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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260409T150000
DTEND;TZID=Europe/London:20260409T160000
DTSTAMP:20260826T211014
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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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260408T160000
DTEND;TZID=UTC:20260408T170000
DTSTAMP:20260826T211014
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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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260331T150000
DTEND;TZID=Europe/London:20260331T160000
DTSTAMP:20260826T211014
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:20260826T211014
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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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260303T140000
DTEND;TZID=UTC:20260303T150000
DTSTAMP:20260826T211014
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:20260826T211014
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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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260223T140000
DTEND;TZID=UTC:20260223T150000
DTSTAMP:20260826T211014
CREATED:20260220T095427Z
LAST-MODIFIED:20260224T103402Z
UID:100118821-1771855200-1771858800@www.pathologynews.com
SUMMARY:GSK AIML: From drug discovery to drug development
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 Danielle Belgrave\, GSK\, London\, UK. \nAbstract\nMultimodal machine learning models can learn shared representations of human biological state from molecular\, cellular\, imaging\, and clinical data to better understand disease mechanisms. These models are applied across clinical development to support biomarker discovery\, patient stratification\, and treatment response. Our work aims to build scalable AI to enable precision medicine. \nRegister NowBio\nDanielle Belgrave is a VP of AI/ML at GSK. Her experience spans conducting machine learning research and leading teams across academia and industry focused on scientific discovery and personalising interventions in health. She has previously worked at Google DeepMind\, Microsoft Research Cambridge\, UK and Imperial College London. She has a BSc in business mathematics and statistics from the London School of Economics and a master’s degree in statistics from University College London. Her PhD was at the University of Manchester in Machine Learning for Healthcare.
URL:https://www.pathologynews.com/event/gsk-aiml-from-drug-discovery-to-drug-development/
CATEGORIES:Live Online Webinar
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260219T160000
DTEND;TZID=Europe/London:20260219T170000
DTSTAMP:20260826T211014
CREATED:20260108T132253Z
LAST-MODIFIED:20260108T132253Z
UID:100117768-1771516800-1771520400@www.pathologynews.com
SUMMARY:Designing and Developing Automated Solutions Using the HALO GraphQL API
DESCRIPTION:0000Days00Hrs00Min00SecThe webinar starts at 8:00 PST\, 11:00 EST\, 16:00 GMT \nLearn the fundamentals of the HALO GraphQL API and how to design\, develop\, and implement time-saving automations\n\n\nSummary\n\n\n\n\nThis presentation introduces the foundational concepts of GraphQL\, beginning with a clear explanation of what GraphQL is and how it is implemented for the HALO Link platform. It then provides an overview of OpenID Connect (OIDC) while examining both the Client Credentials Flow and the Authorization Code Flow. The session demonstrates how OIDC authentication integrates with the HALO Link GraphQL API\, including a walkthrough of obtaining an access token using the Client Credentials Flow.  \nBuilding on these fundamentals\, the presentation unveils the design and development of an Automated Slide QC Process. Feature requirements are defined\, including: triggering the process via the ImageCatalogedEvent when an image is cataloged into HALO Link; automatically performing an Image QC analysis to compute percent normal tissue; and updating the corresponding HALO Link task to complete or failed based on a configurable threshold. A high-level architectural overview illustrates how the Automated Slide QC workflow interacts with both GraphQL and OIDC\, supported by a sequence diagram.  \nThe session concludes with a live coding demonstration in Python\, developing the Automated Slide QC Process in real time to show how the concepts\, APIs\, and authentication mechanisms come together in a practical implementation.  \n\n\n\n\n\nLearning Objectives\n\n\n\n\n\nLearn the fundamentals of GraphQL and how it is implemented in HALO Link \nLearn about OpenID Connect and how OIDC authentication works with the GraphQL API\nLearn how the discussed tools and concepts can be applied to automate slide QC \n\n\n\n\nRegister Now\nPresenter\n\nAndrew Gibson\nIntegrations Developer\nIndica Labs  \nAndrew Gibson is a software engineer from Albuquerque\, New Mexico. He earned his bachelor’s degree in Business Operations from the University of New Mexico before continuing his studies in computer science at Oregon State University. With nearly nine years at Indica Labs Inc.\, Andrew began his career as a front-end developer on HALO Link\, where he was responsible for implementing new UI features. He later transitioned to a back-end development team\, where he played a key role in designing\, implementing\, and maintaining the company’s GraphQL API. Currently\, Andrew works with Indica’s Cloud Services team as the lead Integrations Developer\, where he helps develop integration software solutions for HALO\, HALO Link\, and HALO AP with third-party software. 
URL:https://www.pathologynews.com/event/designing-and-developing-automated-solutions-using-the-halo-graphql-api/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260210T110000
DTEND;TZID=UTC:20260210T120000
DTSTAMP:20260826T211015
CREATED:20260206T154825Z
LAST-MODIFIED:20260206T154825Z
UID:100118580-1770721200-1770724800@www.pathologynews.com
SUMMARY:Multiomic Spatial Profiling and Artificial Intelligence: The Next Generation in Diagnostic Haematopathology?
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 Matthew Pugh from University of Birmingham\, Birmingham\, UK. \nAbstract\nMultiomic spatial profiling technologies are transforming primary tissue research\, yielding exciting new biological insights into disease processes. Despite this\, the benefits of this technology in clinical practice have not yet been realised. The diagnosis of blood cancer depends heavily on tissue biopsy histological assessment\, necessitating multiple immunohistochemical and in-situ hybridisation assays\, performed on separate tissue sections. This tissue-intensive approach can lead to tissue exhaustion and a repeat biopsy procedure. Multiomic spatial profiling techniques enable all these assays to  be performed on a single section of tissue\, facilitating complete diagnosis and streamlining laboratory and diagnostic processes. Computational and artificial intelligence-driven analysis of this data could facilitate pathological diagnosis and generate novel predictive and diagnostic biomarkers. In this talk we will explore the benefits and risks that multiomic spatial profiling combined with computational pathology could bring to the field of diagnostic haematopathology. \nRegister NowBio\nDr Pugh is an associate clinical professor and an honorary consultant haematopathologist based at the University of Birmingham. Following a BRC Molecular Pathology Fellowship at the ICR\, London\, and JSPS and BHP pre-doctoral fellowships\, he was awarded an MRC CRTF. Dr Pugh now leads a group researching EBV-driven lymphoproliferations\, specialising in the use of spatial profiling techniques to transform our understanding of lymphoproliferative disorders\, improve diagnosis\, and inform treatment.
URL:https://www.pathologynews.com/event/multiomic-spatial-profiling-and-artificial-intelligence-the-next-generation-in-diagnostic-haematopathology/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260202T140000
DTEND;TZID=Europe/London:20260202T150000
DTSTAMP:20260826T211015
CREATED:20260116T104926Z
LAST-MODIFIED:20260116T104926Z
UID:100117933-1770040800-1770044400@www.pathologynews.com
SUMMARY:TIA Centre Seminar Series – Computational Pathology Before and After the Foundation Model Era
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 Yang Hu from University of Leicester\, Leicester\, UK. \nAbstract\nComputational pathology is broadly utilized in both diagnosis and biomedical research\, offering data-driven approaches to augment traditional histopathological practice. Unlike conventional image analysis\, whole slide images (WSIs) present unique challenges due to their extreme size\, with weakly supervised learning at the slide level becoming a dominant paradigm. The interplay of multi-scale features\, ranging from cellular to tissue-level structures\, introduces subtle yet profound influences on the understanding of tissue morphology. In this talk\, I will begin by discussing cross-scale feature communication and then turn to the interpretability of patch-level representations in the era of pathology foundation models. Building on this\, I will explore how diverse morphological explanations arise and conclude with perspectives on the integration and coordination of multiple foundation models to advance computational pathology. \nRegister NowBio\nDr Yang Hu is a lecturer at the School of Computing and Mathematical Sciences\, University of Leicester\, having ended his contract as a Research Scientist at the Nuffield Department of Medicine\, University of Oxford. His research focuses on computational pathology\, medical image analysis\, and the development of lightweight and interpretable artificial intelligence methods.
URL:https://www.pathologynews.com/event/tia-centre-seminar-series-computational-pathology-before-and-after-the-foundation-model-era/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260122T160000
DTEND;TZID=Europe/London:20260122T170000
DTSTAMP:20260826T211015
CREATED:20251212T110900Z
LAST-MODIFIED:20251212T110900Z
UID:100117398-1769097600-1769101200@www.pathologynews.com
SUMMARY:Highly Multiplexed Imaging Reveals CAF-immune Cell Niches in Cutaneous Carcinomas
DESCRIPTION:0000Days00Hrs00Min00SecRegister below! The webinar starts at 8 AM PST\, 4 PM GMT\, and 11 AM EST. \nLearn how HALO and HALO AI are helping expand our understanding of immune regulation by different subtypes of cancer-associated fibroblasts!\n\n\n\n\nSummary\n\n\n\n\nCancer-associated fibroblasts (CAFs) shape the tumor microenvironment (TME)\, influencing immune cell (IC) infiltration and anti-tumor activity. Three major CAF subtypes are identified in cutaneous carcinomas. Immunomodulatory CAFs (iCAFs)\, enriched in late-stage tumors\, express cytokines and chemokines that promote IC recruitment and activation. Matrix CAFs (mCAFs) produce extracellular matrix and ensheath tumor nests\, restricting IC entry. Myofibroblast-like CAFs (myoCAFs) resemble pericytes and contractile fibroblasts and likely support tissue remodeling and tumor vasculature.   \nKeratinocyte cancers\, including basal cell carcinomas (BCCs) and squamous cell carcinomas (SCCs)\, were profiled by Imaging Mass Cytometry using a panel targeting major myeloid\, lymphoid and CAF subsets\, including activation and exhaustion markers. Image analysis\, clustering\, and spatial mapping were performed with HALO\, Seurat\, and Squidpy\, enabling high-resolution definition of CAF niches.   \nSCCs harbored more immune cells than BCCs\, particularly lymphocytes. Tumor immune phenotypes—immune-desert\, -excluded\, and -inflamed—correlated with CAF composition: inflamed SCCs were enriched in iCAFs\, whereas immune-excluded BCCs and SCCs contained more mCAFs and myoCAFs; infiltrative BCCs were particularly enriched in myoCAFs. Spatial analysis mapped iCAFs adjacent to lymphocytes\, while myoCAFs formed fibroblast-rich stromal regions largely devoid of immune cells. These findings indicate that specific CAF subtypes differentially regulate immune infiltration and activation\, suggesting that targeting specific CAF subsets could enhance immunotherapy efficacy in cutaneous keratinocyte carcinomas and could be possibly translated to other keratinocyte cancers.  \n\n\n\n\n\n\n\n\nLearning Objectives\n\n\n\n\n\nLearn how to analyze highly multiplexed stainings in HALO \nLearn about the workflow applied in the study: Cell segmentation\, tissue classification\, cell phenotyping in R\, import of cell phenotypes back into HALO to conduct quality control and spatial analysis.\nLearn how cancer-associated fibroblast niches influence immune cell activation in skin cancer\n\n\n\n\n\nRegister NowPresenter\nBertram Aschenbrenner\, PhD \nPost-Doctoral Fellow \nLichtenberger Laboratory\, Medical University of Vienna   \nDr. Bertram Aschenbrenner studied molecular biology at the University of Vienna\, Austria and performed his master studies in the laboratory of Manuela Baccarini analyzing CRAF – Rok-α interactions. During his PhD studies in the research group of Ira-Ida Skvortsova at the Medical University of Innsbruck\, he dissected radioresistance mechanisms of mesenchymal breast carcinoma cells.  \nIn his current role as a post-doctoral fellow in the lab of Beate Lichtenberger at the Medical University of Vienna\, Bertram uses imaging mass cytometry\, 2D and 3D cell culture systems\, and skin cancer organoids harboring native tumor stroma to investigate different immunomodulatory functions of cancer-associated fibroblasts. 
URL:https://www.pathologynews.com/event/highly-multiplexed-imaging-reveals-caf-immune-cell-niches-in-cutaneous-carcinomas/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260119T140000
DTEND;TZID=UTC:20260119T150000
DTSTAMP:20260826T211015
CREATED:20260107T121138Z
LAST-MODIFIED:20260107T121138Z
UID:100117733-1768831200-1768834800@www.pathologynews.com
SUMMARY:TIA Centre Seminar Series – Do androids dream of digital diagnoses? A pathologist’s perspective on digital and 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 Dr Diana Montezuma Felizardo from IMP Diagnostics\, Portugal. \nAbstract\nWith a nod to Do androids dream of electric sheep? this talk will explore digital and computational pathology from a pathologist’s point of view. This session aims to be very practical\, bringing together a pot pourri of insights from real-world digital deployment and hands-on experience with computational research projects. The goal is to demystify the digital transition\, highlight pathologists’ contributions to CPath projects\, and emphasise the importance of multidisciplinarity in CPath research. \nRegister NowBio\nPathologist\, currently coordinating the R&D Unit at IMP Diagnostics (Portugal); invited junior researcher at the Cancer Biology and Epigenetics Group (CBEG) – Portuguese Institute of Oncology of Porto; board member and chair of the Scientific Committee of the European Society of Digital and Integrative Pathology (ESDIP). Medical degree from University of Coimbra (FMUC); PhD in Medical Sciences from ICBAS\, University of Porto.
URL:https://www.pathologynews.com/event/tia-centre-seminar-series-do-androids-dream-of-digital-diagnoses-a-pathologists-perspective-on-digital-and-computational-pathology/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251210T163000
DTEND;TZID=Europe/London:20251210T173000
DTSTAMP:20260826T211015
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:20260826T211015
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251208T140000
DTEND;TZID=Europe/London:20251208T150000
DTSTAMP:20260826T211015
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251126T140000
DTEND;TZID=Europe/London:20251126T150000
DTSTAMP:20260826T211015
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251121T110000
DTEND;TZID=Europe/London:20251121T120000
DTSTAMP:20260826T211015
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:20260826T211015
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:20260826T211015
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:20260826T211015
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251027T140000
DTEND;TZID=Europe/London:20251027T150000
DTSTAMP:20260826T211015
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251023T160000
DTEND;TZID=Europe/London:20251023T170000
DTSTAMP:20260826T211015
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
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251021T160000
DTEND;TZID=Europe/London:20251021T170000
DTSTAMP:20260826T211015
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
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251016T160000
DTEND;TZID=Europe/London:20251016T170000
DTSTAMP:20260826T211015
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:20260826T211015
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:20260826T211015
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:20260826T211015
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:20260826T211015
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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BEGIN:VEVENT
DTSTART;TZID=UTC:20250715T100000
DTEND;TZID=UTC:20250715T110000
DTSTAMP:20260826T211015
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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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20250624T140000
DTEND;TZID=Europe/Paris:20250624T140000
DTSTAMP:20260826T211015
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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END:VCALENDAR