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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251210T163000
DTEND;TZID=Europe/London:20251210T173000
DTSTAMP:20260827T041906
CREATED:20251126T143234Z
LAST-MODIFIED:20251126T143234Z
UID:100117131-1765384200-1765387800@www.pathologynews.com
SUMMARY:Beyond the Image: Powering the Future of Life Sciences Research with Concentriq LS
DESCRIPTION:0000Days00Hrs00Min00SecJoin Proscia as they demo the latest Concentriq LS releases\, which are designed to help research teams analyze faster\, collaborate smarter\, and stay ready for the future of image-based discovery.\nThe latest Concentriq AP releases of v4.9 in June and v4.10 in September are focused on more than just new features. They are about providing the strategic foundation that every Anatomic Pathology lab needs to succeed in a digital world: \nEnterprise-Ready Scale & Security: See how multi-LIS support\, improved user-defined fields (UDFs)\, and self-service tools like in-app API key management enable flexible\, secure growth across sites. \nAgnostic Interoperability: Discover how expanded fluorescence imaging compatibility\, enhanced image lifecycle management\, and new AI integrations empower your lab to connect all scanners\, images\, and AI tools no matter the vendor. \nPathologist-Centric Workflow Optimization: View how navigation updates bring digital pathology even closer to the microscope\, from ergonomic and inverted panning to customizable zoom and review preferences. \nWhether you’re a multi-site health system or a private lab accelerating your digital transformation\, this live session will show how Concentriq AP’s latest releases deliver the interoperability\, scalability\, and usability needed to unlock new levels of performance and productivity. \nWant a sneak peek into the latest AP updates? Read our recent blog: Multi-Site LIS\, FL Images & More: Standout Updates in the Latest Concentriq AP Releases \nRegister NowPresenters\nAnisha Mohan\nProduct Manager\, Life Sciences\n\nRitida Nanda\nSenior Product Marketing Manager\, Life Sciences
URL:https://www.pathologynews.com/event/beyond-the-image-powering-the-future-of-life-sciences-research-with-concentriq-ls/
LOCATION:Online
CATEGORIES:Live Online Webinar
ATTACH;FMTTYPE=image/jpeg:https://www.pathologynews.com/wp-content/uploads/2025/11/Beyond-the-Image-Powering-the-Future-of-Life-Sciences-Research-with-Concentriq-LS-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251209T163000
DTEND;TZID=Europe/London:20251209T173000
DTSTAMP:20260827T041906
CREATED:20251125T120357Z
LAST-MODIFIED:20251125T120357Z
UID:100117077-1765297800-1765301400@www.pathologynews.com
SUMMARY:Scaling Smarter: Future-Proofing Pathology with Concentriq AP
DESCRIPTION:0000Days00Hrs00Min00SecJoin Proscia as they demo the latest Concentriq AP releases\, which are designed to help pathology teams scale securely\, work smarter\, and stay ready for the future of digital pathology.\nThe latest Concentriq AP releases of v4.9 in June and v4.10 in September are focused on more than just new features. They are about providing the strategic foundation that every Anatomic Pathology lab needs to succeed in a digital world: \nEnterprise-Ready Scale & Security: See how multi-LIS support\, improved user-defined fields (UDFs)\, and self-service tools like in-app API key management enable flexible\, secure growth across sites. \nAgnostic Interoperability: Discover how expanded fluorescence imaging compatibility\, enhanced image lifecycle management\, and new AI integrations empower your lab to connect all scanners\, images\, and AI tools no matter the vendor. \nPathologist-Centric Workflow Optimization: View how navigation updates bring digital pathology even closer to the microscope\, from ergonomic and inverted panning to customizable zoom and review preferences. \nWhether you’re a multi-site health system or a private lab accelerating your digital transformation\, this live session will show how Concentriq AP’s latest releases deliver the interoperability\, scalability\, and usability needed to unlock new levels of performance and productivity. \nWant a sneak peek into the latest AP updates? Read our recent blog: Multi-Site LIS\, FL Images & More: Standout Updates in the Latest Concentriq AP Releases \nRegister NowPresenter\nAmanda Coble\nSenior Director of Product
URL:https://www.pathologynews.com/event/scaling-smarter-future-proofing-pathology-with-concentriq-ap/
LOCATION:Online
CATEGORIES:Live Online Webinar
ATTACH;FMTTYPE=image/jpeg:https://www.pathologynews.com/wp-content/uploads/2025/11/Scaling-Smarter-Future-Proofing-Pathology-with-Concentriq-AP.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251208T140000
DTEND;TZID=Europe/London:20251208T150000
DTSTAMP:20260827T041906
CREATED:20251126T120420Z
LAST-MODIFIED:20251126T120420Z
UID:100117143-1765202400-1765206000@www.pathologynews.com
SUMMARY:The DIAGGRAFT project - Developing AI for kidney transplant diagnostics
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 Linda Studer from Radboud UMC\, Nijmegen\, The Netherlands. \nAbstract\nGiven the significant increase in kidney transplantations\, maximizing long-term transplant survival is even more important. While histopathologic assessment of biopsies remains the diagnostic gold standard\, the current diagnostic classification system (Banff Lesion Scores) possesses considerable observer variability\, is mostly qualitative\, and lacks granularity in key areas\, therefore challenging biopsy assessment. To address these limitations\, the DIAGGRAFT project aims to develop and clinically validate deep learning-based tools for renal transplant histopathology. The first step of the project was the development of tissue segmentation algorithms for the key renal compartments. The second step focused on automating the objective quantification of inflammatory cells necessary for reproducible Banff scoring\, for which we launched the MONKEY (Machine-learning for Optimal detection of iNflammatory cells in the KidnEY) computational challenge. Currently\, we are running a validation study with over 40 pathologists to assess the clinical utility\, efficiency\, and integration readiness of these algorithms. \nRegister NowBio\nLinda Studer holds a PhD in Computer Science from the University of Fribourg\, Switzerland\, and has an academic background in life sciences. Her PhD mainly focused on the use of Graph Neural Networks for colorectal cancer histopathology. Currently\, she is a Postdoctoral Researcher within the Computational Pathology Group (CPG) at Radboudumc. She is working on the DIAGGRAFT project\, which focuses on developing AI solutions for kidney transplant diagnostics. As part of this project\, she led the MONKEY computational challenge (a MIDL 2025 challenge)\, which focused on the detection and classification of inflammatory cells in PAS-stained kidney transplant biopsies. She was also an organizer for the COMPAYL workshop at MICCAI 2024 and 2025.
URL:https://www.pathologynews.com/event/the-diaggraft-project-developing-ai-for-kidney-transplant-diagnostics/
LOCATION:Online
CATEGORIES:Live Online Webinar
ATTACH;FMTTYPE=image/png:https://www.pathologynews.com/wp-content/uploads/2025/11/TIA-Centre-Seminar-Series-–-The-DIAGGRAFT-project-Developing-AI-for-kidney-transplant-diagnostics.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251126T140000
DTEND;TZID=Europe/London:20251126T150000
DTSTAMP:20260827T041906
CREATED:20251112T171912Z
LAST-MODIFIED:20251112T171912Z
UID:100116779-1764165600-1764169200@www.pathologynews.com
SUMMARY:Optimizing the pathology workflow with Aiforia® Breast Cancer Suite
DESCRIPTION:Join Aiforia to learn how AI technology can enhance precision\, speed\, and diagnostic accuracy in breast cancer diagnostics. \nPathologist and Aiforia’s Medical Director\, Richard Doughty\, will discuss his experiences working with breast cancer tissue samples in routine diagnostics. He will showcase a typical BC workflow with and without AI and explain how Aiforia’s AI seamlessly integrates to enhance every step\, from sample analysis to diagnosis. \nAiforia®️ Breast Cancer Suite is the most comprehensive AI toolkit for breast cancer diagnostics\, supporting the entire diagnostic workflow. It consists of six CE-IVD marked AI solutions with an optimized interactive user interface that assists pathologists in the histological grading of breast cancer\, assessment of breast cancer IHC markers\, and the detection of lymph node metastasis. The user can review\, verify\, and modify results\, ensuring the highest quality of output. \nWho should join?\n\nPathologists involved in the routine diagnostic workflow for breast cancer\nOncologists and other clinicians who rely on accurate and timely breast cancer diagnostics for treatment planning\nLaboratory directors and administrators interested in implementing AI-powered digital pathology tools to improve efficiency and precision\nAnyone involved in breast cancer diagnostics who wants to learn about the practical application of AI in histological grading\, IHC marker assessment\, and metastasis detection\n\nRegister NowSpeakers\nRichard Doughty\, DVM\, MD\, MSc\nMedical Director at Aiforia Technologies \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\nRute Pedrosa\, PhD\nSenior Field Application Scientist\, Aiforia Technologies \n\nHas worked at Aiforia for 2.5 years\nPhD at Erasmus University Rotterdam\, focusing on the pathogenesis of brain metastatic disease
URL:https://www.pathologynews.com/event/optimizing-the-pathology-workflow-with-aiforia-breast-cancer-suite/
LOCATION:Online
CATEGORIES:Live Online Webinar
ATTACH;FMTTYPE=image/jpeg:https://www.pathologynews.com/wp-content/uploads/2025/11/Optimizing-the-pathology-workflow-with-Aiforia®-Breast-Cancer-Suite.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251121T110000
DTEND;TZID=Europe/London:20251121T120000
DTSTAMP:20260827T041906
CREATED:20251103T163125Z
LAST-MODIFIED:20251103T163125Z
UID:100116619-1763722800-1763726400@www.pathologynews.com
SUMMARY:TIA Centre Seminar Series - Pathology knowledge-guided AI models in computational pathology
DESCRIPTION:The 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 Professor Jin Tae Kwak from Korea University\, Seoul\, South Korea. \nAbstract\nComputational pathology is undergoing a profound transformation driven large-scale artificial intelligence (AI)\, particularly the seamless integration of multiple data modalities through multimodal large language models (MLLMs). In this talk\, I will present our group’s recent efforts in developing knowledge-guided computational pathology tools that utilize vision-language models for various diagnostic tasks. I will discuss how vision-language models\, combined with expert knowledge\, can aid in analyzing complex tissue patterns\, enhancing interpretability\, and achieving accurate and reliable diagnostic performance. \nRegister NowBio\nJin Tae Kwak received his Ph.D. in Computer Science from University of Illinois at Urbana-Champaign\, USA in 2012. He earned his Masters of Science degree in Electrical and Computer Engineering from Purdue University\, USA in 2007 and his Bachelor of Engineering degree in Electrical Engineering from Korea University\, Korea in 2005. In 2012\, He joined Center for Interventional Oncology\, Clinical Center\, National Institutes of Health\, USA as a Research Fellow. He served as a tenure-track faculty member in the department of Computer Science and Engineering at Sejong University from March 2016 to August 2020. He joined School of Electrical Engineering at Korea University in September 2020. His research interests include multimodal medical imaging\, digital and computational pathology\, and large-scale and efficient AI systems for medicine
URL:https://www.pathologynews.com/event/tia-centre-seminar-series-pathology-knowledge-guided-ai-models-in-computational-pathology/
LOCATION:Online
CATEGORIES:Live Online Webinar
ATTACH;FMTTYPE=image/png:https://www.pathologynews.com/wp-content/uploads/2025/11/TIA-Centre-Seminar-Series-–-Pathology-knowledge-guided-AI-models-in-computational-pathology.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251117T140000
DTEND;TZID=Europe/London:20251117T150000
DTSTAMP:20260827T041906
CREATED:20251111T142519Z
LAST-MODIFIED:20251111T142519Z
UID:100116750-1763388000-1763391600@www.pathologynews.com
SUMMARY:TIA Centre Seminar Series – Too Many Models\, Too Few Benchmarks: Addressing the benchmarking crisis in AI for pathology
DESCRIPTION:The 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 Professor Jana Lipkova from the University of California\, Irvine\, USA. \nAbstract\nThe field of AI in pathology is experiencing a benchmarking crisis. New models emerge weekly\, each claiming superiority over predecessors\, yet the community lacks rigorous\, reproducible tools to validate these claims. In this talk\, I will present two open benchmarks from our group to address this gap. The first benchmark systematically evaluates state-of-the-art pathology foundation models (FMs) for survival prediction in oncology. We assess model generalization across multiple external cohorts\, compare architectural paradigms (patch- vs. slide-level\, uni- vs. multimodal)\, probe model interpretability and investigate weather FM allow to build pan-cancer generalists model that replace disease-specific models and generalize to rare cancers and conditions not seen during the model training? The second benchmark introduces a framework for safe AI deployment in pathology\, focusing on out-of-distribution (OOD) detection and model “guardrails.” We propose a new taxonomy for OOD scenarios in pathology and a public benchmark that stress-tests existing OOD models across diverse data shifts and real-world variability. Both benchmarks\, including all datasets\, standardized splits\, and evaluation protocols\, are publicly released to serve as standards for model evaluation and comparison\, thereby accelerate further advances and deployment of AI in pathology. \nRegister NowBio\nJana is an Assistant Professor at the University of California\, Irvine\, with joint appointments in the School of Medicine\, School of Biomedical Engineering\, and the School of Computer Science. She completed her postdoctoral fellowship in the AI for Pathology group at Harvard Medical School\, under the mentorship of Dr. Faisal Mahmood. Prior to that\, she earned her Ph.D. in computer-aided medical procedures from the Department of Radiology at the Technical University of Munich. Jana leads the OctoPath Lab (http://octopath.org/)\, which develops AI methods for diagnosis\, prognosis\, and treatment optimization in histopathology and beyond.
URL:https://www.pathologynews.com/event/tia-centre-seminar-series-too-many-models-too-few-benchmarks-addressing-the-benchmarking-crisis-in-ai-for-pathology/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251110T140000
DTEND;TZID=Europe/London:20251110T150000
DTSTAMP:20260827T041906
CREATED:20251029T090353Z
LAST-MODIFIED:20251029T090353Z
UID:100116469-1762783200-1762786800@www.pathologynews.com
SUMMARY:TIA Centre Seminar Series - Scaling Multiplexed Protein Imaging Analysis for Subcellular-resolution Pathology
DESCRIPTION:The 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 Malte Kuehl from Aarhus University\, Denmark. \nAbstract\nProteins and their spatial distribution constitute the functional foundation of biology\, offering critical insights into health and disease. However\, probing pathological tissues at subcellular resolution remains challenging\, from experimental design through image acquisition to computational analysis. I will present our recent work on Pathology-oriented multiPlexing (PathoPlex) published in Nature\, which introduces key innovations spanning quality control\, experimental design\, and image acquisition\, alongside spatiomic\, a novel software library that accelerates spatial proteomics analysis at the pixel level and beyond. Finally\, I will discuss how these developments\, combined with advances in spatial statistics\, agentic AI\, and collaborative community efforts in open-source software\, offer potential pathways for addressing remaining challenges in spatial proteomics. \nRegister NowBio\nMalte Kuehl studied medicine at the University of Hamburg\, where he joined the Institute of Medical Systems Biology and the III. Medical Department to begin his Doctor of Medicine degree. In 2023\, he joined the Complex Tissue Lab at Aarhus University\, led by Prof. Puelles\, as a postdoc. His primary research interests include spatial omics\, image analysis\, and agentic AI.
URL:https://www.pathologynews.com/event/tia-centre-seminar-series-scaling-multiplexed-protein-imaging-analysis-for-subcellular-resolution-pathology/
LOCATION:Online
CATEGORIES:Live Online Webinar
ATTACH;FMTTYPE=image/png:https://www.pathologynews.com/wp-content/uploads/2025/10/TIA-Centre-Seminar-Series-–-Scaling-Multiplexed-Protein-Imaging-Analysis-for-Subcellular-resolution-Pathology.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251028T153000
DTEND;TZID=UTC:20251028T163000
DTSTAMP:20260827T041906
CREATED:20250912T085339Z
LAST-MODIFIED:20250912T085339Z
UID:100115449-1761665400-1761669000@www.pathologynews.com
SUMMARY:ACCESS25 - The Future of Precision Medicine Starts at the Moment of Diagnosis
DESCRIPTION:0000Days00Hrs00Min00SecJoin Access25 on October 28 to discover how Proscia is removing one of the biggest barriers to realizing precision medicine — access to the right patients\, at the right moment\, with the right data. \nWith the launch of Proscia Aperture™\, biopharma leaders will discover how to automatically identify trial and treatment candidates at the moment of diagnosis—accelerating recruitment and advancing novel therapies. \nClinical lab leaders will learn how Aperture elevates the lab’s strategic role in the precision medicine ecosystem while creating new revenue streams. \nAnd for everyone attending\, the Partner Expo will feature breakthroughs in pathology AI\, next-generation infrastructure\, and enterprise solutions—delivered by the strongest ecosystem in the industry. \nRegister Now
URL:https://www.pathologynews.com/event/access25-the-future-of-precision-medicine-starts-at-the-moment-of-diagnosis/
LOCATION:Online
CATEGORIES:Live Online Webinar
ATTACH;FMTTYPE=image/jpeg:https://www.pathologynews.com/wp-content/uploads/2025/09/The-Future-of-Precision-Medicine-Starts-at-the-Moment-of-Diagnosis.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251027T140000
DTEND;TZID=Europe/London:20251027T150000
DTSTAMP:20260827T041906
CREATED:20251014T133819Z
LAST-MODIFIED:20251014T133819Z
UID:100116188-1761573600-1761577200@www.pathologynews.com
SUMMARY:TIA Centre Seminar Series - Conformal Quantification of Predictive Uncertainty in Health AI
DESCRIPTION:The 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 Tapabrata (Rohan) Chakraborty from UCL\, London\, UK. \nAbstract\nFor AI to be trusted for use in high risk applications like healthcare\, it is important to ensure (AI Assurance) that the predictive uncertainty is within guaranteed bounds which can be achieved through conformal prediction based calibration at user defined level of significance. \nRegister NowBio\nRohan is a Theme/Group Lead in Frontier AI Assurance at the Alan Turing Institute and a Principal Research Fellow at UCL Cancer Institute. He leads TRAIL\, the Transparent and Responsible AI Lab shared between UCL/Turing. Rohan is an invited expert in Responsible AI with the Global Partnership on AI and an Editor with Springer Nature Computer Science. Rohan has a PhD in Computer Science and worked as a postdoctoral researcher at the University of Oxford where he continues to an Honorary Fellow of Linacre College and a Lecturer in Computer Science with Christ Church College.
URL:https://www.pathologynews.com/event/tia-centre-seminar-series-conformal-quantification-of-predictive-uncertainty-in-health-ai/
LOCATION:Online
CATEGORIES:Live Online Webinar
ATTACH;FMTTYPE=image/png:https://www.pathologynews.com/wp-content/uploads/2025/10/TIA-Centre-Seminar-Series-Conformal-Quantification-of-Predictive-Uncertainty-in-Health-AI.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251023T160000
DTEND;TZID=Europe/London:20251023T170000
DTSTAMP:20260827T041906
CREATED:20251019T084830Z
LAST-MODIFIED:20251019T084830Z
UID:100116283-1761235200-1761238800@www.pathologynews.com
SUMMARY:AISight Dx Digital Pathology Platform: Live Deep Dive
DESCRIPTION:0000Days00Hrs00Min00SecJoin PathAI to learn how AISight Dx supports modern pathology workflows at enterprise scale. \nIn this webinar\, PathAI will show how AISight® Dx supports modern digital pathology workflows at scale\, including seamless slide management\, flexible collaboration\, and interoperability across a broad range of whole-slide imaging scanners\, and will explain what PCCP means for ongoing updates and customer value. \nYou’ll also see a live demonstration with case-based examples covering slide navigation\, AISight Live for synchronous and asynchronous collaboration\, annotation tools\, and the caselist dashboard. \nWhat you’ll learn\n\nWhat FDA 510(k) clearance with a PCCP means in practice for AISight Dx and your roadmap\nHow pathologists and lab leaders can standardize workflows\, collaborate across teams\, and stay ready for future feature updates enabled under the PCCP\nLive demo: lightning-fast slide navigation and manipulation\, measurements and annotations\, real-time and asynchronous collaboration with AISight Live\, case list triage\, search\, filters\, and workflow handoffs\n\nRegister Now
URL:https://www.pathologynews.com/event/aisight-dx-digital-pathology-platform-live-deep-dive/
LOCATION:Online
CATEGORIES:Live Online Webinar
ATTACH;FMTTYPE=image/jpeg:https://www.pathologynews.com/wp-content/uploads/2025/10/AISight-Dx-Digital-Pathology-Platform-Live-Deep-Dive.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251021T160000
DTEND;TZID=Europe/London:20251021T170000
DTSTAMP:20260827T041906
CREATED:20250827T154822Z
LAST-MODIFIED:20250827T154822Z
UID:100115293-1761062400-1761066000@www.pathologynews.com
SUMMARY:Multi-Omics Analysis Demonstrates Repetitive Head Impacts Induce Neuronal Loss and Neuroinflammation in Young Athletes
DESCRIPTION:0000Days00Hrs00Min00SecLearn how HALO image analysis is helping to advance the understanding of chronic traumatic encephalopathy!\nSummaryRepetitive head impacts (RHI) sustained from contact sports are the largest risk factor for chronic traumatic encephalopathy (CTE). Currently\, CTE can only be diagnosed after death and the multicellular cascade of events that trigger initial hyperphosphorylated tau (p-tau) deposition remain unclear. Further\, the symptoms endorsed by young individuals with early disease are not fully explained by the extent of p-tau deposition\, severely hampering development of therapeutic interventions. Using genomics\, spatial transcriptomics\, and histology it was observed that RHI exposure associates with a multicellular response in young individuals (<51 years old) prior to the onset of CTE p-tau pathology that correlates with number of years of RHI exposure. SPP1+ inflammatory microglia\, angiogenic and inflamed endothelial cell profiles\, reactive astrocytes\, and altered synaptic gene expression in excitatory and inhibitory neurons were identified in all individuals with exposure to RHI. Surprisingly\, elevation in collagen deposition around blood vessels that might be related to long term disease outcomes was also observed. Overall\, these results provide robust evidence that multiple years of RHI exposure is sufficient to induce lasting cellular alterations that may underlie p-tau deposition and help explain the early pathogenesis in young former contact sport athletes. \nLearning Objectives\nUnderstand how HALO image analysis can assist in characterizing pathology in neurodegenerative diseases \nUnderstand how HALO AI can be used to identify unique cell populations with complex\, varied shapes \nExplore how genomic data can be validated using histologic images analysis\n\nRegister NowPresenterJonathan Cherry\, PhD \nResearch Health Scientist \nVA Boston Healthcare System \nDirector\, Digital Pathology Core & Research Neuropathologist \nBoston University Alzheimer’s Disease Research Center and Boston University Chronic Traumatic Encephalopathy Center \nAssistant Professor of Pathology and Laboratory Medicine\nBoston University Avedisian & Chobanian School of Medicine \nDr. Cherry is an Assistant Professor of Pathology and Laboratory Medicine. He completed his undergraduate studies with a BS in biology at Ursinus College in 2008\, earned his doctoral degree in Pathology from the University of Rochester in 2015\, and joined the McKee laboratory as a postdoctoral researcher the same year. He was appointed as an assistant professor at Boston University School of Medicine in 2019. Dr. Cherry also holds a research health scientist position within the VA Boston Healthcare System. His laboratory space is located at the Jamaica Plain VA hospital where he performs his research and helps support the UNITE brain bank.  \nDr. Cherry’s research interests focus on understanding how neuroinflammation after repetitive traumatic brain injury contributes to CTE pathogenesis. Specifically\, Dr. Cherry seeks to identify what role microglia and inflammatory cytokines play in the early onset of hyperphosphorylated tau accumulation and spread.  \nDr. Cherry’s research also extends to histology analysis and machine learning. He is the director of the BU digital pathology core. This research entails exploring novel ways to analyze human postmortem tissue using machine learning algorithms for neuropathologic targets and better characterize pathology across a spectrum of neurodegenerative diseases including Alzheimer’s disease\, chronic traumatic encephalopathy\, frontotemporal lobar degeneration\, motor neuron diseases\, and others. 
URL:https://www.pathologynews.com/event/multi-omics-analysis-demonstrates-repetitive-head-impacts-induce-neuronal-loss-and-neuroinflammation-in-young-athletes/
LOCATION:Online
CATEGORIES:Live Online Webinar
ATTACH;FMTTYPE=image/jpeg:https://www.pathologynews.com/wp-content/uploads/2025/08/Multi-Omics-Analysis-Demonstrates-Repetitive-Head-Impacts-Induce-Neuronal-Loss-and-Neuroinflammation-in-Young-Athletes.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251016T160000
DTEND;TZID=Europe/London:20251016T170000
DTSTAMP:20260827T041906
CREATED:20250827T151754Z
LAST-MODIFIED:20250827T152303Z
UID:100115278-1760630400-1760634000@www.pathologynews.com
SUMMARY:Masterclass Webinar: Admin and Metadata Options in HALO Link
DESCRIPTION:0000Days00Hrs00Min00SecLearn how to maximize the efficiency\, customization\, and data management capabilities of your HALO Link deployments!\nSummaryJoin Indica Labs for this Masterclass Webinar designed for system administrators who want to maximize the efficiency\, customization\, and data management capabilities of their HALO Link deployments. This session will provide an in-depth review of the Admin Dashboard\, highlighting tools for managing users\, groups\, and permissions\, and explore the new Diagnostics Monitor tool for troubleshooting image viewing performance bottlenecks.  \n\nThe webinar will also dive into metadata management\, including how to create custom fields that support better data organization. Whether supporting a large research team or managing multi-site deployments\, this session will equip administrators with practical strategies to tailor HALO Link to their needs\, reduce administrative burden\, and empower users to work more efficiently. \n\nLearning Objectives\nLearn about all the functionality in the current Admin Dashboard in HALO Link \nLearn how the new opt-in Diagnostics Monitor feature (available in HALO Link 4.2) provides information for troubleshooting performance bottlenecks with image viewing \nLearn about tools to manage users\, permissions\, and user groups \nLearn about creating and managing system metadata fields  \n\nRegister NowPresentKat Latimer\nHALO Link Associate Product Manager\nIndica Labs  \nKat Latimer earned a ME in Biomedical Engineering from Colorado State University in 2025 and BS in Biochemistry from the University of New Mexico in 2018. Her graduate studies focused on tissue engineering and the use of biomaterials for wound healing. During her undergraduate studies\, Kat participated in several research opportunities including investigating the role of cellular adhesion proteins in HPV oncogene expression.  In 2020 she joined Indica Labs as a Software Quality Assurance Analyst. In 2021 she transitioned to the Product Management team and has since been promoted to the HALO Link Associate Product Manager role where she works closely with the software developers creating new features to improve the user experience. 
URL:https://www.pathologynews.com/event/masterclass-webinar-admin-and-metadata-options-in-halo-link/
LOCATION:Online
CATEGORIES:Live Online Webinar
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251013T140000
DTEND;TZID=Europe/London:20251013T150000
DTSTAMP:20260827T041906
CREATED:20250929T163601Z
LAST-MODIFIED:20251003T080807Z
UID:100115844-1760364000-1760367600@www.pathologynews.com
SUMMARY:TIA Centre Seminar Series - Towards Multimodal AI for Personalized Cancer Treatment
DESCRIPTION:The 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. \nThe next seminar will take place on Monday\, 13 October\, from 2–3 p.m. UK time. The Centre is delighted to announce that the session will feature Dr. Nadieh Khalili from Radboud UMC\, The Netherlands\, who will be joining online. \nAbstract\nThe integration of diverse data types—such as histopathology\, radiology\, and omics—offers a powerful opportunity to develop AI models that improve cancer diagnosis and treatment selection. In this talk\, I will present recent efforts from our group in developing and validating multimodal deep learning frameworks that predict treatment-relevant biomarkers directly from routine diagnostic images. I will highlight case studies in bladder and prostate cancer and discuss challenges related to data harmonization\, model generalization\, and clinical translation. \nRegister NowBio\nDr Nadieh Khalili is an Assistant Professor in AI at Radboud UMC\, where she leads research at the intersection of deep learning\, digital pathology\, and multi-modal data integration. Her work focuses on developing clinically meaningful AI tools for cancer diagnosis and treatment response prediction. She has a background in biomedical engineering and previously worked in R&D roles in industry. Dr Khalili is also actively involved in organizing scientific events and is a board member of the European Society of Digital Pathology.
URL:https://www.pathologynews.com/event/tia-centre-seminar-series-towards-multimodal-ai-for-personalized-cancer-treatment/
LOCATION:Online
CATEGORIES:Live Online Webinar
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250929T140000
DTEND;TZID=Europe/London:20250929T150000
DTSTAMP:20260827T041906
CREATED:20250827T141747Z
LAST-MODIFIED:20250829T120221Z
UID:100115260-1759154400-1759158000@www.pathologynews.com
SUMMARY:Evaluation of HER2-Low and Ultralow Status of Advanced Breast Carcinomas
DESCRIPTION:0000Days00Hrs00Min00SecJoin this webinar to discover how digital pathology with AI evaluation is a more sensitive method for HER2-low assessment. Dr. Anikó Kovács (Department of Clinical Pathology\, Sahlgrenska University Hospital\, Gothenburg\, Sweden) will present findings from a retrospective study on the HER2-low status of advanced breast carcinomas in core biopsies. \nThe aim of the study was to: \n\ncompare the outcome of HER2 scoring using conventional microscopy\, digital pathology\, and AI.\nassess changes in HER2-low status in core biopsies\, matching operation specimens\, and their distant metastases.\n\nRegister for the webinar to learn more about the findings and how AI can help determine a more accurate HER2-low status\, providing an exact percentage of each HER2 score within seconds with high accuracy. \nWho should join?\n\nPathologists involved in biomarker testing\nOncologists relying on HER2-low status in treatment decisions\nAnyone involved in breast cancer diagnostics or therapeutic decision-making\nAnyone interested in using or developing AI models for image analysis in digital pathology\n\nRegister NowSpeakersAnikó Kovács\, MD\, PhD\nAssociate Professor\, Pathologist\, and Lecturer\nSahlgrenska University Hospital \n\nHas worked in research in Sweden for the past 23 years\nBreast cancer research at the Leicester University in the UK\nResearch background also in Japan (Kitasato University) and Hungary\n\nRute Pedrosa\, PhD\nSenior Field Application Scientist\nAiforia Technologies \n\nHas worked at Aiforia for 2.5 years\nPhD at Erasmus University Rotterdam\, focusing on the pathogenesis of brain metastatic disease
URL:https://www.pathologynews.com/event/evaluation-of-her2-low-and-ultralow-status-of-advanced-breast-carcinomas/
LOCATION:Online
CATEGORIES:Live Online Webinar
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250918T160000
DTEND;TZID=Europe/London:20250918T170000
DTSTAMP:20260827T041906
CREATED:20250827T150458Z
LAST-MODIFIED:20250827T152522Z
UID:100115270-1758211200-1758214800@www.pathologynews.com
SUMMARY:Intro to HALO®\, HALO AI\, and HALO Link 4.2
DESCRIPTION:0000Days00Hrs00Min00SecLearn about the exciting new features in the 4.2 versions of HALO\, HALO AI\, and HALO Link!\nSummaryIn this webinar\, Indica Labs will explore the new features and functionalities in HALO\, HALO AI\, and HALO Link 4.2 designed to enhance performance\, streamline workflows\, and expand analytical capabilities. In HALO 4.2\, new annotation tools such as a multi-select feature and improved annotation management\, including batch annotation import and rename\, boost efficiency. Also\, object data is moved out from the database into optimized parquet files\, significantly improving load times and overall system performance. \nHALO AI 4.2 offers channel-invariant pretrained models that streamline nuclear and cell segmentation by leveraging all fluorescent channels\, and multiple membrane markers can now be selected when further training the pretrained membrane segmentation model. Version 4.2 also brings an updated AI annotation tool that is smaller\, faster\, and optimized for pathology data\, delivering a smoother annotation experience. Users now have greater control over model training with adjustable hyperparameters\, including learning rates and class weights. \n\nIn version 4.2\, HALO Link now supports viewing Z-stacks on brightfield images. The latest version also introduces a Diagnostic Monitor add-on to help administrators troubleshoot performance issues with image loading. For those looking for additional ergonomics options\, integration with the 3D Connexion SpaceMouse is now available. Finally\, both HALO and HALO Link 4.2 support the use of third-party AI apps\, enabling models developed by users outside of HALO or by external vendors to be launched and viewed within the platforms. \n\nLearning Objectives\nLearn about third party AI Analysis support through API \nLearn about new annotation tools and object data storage in HALO \nLearn about streamlined nuclear and membrane segmentation using channel invariant pretrained models  \nLearn about using the 3D Connexion SpaceMouse for more ergonomic slide navigation in HALO Link \n\nRegister NowPresenterDr. 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 the 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/intro-to-halo-halo-ai-and-halo-link-4-2/
LOCATION:Online
CATEGORIES:Live Online Webinar
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250916T130000
DTEND;TZID=Europe/London:20250916T140000
DTSTAMP:20260827T041906
CREATED:20250827T133756Z
LAST-MODIFIED:20250827T152729Z
UID:100115251-1758027600-1758031200@www.pathologynews.com
SUMMARY:Can AI Predict Patient Outcomes in Ovarian Cancer?
DESCRIPTION:0000Days00Hrs00Min00SecExperimental image-based AI models are very good at extracting new information from standard H&E pathology slides. However\, the biological interpretation of these novel findings is a challenge. In this webinar\, Dr. Anna Laury\, Clinical Researcher at the University of Helsinki\, will explain how they used scanned H&E slides of high-grade serous carcinoma of the tube/ovary (HGSC) together with spatially resolved transcriptomics to explore whether AI findings actually represent biological differences in these tumors. \nHigh-grade serous carcinoma of the tube/ovary (HGSC) is characterized by aggressive behavior\, chemotherapy resistance\, and low 5-year survival\, but also exhibits striking variability in outcome. Our understanding of this disease is limited\, partly due to considerable tumor heterogeneity\, and predicting any individual patient’s response to therapy is challenging. \nDr. Laury’s team used Aiforia® Create to train an AI model to predict patient outcome in HGSC by identifying tumor regions that are highly associated with outcome status. The tumor regions identified by the AI model are currently indistinguishable by pathologists. They then used spatially resolved transcriptomics to profile these AI-identified tumor regions and identify molecular features related to disease outcome. \nRegister for the webinar to hear more about this proof-of-concept study\, which shows that AI-guided spatial transcriptomic analysis improves recognition of biologic features relevant to patient outcomes. \nRegister NowSpeakersAnna Laury\, MD\, PhD\nClinical Researcher\nUniversity of Helsinki \nDr. Laury is a clinical researcher at the University of Helsinki. She received her medical degree from the University of California\, Los Angeles and pathology training at Brigham & Women’s Hospital. Her clinical interests include women’s and perinatal pathology\, and her research is currently focused on the development and progression of tubo-ovarian serous carcinoma. \nDarshan Kumar\, PhD\nDirector of the Global FAS team\nAiforia Technologies \nDarshan Kumar has worked at Aiforia for over four years as a Customer Success Manager and Scientist. He currently leads the global team of Field Application Scientists. He did his PhD research in cell and molecular biology at the University of Helsinki and has a master’s in Biomedical Sciences from Leiden University.
URL:https://www.pathologynews.com/event/can-ai-predict-patient-outcomes-in-ovarian-cancer/
LOCATION:Online
CATEGORIES:Live Online Webinar
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DTSTART;TZID=UTC:20250715T100000
DTEND;TZID=UTC:20250715T110000
DTSTAMP:20260827T041906
CREATED:20250703T152203Z
LAST-MODIFIED:20250704T105216Z
UID:100114045-1752573600-1752577200@www.pathologynews.com
SUMMARY:EMEA Educational Xenium Webinar Series - Combine the power of single cell & spatial to make the impossible\, possible
DESCRIPTION:Part 1/3 – Panel DesignReveal new insights into cellular structure and function by enabling the mapping of 100s–5\,000s of RNA targets in fresh frozen and FFPE samples with true tissue context. Built on years of innovation in single cell and spatial technologies\, Xenium is a complete platform that streamlines going from tissue section to data\, with a state-of-the-art analyzer and a wide selection of curated panels and/or customization options. Xenium’s Onboard Analysis automatically processes data during a run allowing immediate interactive visualization with the powerful and intuitive Xenium Explorer. \nXenium offers best-in-class sensitivity\, specificity\, and highly confident transcript-to-cell assignments using multimodal cell segmentation. \nIn our three-part series\, each session will focus on an essential phase of a Xenium experiment\, guiding participants step by step through panel design\, workflow\, and data analysis. All sessions take place from July to October 2025. \nThe first webinar will focus on: \n\nOverview of technical concepts underlying Xenium\nThe design process using the Xenium Panel Designer (XPD)\nTips & tricks designing a new panel\n\nRegister NowSpeakerFallon Ratner\nApplied Bioinformatics Scientist\n10x Genomics
URL:https://www.pathologynews.com/event/emea-educational-xenium-webinar-series-combine-the-power-of-single-cell-spatial-to-make-the-impossible-possible/
LOCATION:Online
CATEGORIES:Live Online Webinar
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DTSTART;TZID=Europe/Paris:20250624T140000
DTEND;TZID=Europe/Paris:20250624T140000
DTSTAMP:20260827T041906
CREATED:20250616T133117Z
LAST-MODIFIED:20250616T133933Z
UID:100113578-1750773600-1750773600@www.pathologynews.com
SUMMARY:EMEA Educational Webinar - Deeper spatial discovery
DESCRIPTION:NEW! Visium HD 3’ assay\n10x Genomics is excited to introduce you to the newest member of the Visium HD family: the Visium HD 3’ assay\, which enables whole transcriptome spatial discovery with a 3’ poly(A) capture-based chemistry. See how the Visium HD 3′ assay makes the Visium platform a comprehensive spatial discovery solution\, compatible across any species or tissue condition and offering best-in-class data quality and join this upcoming webinar to see: \n\nComprehensive Workflow Overview: Follow the Visium HD 3’ assay from sample preparation through to data acquisition. Learn practical tips and best practices straight from the lab.\nHigh-Resolution Data Across Species: Explore stunning\, high-resolution spatial gene expression data from a variety of species\, including chicken\, zebrafish\, rat\, pig\, and more—see how Visium HD 3’ unlocks biological insights unlike any other approach.\nInteractive Technical Q&A: Bring your technical questions! Our experts will address challenges and discuss hands-on solutions for implementing Visium HD 3’ in your research.\n\nRegister NowSpeakersMonika Dabrowska \nField Application Scientist\n10x Genomics
URL:https://www.pathologynews.com/event/emea-educational-webinar-deeper-spatial-discovery/
LOCATION:Online
CATEGORIES:Live Online Webinar
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250619T160000
DTEND;TZID=Europe/London:20250619T170000
DTSTAMP:20260827T041906
CREATED:20250528T132919Z
LAST-MODIFIED:20250530T135341Z
UID:100113029-1750348800-1750352400@www.pathologynews.com
SUMMARY:Diagnexia Webinar Series - Introduction à la pathologie moléculaire (French)
DESCRIPTION:0000Days00Hrs00Min00SecJoin Diagnexia for a French-language webinar with Dr. Bettina Bisig\, offering an essential introduction to molecular pathology and its growing role in diagnosis and personalized medicine. \nThe French Webinar Series is an educational initiative designed specifically for French-speaking pathologists. Each session is conducted entirely in French and led by expert speakers covering essential topics in pathology\, with the aim of fostering learning\, professional development\, and knowledge exchange across the Francophone community. These free sessions offer a unique opportunity to learn from leading specialists\, participate in dynamic discussions\, and stay informed on key developments in the field. Webinars are open to pathologists across French-speaking countries and beyond. In our upcoming session\, we are pleased to welcome Dr. Bettina Bisig\, a recognized expert in molecular pathology with a strong background in diagnostic practice and pathology education. Her presentation will serve as an introduction to molecular pathology\, outlining fundamental principles\, clinical applications\, and the evolving role of molecular techniques in diagnosis and personalized medicine. Don’t miss this opportunity to explore the foundations of molecular pathology with one of the field’s most respected voices — en français. \nRegister Now
URL:https://www.pathologynews.com/event/diagnexia-webinar-series-introduction-a-la-pathologie-moleculaire-french/
LOCATION:Online
CATEGORIES:Live Online Webinar
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250611T180000
DTEND;TZID=Europe/London:20250611T180000
DTSTAMP:20260827T041906
CREATED:20250521T083916Z
LAST-MODIFIED:20250530T134915Z
UID:100112625-1749664800-1749664800@www.pathologynews.com
SUMMARY:Diagnexia Webinar Series -  Soft tissue and Bone (and other interesting cases)
DESCRIPTION:0000Days00Hrs00Min00SecJoin the Diagnexia Webinar Series \nStay informed with the latest insights and advancements in digital pathology\, led by experts from across the field. Explore key topics\, real-world applications\, and innovations shaping the future of diagnostics. \nJoin Dr. Kum Cooper for another engaging session of the Interactive Cooper Conference With Digital Slides\, where he will present and discuss fascinating soft tissue pathology cases. This highly interactive webinar will provide expert insights\, digital slide reviews\, and an opportunity for real-time learning. \nWhat to Expect:\n✅ High-impact case discussions in soft tissue pathology \n✅ Digital slides for interactive learning \n✅ Insights from one of the leading experts in pathology \nDon’t miss this opportunity to expand your diagnostic expertise! \nRegister Now
URL:https://www.pathologynews.com/event/diagnexia-webinar-series-soft-tissue-and-bone-and-other-interesting-cases/
LOCATION:Online
CATEGORIES:Live Online Webinar
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250605T160000
DTEND;TZID=Europe/London:20250605T170000
DTSTAMP:20260827T041906
CREATED:20250523T103240Z
LAST-MODIFIED:20250530T134739Z
UID:100112863-1749139200-1749142800@www.pathologynews.com
SUMMARY:Diagnexia Webinar Series -  Diagnostico Citológico de Neoplasias Infrecuentes en Derrames. Un escenario Cada Vez mas Común
DESCRIPTION:0000Days00Hrs00Min00SecUpcoming LATAM Webinar – Don’t Miss Out! \nJoin Diagnexia for a free educational session with Prof. Jimenez Heffernan José on: Cytologic Diagnosis in Effusions: Classic and New Concepts \nLearn how to approach effusion cytology with confidence — from foundational criteria to new diagnostic concepts. \nLa serie de seminarios web LATAM es una iniciativa educativa diseñada especialmente para patólogos de habla hispana. Cada sesión se imparte completamente en español y está dirigida por expertos que abordan temas clave en anatomía patológica\, con el objetivo de fomentar el aprendizaje\, el crecimiento profesional y el intercambio de conocimientos en la comunidad. Estas sesiones gratuitas ofrecen una oportunidad única para aprender de especialistas líderes\, participar en discusiones enriquecedoras y mantenerse al día con los avances más recientes en la disciplina. Están abiertas a patólogos de toda América Latina y otras regiones interesadas. En nuestra próxima sesión contaremos con el Prof. Jimenez Heffernan José\, un destacado experto en citopatología con amplia experiencia clínica y docente. En esta charla\, abordará el diagnóstico citológico en derrames\, desde los principios clásicos hasta los conceptos emergentes. La presentación ofrecerá claves prácticas para la diferenciación entre procesos benignos y malignos\, el reconocimiento de artefactos diagnósticos y la aplicación de criterios actualizados en casos complejos. No se pierda esta oportunidad de aprendizaje con uno de los referentes en la materia. \nRegister Now
URL:https://www.pathologynews.com/event/diagnexia-webinar-series-diagnostico-citologico-de-neoplasias-infrecuentes-en-derrames-un-escenario-cada-vez-mas-comun/
LOCATION:Online
CATEGORIES:Live Online Webinar
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