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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260728T170000
DTEND;TZID=Europe/London:20260728T180000
DTSTAMP:20260826T183306
CREATED:20260617T150045Z
LAST-MODIFIED:20260630T144743Z
UID:100122220-1785258000-1785261600@www.pathologynews.com
SUMMARY:Meet the Next Generation of Concentriq: Pathology’s AI Platform for Precision Medicine
DESCRIPTION:0000Days00Hrs00Min00SecThis webinar will start at 12pm EST\, 5pm BST\, 6pm CET\, 9am PST \nDiagnostic labs are being asked to do more than ever. Drug development teams are racing to find the right patients for increasingly complex therapies. The old playbook\, a pathology platform with AI bolted on the side\, can’t keep up. \nProscia built the next generation of Concentriq to be a different kind of platform. Concentriq Fifth Generation introduces intelligence that draws from clinical and scientific context to support experts throughout the decisions that define drug discovery and shape the future of diagnosis. \nJoin Proscia for the official first look. We’ll demo the platform live\, hear from customers on the impact\, and walk through how Concentriq helps labs deliver high-volume case reviews and R&D teams advance their programs. \nIn this session: \n\nHow Concentriq Fifth Generation brings intelligence into everyday case review and scientific workflows\nWhat pathologists\, lab leaders\, and scientists can accomplish that wasn’t possible before\nReal-world examples of intelligence accelerating case review\, lab operations\, biomarker discovery\, and clinical development\nA live look at Concentriq Fifth Generation in action\n\nWhether you’re a pathologist\, scientist\, operations leader\, or precision medicine leader\, this is the session that changes how you think about what your pathology platform can do for you. \nRegister NowSpeakers \nDavid West\nChief Executive Officer\nProscia \nColeman Stavish\nChief Technology Officer\nProscia \nDr. Cherub Kim\nDirector\, Medical Affairs and Clinical Informatics Lead\nLabcorp \nDr. Daniel Roberts\nMedical Director of Digital Pathology\nCleveland Clinic \nDr. Amanda Hemmerich\nGlobal Director of Digital Pathology Innovation\nIQVIA Laboratories
URL:https://www.pathologynews.com/event/meet-the-next-generation-of-concentriq-pathologys-ai-platform-for-precision-medicine/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260727T140000
DTEND;TZID=Europe/London:20260727T150000
DTSTAMP:20260826T183306
CREATED:20260715T085920Z
LAST-MODIFIED:20260715T085920Z
UID:100123206-1785160800-1785164400@www.pathologynews.com
SUMMARY:TIA Centre Seminar Series – A Multimodal and Temporal Foundation Model for Virtual Patient Representations at Healthcare System Scale
DESCRIPTION:0000Days00Hrs00Min00SecThe Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions. \nThis seminar features Andrew Zhang from Harvard Medical School\, Boston\, USA. \nAbstract\nThe field of medical AI has traditionally focused on isolated clinical domains\, such as chest X-rays or pathology slides. These data modalities have the advantage of being plentiful\, relatively standard in format\, and information dense. But by looking at only individual snapshots of a patient’s medical journey\, are we missing the forest for the trees? Outside of the world of curated medical imaging datasets\, there are petabytes of clinical data existing in the electronic health record (EHR) as unstructured or semi-structured longitudinal events. These include diagnoses\, symptoms\, lab tests\, clinical reports\, medications\, and more\, each tied to a specific timepoint in the course of a patient’s healthcare journey. With our capacity to train increasingly larger and more powerful AI models\, the next frontier is to build a virtual patient: a model that understands and makes predictions on the entire EHR. In this talk\, I will introduce APOLLO\, a major effort towards modeling whole patients: advancing the state of the art not only in data size (25 billion events from 7.2 million patients) but also in data breadth (structured data\, clinical text\, and images) and downstream capabilities. To evaluate the potential of this model\, we created a large-scale benchmark consisting of over 300 patient retrieval and clinical forecasting tasks and showed that APOLLO patient embeddings generalize across medical domains and encode both retrospective and prognostic information about each patient. APOLLO has exciting applications not only in disease risk prediction but also as a multimodal medical search engine and unlocks the possibility of biomarker discovery from the entire EHR. \nRegister NowBio\nAndrew Zhang is a 4th-year PhD student in the Harvard-MIT Health Sciences and Technology Program\, working in the lab of Dr. Faisal Mahmood at Harvard Medical School. Prior to his PhD\, Andrew studied cell biology and computer science at Harvard. His work centers on advancing self-supervised representation learning at multiple biological and temporal scales: from encoding a single pathology slide to encoding entire longitudinal medical histories.
URL:https://www.pathologynews.com/event/tia-centre-seminar-series-a-multimodal-and-temporal-foundation-model-for-virtual-patient-representations-at-healthcare-system-scale/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260714T030000
DTEND;TZID=UTC:20260714T040000
DTSTAMP:20260826T183306
CREATED:20260701T125138Z
LAST-MODIFIED:20260701T125138Z
UID:100122797-1783998000-1784001600@www.pathologynews.com
SUMMARY:NPIC Digital Pathology Webinar Series - Innovation into Practice - NPIC Digital Pathology Platform and Deployment Strategy
DESCRIPTION:0000Days00Hrs00Min00SecThe National Pathology Imaging Co-Operative (NPIC) continues an exciting new series of free educational webinars on digital pathology topics.​ \n\nLearn first-hand about hot topics in clinical digital reporting\, the digital laboratory\, IT and informatics and get a chance to pose your questions to the experts! ​\nSuitable for pathologists\, biomedical scientists\, informatics and IT professionals\, managers and industry representatives.\n\nIn this session:  \n\nFind out about the NPIC technical platform for digital pathology!​\nHear about the opportunities and challenges of digital pathology deployment\, and the NPIC approach.​\nPose questions to our speakers in our live Q and A session!\n\nRegister NowSpeakers:\nIan Mason\nProgramme Head for Digital Deployment & Business Services​\n\nWaseem Akhtar\nPortfolio Delivery Manager\n\n\nDr Bethany Williams\nNPIC Knowledge and Skills Lead
URL:https://www.pathologynews.com/event/npic-digital-pathology-webinar-series-innovation-into-practice-npic-digital-pathology-platform-and-deployment-strategy/
LOCATION:Online
CATEGORIES:Live Online Webinar
ATTACH;FMTTYPE=image/jpeg:https://www.pathologynews.com/wp-content/uploads/2026/07/NPIC-Digital-Pathology-Webinar-Series-–-Innovation-into-Practice-–-NPIC-Digital-Pathology-Platform-and-Deployment-Strategy.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260708T090000
DTEND;TZID=Europe/London:20260708T100000
DTSTAMP:20260826T183306
CREATED:20260617T132633Z
LAST-MODIFIED:20260617T132633Z
UID:100122209-1783501200-1783504800@www.pathologynews.com
SUMMARY:QC at Scale: Moving Beyond Manual Review in Digital Pathology
DESCRIPTION:0000Days00Hrs00Min00SecThis webinar will start at 10AM EDT\, 7AM PDT\, 4PM CET\, 9am BST \nAs digital pathology volumes grow\, manual quality control is struggling to keep pace. Slide defects like out-of-focus regions and missed tissue can slip through undetected\, reaching pathologists’ queues and undermining diagnostic confidence\, turnaround times\, and AI readiness. \nThis webinar explores how AI-powered automation is transforming lab QC: catching issues early\, reducing rework\, and ensuring only the highest-quality images reach your pathologists. \nWhat you’ll learn\n\nWhy manual QC breaks down at scale — and the hidden costs when it fails\nHow automated QA improves speed\, consistency\, and workflow efficiency across your lab\nWhy image quality is the foundation of every successful digital pathology and AI strategy\n\nThis webinar is ideal for… \nLab managers\, QC staff\, researchers and anyone involved in managing whole slide imaging workflows and their quality control \nRegister NowSpeaker\nKatherine LatimerProduct Manager Digital PathologyBarco \nKat Latimer holds a Master of Engineering in Biomedical Engineering from Colorado State University and a BS in Biochemistry from the University of New Mexico. Her graduate research focused on tissue engineering and end-to-end medical device development. After spending several years at Indica Labs\, she currently leads Barco’s digital pathology product efforts.
URL:https://www.pathologynews.com/event/qc-at-scale-moving-beyond-manual-review-in-digital-pathology/
LOCATION:Online
CATEGORIES:Live Online Webinar
ATTACH;FMTTYPE=image/jpeg:https://www.pathologynews.com/wp-content/uploads/2026/06/QC-at-Scale-Moving-Beyond-Manual-Review-in-Digital-Pathology.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260630T150000
DTEND;TZID=Europe/London:20260630T160000
DTSTAMP:20260826T183306
CREATED:20260528T090917Z
LAST-MODIFIED:20260528T090917Z
UID:100121779-1782831600-1782835200@www.pathologynews.com
SUMMARY:NPIC Digital Pathology Webinar Series - Innovation into Practice - From Research to Real-world Impact: AI and Innovation at NPIC.
DESCRIPTION:0000Days00Hrs00Min00SecThe National Pathology Imaging Co-Operative (NPIC) continues an exciting new series of free educational webinars on digital pathology topics.​​ \n\nLearn first-hand about hot topics in clinical digital reporting\, the digital laboratory\, IT and informatics and get a chance to pose your questions to the experts!​\nSuitable for pathologists\, biomedical scientists\, informatics and IT professionals\, managers and industry representatives.​\n\n​In this session: \n\nDiscover advances in research and innovation in digital pathology and AI.\nFind out more about NPIC’s multi-scanner research facility and the AI-FORGE platform.\nGain insights into supporting collaboration\, enabling real-world research\, and building the foundations for the future of AI-enabled pathology.\n\nRegister NowPresenters\nDr Daljeet Bansal\nNPIC Operations Director\n\nDr Matthew Humphries\nNPIC Head of Research\n\n\nDr Bethany Williams\nNPIC Knowledge and Skills Lead
URL:https://www.pathologynews.com/event/npic-digital-pathology-webinar-series-innovation-into-practice-from-research-to-real-world-impact-ai-and-innovation-at-npic/
LOCATION:Online
CATEGORIES:Live Online Webinar
ATTACH;FMTTYPE=image/png:https://www.pathologynews.com/wp-content/uploads/2026/05/NPIC-Digital-Pathology-Webinar-Series-–-Innovation-into-Practice-–-From-Research-to-Real-world-Impact-AI-and-Innovation-at-NPIC.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260629T150000
DTEND;TZID=Europe/London:20260629T160000
DTSTAMP:20260826T183306
CREATED:20260612T080745Z
LAST-MODIFIED:20260612T080745Z
UID:100122112-1782745200-1782748800@www.pathologynews.com
SUMMARY:Pathologist and AI: A Collaboration in Practice
DESCRIPTION:0000Days00Hrs00Min00SecThis webinar will begin at 4:00 pm CEST\, 5:00 pm EEST\, 10:00 am EDT\, 3:00 pm BST \nEven the most accurate AI models only fulfill their full potential when they fit seamlessly into a pathologist’s daily practice. That’s why we explore the collaboration of the pathologist and the AI in the upcoming webinar. The conversation around AI in pathology fixates on the algorithm — but the real difference is made in how the pathologist and the AI work together. \nDuring this session\, Pathologist and Aiforia’s Medical Director\, Richard Doughty\, will discuss: \n\nBetter together: why the AI–pathologist collaboration matters more than the AI itself\nAI and pathologists\, side by side — see how it’s done\nReal labs\, real results — how AI is being used today\, with practical examples from real-world sites\nA live case\, worked in real time\n\nThis webinar will give a clear\, practical view of what good AI–pathologist collaboration actually looks like. \nRegister NowSpeakers\n\nRichard Doughty\, DVM\, MD\, MSc\, Medical Director\, Aiforia Technologies \n\n\n\nConsulting pathologist at Oslo University Hospital\nMedical doctor and specialist in pathology with extensive diagnostic experience.\nQualified veterinarian with pathology expertise in pharmaceutical research and development.\n\n\n\n\nEmilia Lönnberg\, Commercial Product Manager\, Aiforia Technologies \n\n\n\nHas worked at Aiforia for 4 years\nMSc in life science technologies from Aalto University\, major in human neuroscience
URL:https://www.pathologynews.com/event/pathologist-and-ai-a-collaboration-in-practice/
LOCATION:Online
CATEGORIES:Live Online Webinar
ATTACH;FMTTYPE=image/jpeg:https://www.pathologynews.com/wp-content/uploads/2026/06/Pathologist-and-AI-A-Collaboration-in-Practice.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260629T140000
DTEND;TZID=Europe/London:20260629T150000
DTSTAMP:20260826T183306
CREATED:20260619T105137Z
LAST-MODIFIED:20260619T105137Z
UID:100122240-1782741600-1782745200@www.pathologynews.com
SUMMARY:TIA Centre Seminar Series – Pathology Foundation Models for Text-prompted Segmentation and Precision Oncology
DESCRIPTION:0000Days00Hrs00Min00SecThe Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions. \nThis seminar features Dr Junlin Hou from The Hong Kong University of Science and Technology\, Hong Kong. \nAbstract\nComputational pathology is rapidly moving from task-specific image analysis toward foundation models that enable scalable\, generalizable disease diagnosis and clinical decision support. In this talk\, I will first present our recent work\, PathSegmentor\, a foundation model that enables flexible\, text-prompted segmentation across diverse pathological entities. Beyond segmentation\, I will also provide an overview of our broader efforts in pathology foundation models\, including image enhancement\, whole-slide representation learning\, benchmarking\, and agentic AI systems. These works aim to advance computational pathology toward more precise\, interpretable\, and clinically useful AI for precision oncology. \nRegister NowBio\nDr. Junlin Hou is a Post-doctoral Fellow in the Department of Computer Science and Engineering at The Hong Kong University of Science and Technology (HKUST). She obtained her Ph.D. from the School of Computer Science at Fudan University in 2023. She has published 30+ papers in top-tiered journals and conferences\, including Nature Computational Science\, Nature Biomedical Engineering\, IEEE TMI\, MICCAI\, CVPR\, etc. She has served as a guest editor for CMIG and J. Imaging\, and as a reviewer for 15+ journals and conferences. She also led the team winning 10+ medical grand challenges. Her current research interest is in trustworthy medical AI and computational pathology.
URL:https://www.pathologynews.com/event/tia-centre-seminar-series-pathology-foundation-models-for-text-prompted-segmentation-and-precision-oncology/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260625T160000
DTEND;TZID=UTC:20260625T170000
DTSTAMP:20260826T183306
CREATED:20260506T083327Z
LAST-MODIFIED:20260506T083327Z
UID:100120968-1782403200-1782406800@www.pathologynews.com
SUMMARY:From Images to Insights: Getting Started with RNAscope™ Image Analysis in HALO®
DESCRIPTION:0000Days00Hrs00Min00SecThis webinar will start at 8:00\, PDT\, 11:00 EDT\, 16:00 BST \nDiscover commonly used tools to get started today with RNAscope™ image analysis in HALO®\n\n\n\n\nSummary\n\n\n\n\nJoin us for this 1-hour webinar to learn about the latest RNAscope™ assays from Bio-Techne Spatial and to see a live demonstration of RNAscope™ image analysis using the HALO® platform from Indica Labs. This webinar will demonstrate how to effectively leverage HALO’s ISH and FISH modules for RNAscope analysis\, as well as how to leverage neural networks in HALO AI to improve cell segmentation and classify tissue regions. In addition\, select HALO modules and workflows that are commonly used with RNAscope™ image analysis will be demonstrated. Attendees will leave with practical guidance and best practices for building scalable\, reproducible RNAscope analysis workflows in HALO\, making this session ideal for researchers and core facilities working with both brightfield and fluorescence assays.  \n\n\n\n\n\n\n\n\nLearning Objectives\n\n\n\n\n\nOverview of the RNAscope technology\, key assays and applications  \nLearn about HALO modules for brightfield and fluorescent RNAscope™ image analysis \nDiscover how HALO AI advances RNAscope™ image analysis with superior nuclear segmentation and custom tissue classification  \nLearn about HALO tools commonly used in RNAscope™ analysis such as the TMA (Tissue Microarray) Module and the Spatial Analysis module \n\n\n\n\n\nRegister Now\nPresenters\n\nSpencer Revill\, MSc\nField Applications Scientist\nIndica Labs  \nSpencer Revill is a Field Application Scientist at Indica Labs supporting digital pathology and image analysis with a background in biotechnology and medical sciences. Prior to joining Indica\, he managed a translational research core facility and conducted graduate research in lung pathology using digital image analysis. Spencer now works closely with customers to support evaluations\, proof‑of‑concept studies\, and adoption of HALO\, HALO AI\, and HALO Link across a wide range of research applications. His work focuses on helping researchers translate complex image data into reliable\, reproducible insights using digital pathology.  \nAnushka Dikshit\, PhD\nSenior Manager\, Spatial Biology Applications\nBio-Techne \nAnushka is a Senior Manager and group leader for the Applications Marketing Management team at Bio-Techne Spatial with background in cancer research and immuno-oncology. Anushka and her team are focused on expanding the applications of the RNAscope technology across different research areas through internal and external collaborations. Prior to working for Bio-Techne\, she was involved in identifying novel therapeutic targets for melanoma as a postdoctoral fellow at Duke University. She obtained her doctoral degree from Southern Illinois University\, School of Medicine in Molecular Physiology. 
URL:https://www.pathologynews.com/event/from-images-to-insights-getting-started-with-rnascope-image-analysis-in-halo/
LOCATION:Online
CATEGORIES:Live Online Webinar
ATTACH;FMTTYPE=image/jpeg:https://www.pathologynews.com/wp-content/uploads/2026/05/From-Images-to-Insights-Getting-Started-with-RNAscope™-Image-Analysis-in-HALO®.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260622T140000
DTEND;TZID=Europe/London:20260622T150000
DTSTAMP:20260826T183306
CREATED:20260610T111947Z
LAST-MODIFIED:20260610T111947Z
UID:100122062-1782136800-1782140400@www.pathologynews.com
SUMMARY:How Close Are We to Personalized Treatment Decisions with Causal Machine Learning?
DESCRIPTION:0000Days00Hrs00Min00SecThe Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions. \nThis seminar features Octavia Ciora and Maresa Schröder from LMU Munich\, Munich\, Germany. \nAbstract\nUnderstanding the efficacy and safety of treatments is crucial for optimizing patient outcomes. However\, patients respond differently to the same treatment due to biological\, clinical\, or contextual factors\, which highlights the need for personalized clinical evidence to guide treatment decisions. Causal machine learning offers a promising way to do so by combining causal inference principles with flexible ML models to estimate personalized treatment effects. In this talk\, we present findings from a scoping review of 70 clinical studies applying causal machine learning in personalized medicine. We assessed 41 key methodological choices\, including clinical context\, model\, validation\, heterogeneity analysis\, and clinical translation. We show how these causal ML is currently used\, how their results are validated\, and where important gaps remain. Finally\, we propose a validation framework with methodological recommendations to promote reliable clinical evidence generation. \nRegister NowBio\nOctavia Ciora is a second-year PhD student in computer science at LMU Munich\, supervised by Prof. Stefan Feuerriegel. She holds bachelor’s and master’s degrees in bioinformatics from the Technical University of Munich and LMU Munich. Her research lies at the intersection of causal machine learning and healthcare. Her work focuses on developing machine learning-based frameworks for clinical decision-support\, treatment effect estimation from electronic health records\, and personalized treatment recommendations for oncology. Maresa Schröder is a final-year PhD student in computer science at LMU Munich\, supervised by Prof. Stefan Feuerriegel. She holds a mathematics master’s degree from the Technical University of Munich and bachelor’s degree in economics and mathematics from the University of Mannheim. Her research interest lies in causal machine learning with a special focus on reliable treatment effect estimation\, such as the development of uncertainty quantification and robust estimation methods while ensuring ethical constraints. Furthermore\, she is interested in developing advanced causal methods for medical applications and strategic decision-making.
URL:https://www.pathologynews.com/event/how-close-are-we-to-personalized-treatment-decisions-with-causal-machine-learning/
LOCATION:Online
CATEGORIES:Live Online Webinar
ATTACH;FMTTYPE=image/png:https://www.pathologynews.com/wp-content/uploads/2026/06/TIA-Centre-Seminar-Series-How-Close-Are-We-to-Personalized-Treatment-Decisions-with-Causal-Machine-Learning.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260616T160000
DTEND;TZID=Europe/London:20260616T170000
DTSTAMP:20260826T183306
CREATED:20260528T094030Z
LAST-MODIFIED:20260528T094725Z
UID:100121789-1781625600-1781629200@www.pathologynews.com
SUMMARY:Powering ADC Development with the New HALO® ADC Target Scoring Module
DESCRIPTION:0000Days00Hrs00Min00SecThis webinar will start at 8:00 PDT\, 11:00 EDT\, 16:00 BST \nLearn about the new HALO module designed to streamline analysis for ADC-focused assays\n\n\n\n\nSummary\n\n\n\n\nIn this webinar\, Indica Labs will discuss advancements in antibody-drug conjugates (ADC) therapies and the growing need for reproducible methods to quantify expression and spatial context. This presentation introduces the ADC Target Scoring analysis module in HALO®\, designed to streamline analysis for ADC-focused assays. \nBy integrating AI membrane and nuclear segmentation with built-in spatial analysis\, the ADC Target Scoring workflow enables Quantitative Continuous Scoring (QCS) strategies. Expanded membrane compartment detection and additional optical density metrics provide data for bioinformatic pipelines\, supporting analysis of varied membrane and cytoplasmic staining patterns relevant to ADC biology. \nAttendees will gain insight into how simplified inputs and AI detection reduce manual tuning. A live demonstration will guide participants through the full workflow\, including cell segmentation\, Threshold Assist\, customization of object-level outputs\, and visualization of quantitative and spatial results. \n\n\n\n\n\n\n\n\nLearning Objectives\n\n\n\n\n\nExplore how antibody-drug conjugate (ADC) assays are reshaping targeted therapies\, and how quantitative image analysis can inform development and response prediction \nSee how Indica Labs’ new ADC Target Scoring module bridges image analysis and downstream data interpretation\nUnderstand how AI segmentation and integrated spatial analysis enables QCS approaches  \nWalk through a complete workflow in HALO\, from cell segmentation and Threshold Assist to customizable outputs and result visualization\n\n\n\n\n\nRegister Now\nPresenter\n\nEmily Gamble\nHALO Analysis Product Manager\nIndica Labs  \nEmily Gamble has a background in education and neuroscience. She received her M.S. in Neuroscience from Tulane University in New Orleans\, LA. Emily joined the Product Management team at Indica Labs as the HALO Product Specialist in 2020 and was promoted to her current role as HALO Analysis Product Manager in 2025. Emily works closely with customers and software engineers at all stages of product development to enhance the image analysis experience across the range of HALO modules.
URL:https://www.pathologynews.com/event/powering-adc-development-with-the-new-halo-adc-target-scoring-module/
LOCATION:Online
CATEGORIES:Live Online Webinar
ATTACH;FMTTYPE=image/jpeg:https://www.pathologynews.com/wp-content/uploads/2026/05/Powering-ADC-Development-with-the-New-HALO®-ADC-Target-Scoring-Module.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260611T160000
DTEND;TZID=Europe/London:20260611T170000
DTSTAMP:20260826T183306
CREATED:20260518T091149Z
LAST-MODIFIED:20260518T091149Z
UID:100121338-1781193600-1781197200@www.pathologynews.com
SUMMARY:What is New in HALO®\, HALO AI\, and HALO Link 4.3?
DESCRIPTION:This webinar will start at 8:00 PDT\, 11:00 EDT\, 16:00 BST \nLearn about the exciting new features in the 4.3 versions of HALO\, HALO AI\, and HALO Link!\nSummary\nJoin Indica Labs for an exciting webinar highlighting the latest innovations in HALO\, HALO AI\, and HALO Link 4.3. In this new version\, users can create clean independent slide copies\, enabling blinded workflows without duplicating the image on the storage drive. Users will also experience smoother viewing of svs images with the support of native cloud storage for this image type. \nIn HALO 4.3\, object data generated in different analysis modules can be customized to display and save only what the user needs. Quality of life improvements include enhancements in real-time display of annotation dimensions\, improved notifications\, and display of additional metadata for ome.tiff images. Additionally\, the HALO High Dimensional Analysis module has been updated to include interactive links between feature heatmaps and images\, assisting cluster identification via easier selection and display of the cells in each cluster. \nHALO AI 4.3 offers per-class reporting of phenotypes from a masking/phenotyper pipeline eliminating the need for modules to generate this type of result. In addition\, users can batch launch training sessions and view cross entropy values across sessions\, capabilities that can streamline and inform classifier training. \nIn version 4.3\, HALO Link supports large studies containing tens of thousands of images with performant slide navigation and image viewing. The new capability to add slides to studies directly from search accelerates study creation in version 4.3. For admins\, configurable system-level task management—with visual workflow tracking—and bulk user actions simplify user management and save time\, especially when managing larger teams. \n\n\nLearning Objectives\n\n\n\n\n\nLearn about the new slide copy workflow with independent slide copies    \nLearn about the per–class reporting of phenotyper results in HALO AI masking/phenotyper pipelines \nLearn about improved performance with large studies in HALO Link \nLearn about system–managed customizable tasks  \n\n\n\nRegister Now\nPresenter\n\nDr. Noemi Kedei\nDirector of Product\, Life Sciences \nIndica Labs  \nNoemi Kedei earned an MD degree from University Medical School of Debrecen\, Hungary. She did her postdoctoral training and worked later as a staff scientist in the Laboratory of Cancer Biology and Genetics\, NCI. Her research focused on identifying mechanisms involved in the differential effects of natural compounds and their engineered derivatives acting on protein kinase Cs (PKCs)\, validated targets for anti-cancer treatment. In 2018 she joined the Collaborative Protein Technology Resources (OSTR\, CCR\, NCI) core facility to implement a variety of spatial protein and transcriptomics technologies\, and lead related operations as services to NCI investigators. Noemi provided expertise for development of project based customized antibody protein panels for detection of 40-60 protein targets at single cell level in tissue sections using the CODEX/Phenocycler fusion technology\, and ensured optimal and efficient instrument use. In addition\, she advised and supported users on tools for quantitative image analysis combining different AI-enabled HALO modules and NCI developed pipelines for downstream analysis. Noemi joined Indica Labs as Director of Product – Life Sciences in May\, 2025. 
URL:https://www.pathologynews.com/event/what-is-new-in-halo-halo-ai-and-halo-link-4-3/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260611T150000
DTEND;TZID=Europe/London:20260611T160000
DTSTAMP:20260826T183306
CREATED:20260521T140652Z
LAST-MODIFIED:20260521T140652Z
UID:100121460-1781190000-1781193600@www.pathologynews.com
SUMMARY:Aligning Display Expectations in Digital Pathology: Research Insights\, Tips and Tricks
DESCRIPTION:0000Days00Hrs00Min00SecThis webinar will start at  10AM EDT\, 7AM PDT\, 8AM MDT\, 4PM CET\, 3PM BST \nDigital pathology workflows – whether diagnostic or for research purposes – depend on what you can see\, how consistently you can see it\, and how confidently you can act on it. In this webinar\, Amanda Hemmerich (IQVIA Laboratories) and Tom Kimpe (Barco) discuss display-related considerations for digital pathology and reflect on findings from a recent peer-reviewed article they published together with ADC Therapeutics. \nWhat we’ll cover in this webinar\n\nKey display considerations in digital pathology\nHow study insights can inform expectations and decision-making\nPractical questions to ask yourself when evaluating displays for your lab environment\n\nThe webinar is ideal for… \nPathologists\, lab managers\, researchers and anyone involved in managing whole slide imaging workflows \nRegister NowPresenters\nAmanda Hemmerich\nGlobal Director of Digital Pathology Innovation\nIQVIA Laboratories \nBoard certified in anatomic and clinical pathology and cytopathology\, Dr Amanda Hemmerich leads the global digital pathology strategy\, including implementation of end-to-end workflows that meet regulatory standards and partnerships with image analysis vendors. She also assists with testing at the Genomics Center of Excellence and the Anatomic Pathology Translational Science and Innovation Laboratory in the Raleigh-Durham area of North  Carolina. Dr Hemmerich has expertise in developing digital pathology techniques\, managing large-scale pathology services\, test validation and operationalisation. \nTom Kimpe\nVP Technology & Innovation\nBarco \nTom Kimpe holds a Master of Science degree in computer science engineering\, a Ph.D. in electrical engineering/medical imaging from Ghent University\, and an MBA from the Vlerick Management School in Belgium. He is inventor of several patents\, and (co-)author of tens of scientific publications in the domain of medical imaging & displays\, visualization\, human vision perception\, quality assurance and calibration\, optics\, image processing and artificial intelligence. Dr. Kimpe leads Barco’s healthcare innovation activities\, collaborating with universities\, research institutes\, hospitals\, and medical device companies.
URL:https://www.pathologynews.com/event/aligning-display-expectations-in-digital-pathology-research-insights-tips-and-tricks/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260611T140000
DTEND;TZID=Europe/London:20260611T150000
DTSTAMP:20260826T183306
CREATED:20260507T085125Z
LAST-MODIFIED:20260514T082706Z
UID:100121023-1781186400-1781190000@www.pathologynews.com
SUMMARY:Two-part Webinar Series: Human Brilliance\, Augmented: Mastering Medical Information Overload with RAG and Second Brains. - Part 2
DESCRIPTION:0000Days00Hrs00Min00SecThis webinar will start at 2pm BST\, 9am EST \nIn this two-part webinar series\, Dr Soufiane Azdad and Dr Matthew Cecchini explore how AI is not here to replace the pathologist\, but to act as a powerful tool that augments human brilliance. \nEpisode 2 – The Augmented Lab: From Education to the Grossing Room\nPart 4 – Transforming Medical Education \nGenerating educational outputs directly from the second brain — interactive study aids\, flashcards\, quizzes\, and visual concept maps for medical students and residents. Journal club automation: scanning\, triaging\, and summarizing new literature from targeted journals. \nPart 5 – The Augmented Pathology Workflow \nHow AI-powered knowledge systems pair with physical workflow innovations (e.g.\, computer vision in automated pre-analytical steps) to create the pathology lab of the future. Emphasis on privacy-first\, on-premises architecture. \n*All sessions will be presented in English. \nRegister NowSpeakers\nDr Soufiane Akdad & Dr Matthew Cecchini
URL:https://www.pathologynews.com/event/two-part-webinar-series-human-brilliance-augmented-mastering-medical-information-overload-with-rag-and-second-brains-part-2/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260601T140000
DTEND;TZID=Europe/London:20260601T150000
DTSTAMP:20260826T183306
CREATED:20260519T104944Z
LAST-MODIFIED:20260519T104944Z
UID:100121394-1780322400-1780326000@www.pathologynews.com
SUMMARY:TIA Centre Seminar Series – Co-evolving Computational Pathology: From Interactive Foundation Models (VISTA-PATH) to Agentic Medical Image Analysis (TissueLab)
DESCRIPTION:0000Days00Hrs00Min00SecThe Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions. \nThis seminar features Dr Peixian Liang and Songhao Li from the University of Pennsylvania\, USA. \nAbstract\nComputational pathology is rapidly moving beyond static\, single-task predictors toward interactive systems that can segment\, reason\, and quantify tissue morphology under expert supervision. In this talk\, we present two complementary pillars of this transition from our group. First\, we introduce VISTA-PATH\, an interactive foundation model for histopathology image segmentation designed to resolve heterogeneous tissue structures\, incorporate expert feedback\, and generate pixel-level segmentations that are directly meaningful for clinical interpretation. Trained on over 1.6 million image–mask–text triplets spanning 9 organs and 93 tissue classes\, VISTA-PATH outperforms existing segmentation foundation models and enables clinically relevant biomarkers\, such as the Tumor Interaction Score (TIS)\, which shows a strong association with patient survival. Second\, we present TissueLab\, an open\, co-evolving agentic system (tissuelab.org) for end-to-end medical image analysis. TissueLab unifies foundation models and analytical tools within a modular tool graph\, including VISTA-PATH for interactive segmentation\, and translates LLM-generated plans into executable operations. Through tool-level\, strategy-level\, and workflow-level co-evolution\, it achieves over 90% accuracy in cancer cell quantification within 10-30 minutes of expert feedback\, improves lymph-node metastasis correlation from 0.827 to 0.933\, and reaches a macro-AUC of 0.838 on tubule formation scoring\, outperforming human-orchestrated workflows and state-of-the-art VLMs. \nRegister NowBio\nPeixian Liang is a Postdoctoral Researcher at the University of Pennsylvania\, working with Prof. Zhi Huang. She received her Ph.D. degree in Computer Science from the University of Notre Dame\, Notre Dame\, IN\, USA\, in 2023. Her research focuses on developing innovative AI/ML methods to advance medicine. She is particularly interested in building foundation models and computational frameworks to assist pathologists\, reduce variability in diagnosis\, and identify clinically relevant morphologic biomarkers. Her work aims to advance AI-driven approaches for more precise diagnosis\, prognosis\, and clinical and biological discovery. Songhao Li is a first-year Ph.D. student in Electrical and Systems Engineering at the University of Pennsylvania\, advised by Prof. Zhi Huang. He received his M.S. in Computer Science from New York University in 2025 and brings a strong full-stack and system-engineering background from prior roles in industry. His research focuses on agentic AI\, human–AI collaboration\, and ML/DL for medicine\, aiming to bridge AI research and clinical practice through transparent\, interactive\, and continuously learning systems. 
URL:https://www.pathologynews.com/event/tia-centre-seminar-series-co-evolving-computational-pathology-from-interactive-foundation-models-vista-path-to-agentic-medical-image-analysis-tissuelab/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260519T160000
DTEND;TZID=Europe/London:20260519T170000
DTSTAMP:20260826T183306
CREATED:20260416T093638Z
LAST-MODIFIED:20260416T093638Z
UID:100120336-1779206400-1779210000@www.pathologynews.com
SUMMARY:Masterclass: Performing Spatial Analysis Workflows with HALO®
DESCRIPTION:0000Days00Hrs00Min00SecThe webinar will start at 8:00 PDT\, 11:00 EDT\, 16:00 BST \nLearn how to unlock deeper insights and enhance your data using the HALO Spatial Analysis module\nSummary\nThe HALO® Spatial Analysis module enables quantitative assessment of cellular spatial relationships within whole-slide images\, providing a clear and reproducible way to study spatial biology in brightfield and fluorescence tissue images and supporting richer\, more informative data outputs. Join Indica Labs for a masterclass exploring the key steps in a spatial analysis workflow: validating object data\, defining biologically relevant cell populations via filtering\, and generating interactive spatial plots. David Cordover\, Field Applications Scientist\, will discuss the algorithms included in the module—nearest neighbor\, proximity\, infiltration\, and density heatmaps—and demonstrate how they enable users to measure cell–cell distances\, assess spatial proximity within defined radii\, quantify cellular infiltration across tissue interfaces\, and visualize regional cell density patterns. \nDavid will also explore the Spatial Analysis module’s data visualization capabilities\, including customizable plot layers\, histograms\, color‑scaled heatmaps\, and markup images\, and walk through how they support both quality control and biological interpretation. Advanced features for saving and reusing spatial analysis settings\, batch processing across studies\, and exporting detailed summary metrics\, object‑level data\, plots\, and reports for downstream statistical analysis will also be highlighted. \n\n\nLearning Objectives\n\n\n\n\n\nLearn how to prepare and use cell and object data for spatial analysis in HALO \nRun and understand key spatial analysis tools\, including nearest neighbor\, proximity\, infiltration\, and density heatmaps\nView and adjust spatial results using plots and markup images \nRun analyses on multiple images\, save settings\, and export results for further use \n\n\n\nRegister Now\nPresenter\n\nDavid Cordover \nField Applications Scientist \nIndica Labs  \nDavid Cordover is a research field scientist with over 20 years of experience supporting research in large biopharma\, biotech\, and CRO organizations. His career spans roles at AMGEN\, Takeda\, Akoya Biosciences\, and small CRO’s specializing in histology and digital pathology. For most of his career he has focused on AI‑ and ML‑driven image analysis\, digital pathology\, and quantitative biomarker discovery. David has led high‑impact biomarker programs from preclinical research through IND stages\, working with multiple image analysis platforms and whole‑slide scanners\, including HALO AI\, Visiopharm\, and Akoya technologies. 
URL:https://www.pathologynews.com/event/masterclass-performing-spatial-analysis-workflows-with-halo/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260519T150000
DTEND;TZID=Europe/London:20260519T160000
DTSTAMP:20260826T183306
CREATED:20260507T084648Z
LAST-MODIFIED:20260514T082723Z
UID:100121016-1779202800-1779206400@www.pathologynews.com
SUMMARY:Two-part Webinar Series: Human Brilliance\, Augmented: Mastering Medical Information Overload with RAG and Second Brains. - Part 1
DESCRIPTION:0000Days00Hrs00Min00SecThis webinar will start at 3pm BST\, 10am EST \nIn this two-part webinar series\, Dr Soufiane Azdad and Dr Matthew Cecchini explore how AI is not here to replace the pathologist\, but to act as a powerful tool that augments human brilliance. \nEpisode 1 – The Cognitive Copilot: Taming Information Overload\nPart 1 – The Problem: Information Overload in Medicine \nThe exponential growth of medical literature\, complex classification updates\, and the cognitive load on practicing pathologists. Why generic LLMs fall short in clinical settings — hallucinations\, lack of source grounding\, and insufficient reliability for medical decision-making. \nPart 2 – Grounded AI: Retrieval-Augmented Generation at Scale \nPathology Outlines \nMyPathologyReport.com Osler \nBrief overview of NotebookLM as an accessible entry point for source-grounded AI. \nPart 3 – The Second Brain: Building a Living Knowledge Ecosystem \nThe second brain concept: moving beyond simple PDF querying to a comprehensive\, interconnected knowledge graph linking diagnoses\, IHC panels\, molecular testing\, and case notes. \nDemo of the daily workflow — capturing\, linking\, and retrieving knowledge at the point of need. \nLLM-KB-Wiki: the emerging approach (inspired by Andrej Karpathy) of giving an LLM the structured index of your knowledge base rather than traditional RAG. \nLocal LLM deployment via Ollama on Mac Studio (M4 Max\, 128GB) — guaranteed patient privacy\, zero-cost inference. \nMulti-agent systems interacting with customized wikis as a tailored diagnostic co-pilot. \n*All sessions will be presented in English. \nRegister NowSpeakers\nDr Soufiane Akdad & Dr Matthew Cecchini
URL:https://www.pathologynews.com/event/two-part-webinar-series-human-brilliance-augmented-mastering-medical-information-overload-with-rag-and-second-brains-part-1/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260519T150000
DTEND;TZID=Europe/London:20260519T160000
DTSTAMP:20260826T183306
CREATED:20260427T102432Z
LAST-MODIFIED:20260427T151942Z
UID:100120617-1779202800-1779206400@www.pathologynews.com
SUMMARY:NPIC Digital Pathology Webinar Series - Innovation into Practice – NPIC Overview and Laboratory Implementation.​
DESCRIPTION:0000Days00Hrs00Min00SecThe National Pathology Imaging Co-Operative (NPIC)continues an exciting new series of free educational webinars on digital pathology topics. \n\nLearn first-hand about hot topics in clinical digital reporting\, the digital laboratory\, IT and informatics and get a chance to pose your questions to the experts! ​\nSuitable for pathologists\, biomedical scientists\, informatics and IT professionals\, managers and industry representatives.​\n\n​In this session:​​ \n\nGet an update of the NPIC national digital pathology PACS system in the NHS and the associated NPIC Secure Data Environment.​\nFind out how you can join NPIC and get involved.​\nLearn about digital implementation in the laboratory\, including practical considerations and tips for successful deployment.\n\nRegister NowPresenters\nProf Darren Treanor\nNPIC Programme Director\nNPIC\n\nShamila Jabbar\nNPIC Lead Biomedical Scientist\nNPIC\n\n\nDr Bethany Williams\nNPIC Knowledge and Skills Lead\nNPIC
URL:https://www.pathologynews.com/event/npic-digital-pathology-webinar-series-innovation-into-practice-npic-overview-and-laboratory-implementation/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260511T140000
DTEND;TZID=UTC:20260511T150000
DTSTAMP:20260826T183306
CREATED:20260423T092530Z
LAST-MODIFIED:20260423T092530Z
UID:100120535-1778508000-1778511600@www.pathologynews.com
SUMMARY:TIA Centre Seminar Series – Computational Pathology for Discovering Biomarkers of Immunotherapy Response in Advanced Melanoma
DESCRIPTION:0000Days00Hrs00Min00SecThe Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions. \nThis seminar features Dr Mark Schuiveling from UMC Utrecht\, the Netherlands. \nAbstract\nImmune checkpoint inhibition (ICI) has significantly improved outcomes for patients with advanced cutaneous melanoma\, leading to durable responses and potential long-term remission in approximately half of patients. However\, it is also associated with severe and sometimes irreversible toxicity\, underscoring the need for reliable biomarkers. In our group\, we investigate whether computational pathology approaches add value beyond clinical data for identifying biomarkers associated with treatment response in these patients. In this talk\, I will highlight our work on tumor-infiltrating lymphocytes in melanoma histopathology\, as well as our recent work in the PUMA challenge\, where we assessed whether additional immune cell subsets provide further associated predictive value. \nRegister NowBio\nMark Schuiveling is a medical doctor and PhD candidate at the University Medical Centre Utrecht\, the Netherlands. He is expected to defend his thesis in the summer of 2026 and is currently working as an internal medicine resident\, after which he will begin an oncology fellowship in 2027. His research focuses on melanoma\, in which he and his colleagues have assembled a multicentre dataset of digitized whole-slide images\, CT scans\, and clinical data\, with the aim of improving prediction of response to first-line immune checkpoint inhibition in patients with advanced melanoma. His work has primarily focused on histopathological analysis\, including tumor-infiltrating lymphocyte (TIL) assessment\, as well as on the organization of the PUMA challenge\, which investigated whether additional immune cell subtypes provide added predictive value.
URL:https://www.pathologynews.com/event/tia-centre-seminar-series-computational-pathology-for-discovering-biomarkers-of-immunotherapy-response-in-advanced-melanoma/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260505T160000
DTEND;TZID=Europe/London:20260505T170000
DTSTAMP:20260826T183306
CREATED:20260330T083139Z
LAST-MODIFIED:20260330T083139Z
UID:100119976-1777996800-1778000400@www.pathologynews.com
SUMMARY:Advancing Precision Medicine Through Pathology and AI-Powered CDx with Indica Labs
DESCRIPTION:0000Days00Hrs00Min00SecThe webinar starts at 8:00 PDT\, 11:00 EDT\, 16:00 BST \nLearn about Indica Labs’ ability to deliver AI-driven CDx\n\n\nSummary\n\n\n\n\nJoin Indica Labs for an exciting webinar on developing AI-powered companion diagnostics in digital pathology. In this comprehensive session\, Indica Labs will introduce its vision for transforming bench to bedside to bench workflows\, take a deep dive into our experience in AI image analysis\, and demonstrate its ability to bring diagnostic products to market. Along the way\, you’ll learn about our experience conducting early proof-of-concept studies\, advancing them to biomarker discovery\, and managing clinical trial assays.   \nDon’t miss this opportunity to hear from senior executives as well as the CEO and Founder of Indica Labs on the topic of developing AI-driven companion diagnostics.  \n\n\nLearning Objectives\n\nLearn about Indica Labs’ initiatives and strategy for developing AI-powered CDx products in digital pathology\nGain insight into Indica Labs’ strategic partnership with Leica Biosystems\nDiscover how Indica Labs can take AI-based early proof-of–concept studies all the way through the development lifecycle to become a regulatory approved CDx\nFind out about deployment options in the CE-IVDR HALO AP® platform\nUnderstand the pathway to regulatory approval for CDx co-developed with Indica Labs and options for additional strategic partnerships\n\nHALO AP® is CE-IVDR marked for in-vitro diagnostic use in Europe\, the UK\, and Switzerland. HALO AP® is For Research Use Only in the USA and is not FDA cleared for clinical diagnostic use. In addition\, HALO AP® provides built-in compliance with FDA 21 CFR Part 11\, HIPAA\, and GDPR. \nRegister Now\nPresenters\n\nSteven Hashagen \nCEO and Founder\nIndica Labs  \nSteven Hashagen is the founder and CEO of Indica Labs\, a leading digital pathology software and AI company. Prior to forming Indica Labs in 2011\, Steven held software engineering\, software architect\, and product management roles at Aperio Technologies. Through this combined experience Steven has been a pioneer in the digital pathology field for over 20 years.  \nPeter Caie\, PhD\nSr. Director\, Precision Medicine\nIndica Labs \nPeter Caie worked for 9 years as a Senior Scientist at AstraZeneca before completing his PhD from the University of Edinburgh in Cancer Pathology. He went on to run the Quantitative and Digital Pathology (QUAD) Lab at the University of St Andrews where his research focused on artificial intelligence\, cancer prognosis and diagnosis in the field of digital and molecular pathology. Currently\, Dr. Caie is a Senior Director at Indica Labs where he manages the development of commercial AI products\, including CDx assays\, designed for deployment in both the clinical and life science fields.  \nDoug Bowman (Moderator)\nVP Precision Medicine\nIndica Labs  \nDoug is responsible for Indica Labs’ Precision Medicine group that partners with pharma companies to bring new AI-powered companion diagnostics to market. His team leads the commercial development of clinical AI solutions that deploy in HALO AP® and span laboratory operations to clinical research and diagnostic use cases. His Pharma Services team\, with deep experience in quantitative image analysis services\, supports customers’ pre-clinical and clinical biomarker assays. Prior to Indica Labs\, he spent 12+ years at Takeda Pharmaceuticals where he led the tissue-based imaging capabilities to support early discovery\, translational\, and clinical programs. Doug has a BSE in biomedical and electrical engineering from Duke University. 
URL:https://www.pathologynews.com/event/advancing-precision-medicine-through-pathology-and-ai-powered-cdx-with-indica-labs/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260428T160000
DTEND;TZID=Europe/London:20260428T170000
DTSTAMP:20260826T183306
CREATED:20260416T091002Z
LAST-MODIFIED:20260416T093435Z
UID:100120322-1777392000-1777395600@www.pathologynews.com
SUMMARY:Inside Concentriq: The Product Behind the Top KLAS Score
DESCRIPTION:0000Days00Hrs00Min00SecThe webinar will start at 11am ET\, 4pm BST \nDigital Pathology Built for Real-World Practice\nAs digital pathology moves into daily practice\, the standard for what a platform should deliver is rising: an experience that works the way pathologists think\, operations that grow with the lab\, and AI that fits naturally into the workflow. \nProscia built Concentriq to that standard\, and continues to evolve it alongside the customers who use it every day. As a result\, Proscia’s customers told KLAS they trust Concentriq\, rating Proscia the top-performing digital pathology vendor across the US¹ and Europe.² \nJoin Proscia’s product team for a look at how the platform works in practice across academic medical centers\, health systems\, and reference labs — and a sneak peek at what we’re building next. Plus\, you’ll hear from guest speaker Daniel Roberts\, MD\, Medical Director of Digital Pathology at Cleveland Clinic\, on what digital pathology adoption and change management actually looks like in practice at one of the nation’s largest academic medical centers. \nRecommended for: Pathology leaders\, laboratory operations teams\, IT and informatics professionals\, and digital pathology leaders evaluating or expanding digital pathology programs. \nRegister NowPresenters\n\nDr. Daniel Roberts\nMedical Director of Digital Pathology\nCleveland Clinic\n\nAmanda Coble\nSenior Director of Product\nProscia\n\nPradyuman Kodavatiganti\nSenior Product Designer\nProscia\n\n\nAshley Faber\nSenior Director of Product Marketing\nProscia
URL:https://www.pathologynews.com/event/inside-concentriq-the-product-behind-the-top-klas-score/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260427T140000
DTEND;TZID=Europe/London:20260427T150000
DTSTAMP:20260826T183306
CREATED:20260323T133351Z
LAST-MODIFIED:20260323T133351Z
UID:100119827-1777298400-1777302000@www.pathologynews.com
SUMMARY:Foundation Models in Oncology: Why Benchmark Success Does Not Translate to Clinical Practice
DESCRIPTION:0000Days00Hrs00Min00SecThe Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions. \nThis seminar features Dr Duan Zhiyun from Fudan University\, China. \nAbstract\nFoundation models are rapidly reshaping biomedical research and hold great promise for oncology. Yet despite impressive benchmark performance\, their impact in real clinical settings remains limited. A key reason is that most current models are designed as narrow specialists optimized for static tasks\, while clinical oncology requires more generalist systems. Effective clinical support demands models that can integrate multimodal information\, follow the longitudinal course of disease\, and incorporate patient perspectives into decision-making. Rethinking model design along these dimensions will be crucial if foundation models are to move beyond benchmarks and become trusted partners in cancer care. \nRegister NowBio\nDuan is a medical doctor at Zhongshan Hospital of Fudan University\, Shanghai\, China. He has published as first author in several great journals in medicine\, including Cell Reports Medicine\, Nature Cancer\, and Journal of Translational Medicine over the past three years.
URL:https://www.pathologynews.com/event/foundation-models-in-oncology-why-benchmark-success-does-not-translate-to-clinical-practice/
LOCATION:Online
CATEGORIES:Live Online Webinar
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260416T160000
DTEND;TZID=Europe/London:20260416T170000
DTSTAMP:20260826T183306
CREATED:20260402T132342Z
LAST-MODIFIED:20260402T132342Z
UID:100120080-1776355200-1776358800@www.pathologynews.com
SUMMARY:Why Aiforia’s Foundation Engine is Advancing Digital Pathology
DESCRIPTION:0000Days00Hrs00Min00SecThis webinar will start at 5 pm CEST\, 6 pm EEST\, 11 am pm EDT \nAI model development used to be a marathon of data and time\, but we have built a shortcut. Join Aiforia’s CPO and Director of Software Development to discover how Aiforia’s Foundation Engine elevates your research and diagnostics. \nThis session explores the design principles of Aiforia’s Foundation Engine and explains how this patent-pending technology sets a new benchmark for high-performance pixel-level image analysis and clinical-grade quality. \nPanu Kauppila\, M.Sc. (Tech.)\, Aiforia’s Chief Product Officer\, together with Yrjö Häme\, Ph.D.\, Aiforia’s Director of Software Development\, explain how pre-trained foundation models reduce AI model development timelines\, improve robustness\, and\, when combined with pathologists’ task-specific annotations\, provide even greater precision in clinical workflows. They will dive into Foundation Engine’s unparalleled technological architecture and capabilities\, enabling faster development and better generalization than with models based on convolutional neural networks. \nWhat will the session cover\n\nTechnology: analyzing the “under the hood” mechanics that power the Foundation Engine\nBenefits: maximizing AI model development throughput and expert-level precision with significantly less training data and manual effort while remaining cost-effective\nIntegration: how to access and deploy Foundation Models within the platform\nPractical examples: real-world use cases and performance results in Aiforia.\n\nWho should join?\n\nClinical pathologists seeking more robust and transparent AI tools\nDigital pathology innovators looking for the ultimate shortcut to high-performance AI models\nResearchers aiming to scale their throughput with less training data\nLab directors and managers aiming to increase diagnostic throughput and ensure reproducibility across clinical workflows\n\nRegister NowPresenters\nPanu Kauppila\, M.Sc. (Tech.)\nChief Product Officer\nAiforia \nPanu Kauppila is the Chief Product Officer (CPO) of Aiforia\, playing a key role in defining Aiforia’s product portfolio and prioritizing product development. He has more than 25 years of experience in productization and management of innovation in the medical technology sector in international companies. Thus\, Panu has a profound understanding of how\, with strong technological expertise\, scalable products can be built on top of a software platform for demanding preclinical and clinical use. He holds an M.Sc. in Physics and Medical Technology. \nYrjö Häme\, Ph.D.\nDirector of Software Development\nAiforia \nPanu Kauppila is the Chief Product Officer (CPO) of Aiforia\, playing a key role in defining Aiforia’s product portfolio and prioritizing product development. He has more than 25 years of experience in productization and management of innovation in the medical technology sector in international companies. Thus\, Panu has a profound understanding of how\, with strong technological expertise\, scalable products can be built on top of a software platform for demanding preclinical and clinical use. He holds an M.Sc. in Physics and Medical Technology.
URL:https://www.pathologynews.com/event/why-aiforias-foundation-engine-is-advancing-digital-pathology/
LOCATION:Online
CATEGORIES:Live Online Webinar
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260416T160000
DTEND;TZID=UTC:20260416T170000
DTSTAMP:20260826T183306
CREATED:20260302T141300Z
LAST-MODIFIED:20260302T141300Z
UID:100119058-1776355200-1776358800@www.pathologynews.com
SUMMARY:HALO AP 2.5 Sneak Peek Webinar
DESCRIPTION:0000Days00Hrs00Min00SecThe webinar starts at 8:00 PDT\, 11:00 EDT\, 16:00 BST \nLearn about the exciting new features in the 2.5 versions of HALO AP®!\n\n  \n\nSummary\n\n\n\n\nJoin us for a 1-hour webinar showcasing the latest advancements in HALO AP® version 2.5. Our robust digital pathology platform has been enhanced to support multi-site deployments\, new tools for the pathologist\, enhanced toolkit for collaboration\, and new Lab Logic capabilities. Hallie Rane\, Associate Product Manager for Clinical Applications at Indica Labs\, will demonstrate HALO AP’s Lab Logic capabilities\, highlighting recent improvements and exciting new features that make it easier to configure workflows combining AI results\, rules\, thresholds\, and manual review steps. Lab Logic brings these elements together in a single\, cohesive model\, giving labs more control over how decisions are made and actions are triggered across the platform.  \nHallie will also highlight updates to the tumor board module version 2.0 and show attendees how the new tumor board features support complex diagnostics when multi-disciplinary collaboration is key. Hallie will also give a detailed overview of additional HALO AP 2.5 features which include robust functionality and improved support for multi-site institutions including smart slide lists and profiles; site-specific reporting on a single platform; secondary assignee workflows; and multi-specimen support for a truly comprehensive bench-to-bedside workflow.  \n\n\n\n  \n\n\nLearning Objectives\n\n\n\n\n\nUnderstand the functionality of the HALO AP®platform and how it supports image and case management in anatomic pathology.\nUnderstand how Lab Logic provides a unified way to define\, manage and automate workflow behavior across AI and manual processes.\nDiscover new and improved collaboration tools for support of complex diagnostics and multi-disciplinary team meetings and learn how these new features support large medical institutions and multi-site deployments.\nIdentify how the new features in HALO AP 2.5 work together to create a configurable\, fully automatic\, AI-ready workflow for bench-to-bedside support. \n\n\n\nHALO AP® is CE-IVDR marked for in-vitro diagnostic use in Europe\, the UK\, and Switzerland. HALO AP® is For Research Use Only in the USA and is not FDA cleared for clinical diagnostic use. In addition\, HALO AP® provides built-in compliance with FDA 21 CFR Part 11\, HIPAA\, and GDPR. WBS-MAR-000020v1 \n\nRegister Now\nPresenter\n\nHallie RaneAssociate Product Manager for Clinical Applications Indica Labs  \nHallie Rane received a BS in biology from the University of New Mexico and has a background in molecular biology and evolution. Hallie joined Indica Labs in 2023 as the Product Specialist for HALO AP. Prior to Indica Labs\, Hallie worked in both industry and academic positions and has held a variety of technical and customer-facing roles\, where she collaborated with customers\, scientists\, and technicians to develop a diverse array of products. Her journey encompassed ventures into biotechnology innovation\, academic research labs\, and even the realm of craft beer production\, where she served as Head Brewer. 
URL:https://www.pathologynews.com/event/halo-ap-2-5-sneak-peek-webinar/
LOCATION:Online
CATEGORIES:Live Online Webinar
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260413T143000
DTEND;TZID=Europe/London:20260413T153000
DTSTAMP:20260826T183306
CREATED:20260323T132633Z
LAST-MODIFIED:20260323T132633Z
UID:100119823-1776090600-1776094200@www.pathologynews.com
SUMMARY:SAGE: Agentic Framework for Interpretable and Clinically Translatable Computational Pathology Biomarker Discovery
DESCRIPTION:0000Days00Hrs00Min00SecThe Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions. \nThis seminar features Dr Sahar Almahfouz Nasser from Emory University\, USA. \nAbstract\nDespite significant progress in computational pathology\, many AI models remain black-box and difficult to interpret\, posing a major barrier to clinical adoption due to limited transparency and explainability. This has motivated continued interest in engineered image-based biomarkers\, which offer greater interpretability but are often proposed based on anecdotal evidence or fragmented prior literature rather than systematic biological validation. We introduce SAGE (Structured Agentic system for hypothesis Generation and Evaluation)\, an agentic AI system designed to identify interpretable\, engineered pathology biomarkers by grounding them in biological evidence. SAGE integrates literature-anchored reasoning with multi-modal data analysis to correlate image-derived features with molecular biomarkers\, such as gene expression\, and clinically relevant outcomes. By coordinating specialized agents for biological contextualization and empirical hypothesis validation\, SAGE prioritizes transparent\, biologically supported biomarkers and advances the clinical translation of computational pathology. \nRegister NowBio\nDr. Sahar Almahfouz Nasser is a postdoctoral researcher at Emory University’s Madabhushi Lab\, working at the intersection of computational pathology\, agentic AI\, and translational oncology. She is the creator of SAGE\, an agentic framework for biologically grounded and clinically translatable biomarker discovery\, with a focus on interpretable and trustworthy AI for cancer care. She is a recipient of the Qualcomm Innovation Fellowship\, and her work has been published in leading AI and medical imaging venues.
URL:https://www.pathologynews.com/event/sage-agentic-framework-for-interpretable-and-clinically-translatable-computational-pathology-biomarker-discovery/
LOCATION:Online
CATEGORIES:Live Online Webinar
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260409T150000
DTEND;TZID=Europe/London:20260409T160000
DTSTAMP:20260826T183306
CREATED:20260310T104319Z
LAST-MODIFIED:20260310T154422Z
UID:100119214-1775746800-1775750400@www.pathologynews.com
SUMMARY:From Research to Routine: High-Throughput Spatial Biology with ZEISS and Mindpeak
DESCRIPTION:0000Days00Hrs00Min00SecAs the demand for complex biomarker analysis and precision oncology grows\, organizations face significant hurdles in scaling multiplex immunofluorescence (mIF) and spatial biology for high-throughput production. Traditional spatial workflows are often fragmented\, relying on manual processes and complex image analysis pipelines that require hundreds of hours of training and specialized bioinformatics expertise. \nIn this webinar\, we explore how to eliminate these bottlenecks and transition spatial biology from a low-throughput research tool into a robust\, production-ready environment that delivers images in and results out. We will dive into the integrated\, end-to-end solution developed by ZEISS and Mindpeak\, designed to seamlessly connect reagents\, high-speed scanning\, and automated image analysis. Attendees will learn how the ZEISS AxioScan 7 Spatial Biology enables standardized\, clinical-routine-ready imaging capable of processing up to 100 slides per day. \nFurthermore\, we will demonstrate how Mindpeak’s PhenoScout AI provides a “Turn-key” analysis experience\, allowing users to bypass months of algorithm training and achieve expert-grade\, single-cell precision without requiring any prior image analysis expertise. \nJoin us to discover how this seamless integration minimizes data handling complexities\, accelerates time-to-insight\, and ultimately establishes a reliable pathway from translational research and clinical trials to future diagnostic assays. \nLearning Objectives\n\nIdentify key hurdles of bringing mIF/spatial biology into high-throughput production.\nDiscuss solutions on the reagents\, scanner\, workflow\, and image analysis parts of the workflow\, with an emphasis on PhenoScout by Mindpeak.\nEvaluate the requirements for transitioning from manual research protocols to clinical-routine-ready imaging ecosystems.\n\nWhat We Will Cover\n\nHigh-Throughput Imaging: How the ZEISS AxioScan 7 enables standardized\, clinical-grade imaging for up to 100 slides per day.\nTurn-key AI Analysis: How Mindpeak’s PhenoScout AI provides expert-grade\, single-cell precision without requiring prior image analysis or algorithm training.\nClinical Pathways: How this integration minimizes data handling\, accelerates time-to-insight\, and establishes a reliable path from research to future diagnostic assays.\n\nKey Takeaways\n\nSpatial biology is now ready for production: Organizations can finally scale complex spatial workflows without sacrificing speed or reliability.\nUnlocking Massive Scale and Reliability (ZEISS Advantage): Achieve unprecedented throughput and standardization. By providing a highly reproducible\, clinical-routine-ready imaging ecosystem\, ZEISS allows labs to confidently process up to 100 slides per day\, establishing a clear pathway from translational research to regulatory clearance.\nEliminating the Analysis Bottleneck (Mindpeak Advantage): Experience “Zero Friction” spatial analysis. Mindpeak’s clinically validated AI completely removes the need for specialized bioinformatics expertise or months of software training. Users get immediate\, expert-grade precision\, freeing them to focus entirely on actionable biology rather than managing complex IT infrastructure.\nA Seamless\, End-to-End Clinical Pathway: Together\, ZEISS and Mindpeak deliver a fully automated\, end-to-end solution. From standardized high-quality image acquisition to instant\, reproducible biomarker reporting\, the integrated workflow minimizes data handling complexities and accelerates time-to-insight for high-throughput clients.\nReduced Operational Overhead: Automation of both hardware and software steps significantly lowers the cost-per-slide and reduces human error\, making spatial biology a viable option for large-scale clinical trials.\nStandardization for Future Diagnostics: This integrated approach provides the data consistency and quality control necessary to move biomarkers from the discovery phase toward validated clinical assays.\n\nRegister NowSpeakers\nDr. Moritz Widmaier \nExpert in Spatial Biology & Digital Pathology \nZEISS Research Microscopy Solutions \nDr. Moritz Widmaier is a recognized leader in spatial biology\, digital pathology\, and biomarker data analytics. Currently at ZEISS Research Microscopy Solutions\, he drives innovation in spatial biology workflows\, focusing on automation\, AI-powered image analysis\, and advanced imaging solutions like the ZEISS Axioscan 7 spatial Biology. \nWith a Ph.D. in Biochemistry and a unique ability to bridge the gap between complex biology and data science\, Dr. Widmaier has a proven track record of developing cutting-edge AI and data analytics products. Prior to ZEISS\, he held pivotal scientific and product leadership roles at industry-leading companies\, including Definiens\, AstraZeneca and Ultivue. \nHis extensive expertise spans across (immuno-) oncology\, multiplex immunofluorescence reagent chemistry and assay development and machine learning. Today\, Dr. Widmaier specializes in helping researchers leverage automated imaging and AI to turn intricate spatial data into reproducible\, actionable clinical and research insights. \nDr. Fabian Schneider \nSenior Product Manager \nMindpeak \nFabian Schneider\, PhD\, is Senior Product Manager at Mindpeak\, where he shapes the development and delivery of AI solutions for pathology. He has more than a decade of experience across leading organisations in computational pathology\, oncology and biomarker research. His career has spanned both scientific and product leadership\, from contributing to the establishment of automated data reporting for digital pathology assay data supporting clinical oncology studies at Roche\, to advancing computational pathology pipelines at AstraZeneca and leading product development for research solutions at Visiopharm. \nWith a doctorate from the University Hospital Frankfurt focused on Wnt signalling in tumour formation and angiogenesis\, followed by postdoctoral research at the Karolinska Institutet and the Technical University of Munich\, Dr. Schneider combines scientific depth with hands-on experience in product strategy and clinical translation. At Mindpeak\, he draws on this background to guide the development of AI tools that are scientifically robust\, clinically relevant and aligned with the needs of pathologists worldwide.
URL:https://www.pathologynews.com/event/from-research-to-routine-high-throughput-spatial-biology-with-zeiss-and-mindpeak/
LOCATION:Online
CATEGORIES:Live Online Webinar,PN Webinar
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260408T160000
DTEND;TZID=UTC:20260408T170000
DTSTAMP:20260826T183306
CREATED:20260402T161306Z
LAST-MODIFIED:20260402T161306Z
UID:100120087-1775664000-1775667600@www.pathologynews.com
SUMMARY:Advancing Imaging Interoperability Together: A DPA-CAP-SIIM Collaboration to Improve Standardized Workflow Adoption
DESCRIPTION:0000Days00Hrs00Min00SecOverviewInteroperability across medical imaging is no longer optional—it is foundational to the future of connected\, scalable\, and patient-centered care. In this webinar\, we will review results from the recent SIIM-DPA-CAP DICOM Toolkit Survey and discuss what they reveal about the current state of standards adoption in digital pathology. Additionally\, the session will examine the critical role of DICOM and IHE in supporting consistent imaging metadata and enabling interoperability across pathology\, radiology\, and other imaging-rich specialties. A panel featuring representatives from DPA\, CAP\, SIIM and pathologists with standards based interoperability\, including deployment for clinical use\, will share perspectives on current challenges\, emerging opportunities\, and the importance of coordinated action. \nLearning ObjectivesBy the end of this webinar\, participants will be able to: \n\nSummarize the key findings of the recent DICOM Toolkit Survey and their implications for standards adoption and interoperability in medical imaging.\nDescribe the importance of DICOM and IHE standards in supporting consistent\, interoperable imaging metadata across pathology\, radiology\, and other imaging domains.\nDiscuss the role of DPA in accelerating cross-organizational collaboration in advancing practical interoperability for clinical care\, operations\, and innovation.\n\nRegister NowPresentersAlexander Towbin\, MD\, FAAP\, FACR\, FSIIM\, FICIS\nCincinnati Children’s Hospital Medical Center \nAlexander J. Towbin\, MD is Professor of Radiology and the Neil D. Johnson Chair of Radiology Informatics at Cincinnati Children’s Hospital Medical Center. He also serves as Associate Chief of Radiology\, Associate Chief Medical Information Officer\, and Associate Chief of Staff. Internationally recognized for advancing pediatric radiology\, imaging informatics\, and quality improvement\, he brings particular expertise in abdominal and cancer imaging and in the use of imaging data to improve clinical care and interoperability across the healthcare enterprise. \nA prolific scholar and educator\, Dr. Towbin has delivered invited lectures worldwide and published more than 400 manuscripts and 150 book chapters. He currently serves as Chair-Elect of the Society for Imaging Informatics in Medicine and previously served as co-chair of the HIMSS–SIIM Enterprise Imaging Community. His work bridges clinical care\, research\, and informatics to improve outcomes for children\, families\, and the healthcare workforce. \nKevin Schap\, MScBMI\nDirector of Clinic Informatics\, Digital Pathology\, and Data Science\nCollege of American Pathologists \nKevin Schap\, MScBMI\, is Director of Clinical Informatics\, Digital Pathology\, and Data Science at the College of American Pathologists. He specializes in advancing digital pathology standards\, with expertise in DICOM whole slide imaging (WSI) and IHE Pathology and Laboratory Medicine (PaLM) interoperability frameworks. Kevin oversees multiple CAP initiatives\, including the AI Committee\, Digital and Computational Pathology Committee\, Informatics Committee\, and the Council on Informatics and Pathology Innovation. His work focuses on accelerating standards adoption and developing educational strategies that empower pathologists to effectively evaluate and integrate artificial intelligence tools into clinical practice. \nMustafa Yousif\, MD\nUniversity of Michigan \nDr. Mustafa Yousif is the Associate Chief Medical Information Officer\, Associate Director of Pathology Informatics\, Assistant Professor of Pathology Informatics\, and Medical Director of Digital Pathology at the University of Michigan. He completed his anatomical and clinical pathology residency at Wake Forest University\, followed by fellowships in Gynecologic and Breast Pathology at the University of Pittsburgh Medical Center and Pathology Informatics at the University of Michigan. Dr. Yousif serves as Co-chair of DICOM WG-26: Pathology. His research focuses on digital pathology\, artificial intelligence\, computer vision\, and image analysis\, alongside gynecologic and breast pathology. \nModeratorsJohn Groth\, MD\, Pathologist\,Endeavor Health \nJennifer Samboy\, MHA\, Digital Transformation Leader\, Philips Digital & Computational Pathology
URL:https://www.pathologynews.com/event/advancing-imaging-interoperability-together-a-dpa-cap-siim-collaboration-to-improve-standardized-workflow-adoption/
LOCATION:Online
CATEGORIES:Live Online Webinar
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260331T150000
DTEND;TZID=Europe/London:20260331T160000
DTSTAMP:20260826T183306
CREATED:20260302T135657Z
LAST-MODIFIED:20260302T135657Z
UID:100119049-1774969200-1774972800@www.pathologynews.com
SUMMARY:Masterclass: Unlock Cell Population Discovery Using HALO® High Dimensional Analysis
DESCRIPTION:0000Days00Hrs00Min00SecThe webinar starts at 7:00 PDT\, 10:00 EDT\, 15:00 BST \nLearn how unbiased high-dimensional analysis can be seamlessly combined with AI-powered HALO workflows for multiplex images!\n\n\nSummary\n\n\n\n\nMultiplexed imaging generates rich datasets where extracting meaningful insights requires more than predefined gates.  \nIn this webinar\, we present a real-world use case analyzing tertiary lymphoid structures (TLS) in non-small cell lung cancer (NSCLC) using whole-slide multiplex immunofluorescence images acquired on the Orion™ platform (RareCyte). We demonstrate how standard HALO® workflows\, including AI-driven tissue classification and cell segmentation\, can be seamlessly combined with unbiased high-dimensional analysis\, all within the same software.  \nUsing K-means\, Phenograph\, and UMAP\, we explore phenotypic diversity within TLS from dense tumor regions and highly infiltrated zones. HALO® High Dimensional Analysis reveals biologically relevant differences between these zones beyond supervised phenotypes. Importantly\, the dynamic link between UMAP plots and the original tissue image provides biological meaning to clustering results and enables clear spatial validation.  \n\n\n\n\n\nLearning Objectives\n\n\n\n\n\nAssess sample cell composition “at a glance” using K-means and Phenograph. \nUse unsupervised analysis to quality control your analysis pipeline. \nNavigate interactively between the UMAP and biological image. \nApply an iterative\, data-driven strategy to identify and discover biologically relevant phenotypes. \n\n\n\n\nRegister Now\nPresenter\n\nDr. Ghislaine Lioux\nSenior Field Applications Scientist \nIndica Labs  \nDr. Ghislaine Lioux earned her PhD from the Spanish National Institute of Cardiovascular Research in Madrid as a Marie Curie Fellow\, where she studied molecular mechanisms of heart development. Ghislaine joined Indica Labs in 2020\, and in her current position as a Senior Field Applications Scientist she supports customers\, distributors\, and collaborators on the technical use of HALO software. 
URL:https://www.pathologynews.com/event/masterclass-unlock-cell-population-discovery-using-halo-high-dimensional-analysis/
LOCATION:Online
CATEGORIES:Live Online Webinar
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260305T130000
DTEND;TZID=UTC:20260305T140000
DTSTAMP:20260826T183306
CREATED:20260202T113505Z
LAST-MODIFIED:20260202T113505Z
UID:100118433-1772715600-1772719200@www.pathologynews.com
SUMMARY:Getting Started With HALO AI
DESCRIPTION:0000Days00Hrs00Min00SecThe webinar starts at 8:00 EST\, 13:00 GMT\, 14:00 CET \nLearn how to develop your own AI algorithms for segmentation\, classification\, and more using HALO AI\n\n\n\n\nSummary\n\n\n\n\nJoin us for an exciting webinar where you’ll embark on the journey of developing your own AI algorithms using HALO AI. This comprehensive session will guide you through creating and refining AI algorithms included with HALO AI\, providing invaluable tips\, tricks\, and best practices along the way.   \nWhether your focus is on tissue detection\, nuclear detection\, membrane detection\, object/cell phenotyping\, or slide quality control\, HALO AI has you covered. Additionally\, we will delve deeper into the capabilities of the AI Object Phenotyper\, an advanced tool designed to classify cells without the requirement for biomarker positivity.  \nDon’t miss this opportunity to enhance your AI skills and leverage the powerful features of HALO AI. We look forward to seeing you there!  \n\n\n\n\n\n\n\nLearning Objectives\n\n\n\n\n\nUnderstand the process of creating and training an algorithm using HALO AI \nLearn best practices for developing and training algorithms \nLearn about the capabilities and applications of AI-based object phenotyping\n\n\n\n\nRegister Now\nPresenter\n\nPedro Espinosa GonzalezSenior Field Applications Scientist – EMEA Indica Labs  \nPedro has a background in histology\, having worked in core facilities\, diagnostics units\, and research. During this time\, he specialized in cardiovascular\, neurological and oncological histology and developed an interest in image acquisition and image analysis giving him the opportunity to try different methods\, from WSI and confocal to super-resolution imaging and analysis. Pedro joined Indica Labs in 2022\, and in his current position as a Senior Field Applications Scientist provides applications support for HALO®\, HALO AI and HALO Link. 
URL:https://www.pathologynews.com/event/getting-started-with-halo-ai/
LOCATION:Online
CATEGORIES:Live Online Webinar
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260303T140000
DTEND;TZID=UTC:20260303T150000
DTSTAMP:20260826T183306
CREATED:20260220T113919Z
LAST-MODIFIED:20260225T133754Z
UID:100118825-1772546400-1772550000@www.pathologynews.com
SUMMARY:Analysis of computational tumor-infiltrating lymphocytes in breast cancer from the results of the TIGER challenge
DESCRIPTION:0000Days00Hrs00Min00SecThe Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions. \nThis seminar features Mart van Rijthoven\, Radboud UMC\, Nijmegen\, The Netherlands. \nAbstract\nTumor-infiltrating lymphocytes (TILs) is a recognized prognostic biomarker in breast cancer. However\, poor interobserver agreement and limited reproducibility highlight the need for computational approaches. Despite advances\, adoption of computational models has been hindered by lack of standardized methods and robust benchmarks. To address this\, we launched TIGER\, an international competition to build open-source computational TILs (cTILs) models. Here\, we present a multi-centric analysis of cTILs methods on resections and biopsies from 3\,708 human epidermal growth factor receptor 2-positive (HER2+) and triple-negative breast cancers (TNBC) from clinical practice and phase 3 trials. We report benchmarks on image analysis performance\, show strong agreement of cTILs with pathologists\, and demonstrate positive association of cTILs with neoadjuvant therapy response in HER2+\, superior to visually scored TILs. We also show that cTILs add independent prognostic information to clinical variables in TNBC resections. Data\, methods and benchmarks are publicly available: https://tiger.grand-challenge.org/ \nRegister NowBio\nMart van Rijthoven did his PhD work in the Computational Pathology Group at Radboud University Medical Center\, focusing on deep learning for biomarker quantification in whole-slide images. His work includes the HookNet model\, quantification of tertiary lymphoid structures\, and few-shot learning for histopathology. He also developed the WholeSlideData package and co-organized the TIGER challenge.
URL:https://www.pathologynews.com/event/analysis-of-computational-tumor-infiltrating-lymphocytes-in-breast-cancer-from-the-results-of-the-tiger-challenge/
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260224T080000
DTEND;TZID=UTC:20260224T090000
DTSTAMP:20260826T183306
CREATED:20260217T101432Z
LAST-MODIFIED:20260217T101432Z
UID:100118779-1771920000-1771923600@www.pathologynews.com
SUMMARY:Modernizing Pathology: Beyond Digital Pathology to Digital Health
DESCRIPTION:0000Days00Hrs00Min00SecJoin Virasoft at a time that suits you\, the webinar will be delivered at the following times: \n\nFeb 24 · 11:00 am (UTC+3)\, 8am GMT\, 3am EST\nFeb 24 · 3:00 pm (UTC+3)\, 12pm GMT\, 7am EST \nFeb 25 · 7:00 pm (UTC+3)\, 4pm GMT\, 11am EST\n\nThis webinar focuses on the challenges of traditional pathology workflows and the opportunities for scalable\, data-driven transformation. Learn how disconnected systems and paper-based processes — how a fully integrated digital pathology workflow can overcome these barriers. \nWhat you will learn:\n\nWhy pathology is a major opportunity for scalable digital transformation in healthcare\nHow paper-based workflows limit efficiency and traceability\nHow Virasoft unifies APLIS\, IMS\, AI\, and devices into one intelligent system\nEnd-to-end digital pathology from biopsy to report\nAutomatic AI trigger\, case prioritization\, and workflow orchestration\nHow centralized data enables business intelligence and smarter decisions\n\nWho should attend?\n\nPathologists and assistants\nLaboratory managers\nHospital IT teams\nHealthcare decision-makers\n\nRegister NowPresenters:\nÇisem Yazıcı\, Msc\nProduct Manager\, Virasoft \nBioengineer (MSc) with 8+ years in Digital Pathology\nLeads APLIS product vision\, design\, and international projects. \nGizem Solmaz\, Msc\nProduct Manager\, Virasoft\nBioengineer (MSc) with 7+ years in Digital Pathology\nLeads IMS & AI product design and international projects.
URL:https://www.pathologynews.com/event/modernizing-pathology-beyond-digital-pathology-to-digital-health/
LOCATION:Online
CATEGORIES:Live Online Webinar
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