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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260611T140000
DTEND;TZID=Europe/London:20260611T150000
DTSTAMP:20260826T183633
CREATED:20260507T085125Z
LAST-MODIFIED:20260514T082706Z
UID:100121023-1781186400-1781190000@www.pathologynews.com
SUMMARY:Two-part Webinar Series: Human Brilliance\, Augmented: Mastering Medical Information Overload with RAG and Second Brains. - Part 2
DESCRIPTION:0000Days00Hrs00Min00SecThis webinar will start at 2pm BST\, 9am EST \nIn this two-part webinar series\, Dr Soufiane Azdad and Dr Matthew Cecchini explore how AI is not here to replace the pathologist\, but to act as a powerful tool that augments human brilliance. \nEpisode 2 – The Augmented Lab: From Education to the Grossing Room\nPart 4 – Transforming Medical Education \nGenerating educational outputs directly from the second brain — interactive study aids\, flashcards\, quizzes\, and visual concept maps for medical students and residents. Journal club automation: scanning\, triaging\, and summarizing new literature from targeted journals. \nPart 5 – The Augmented Pathology Workflow \nHow AI-powered knowledge systems pair with physical workflow innovations (e.g.\, computer vision in automated pre-analytical steps) to create the pathology lab of the future. Emphasis on privacy-first\, on-premises architecture. \n*All sessions will be presented in English. \nRegister NowSpeakers\nDr Soufiane Akdad & Dr Matthew Cecchini
URL:https://www.pathologynews.com/event/two-part-webinar-series-human-brilliance-augmented-mastering-medical-information-overload-with-rag-and-second-brains-part-2/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260601T140000
DTEND;TZID=Europe/London:20260601T150000
DTSTAMP:20260826T183633
CREATED:20260519T104944Z
LAST-MODIFIED:20260519T104944Z
UID:100121394-1780322400-1780326000@www.pathologynews.com
SUMMARY:TIA Centre Seminar Series – Co-evolving Computational Pathology: From Interactive Foundation Models (VISTA-PATH) to Agentic Medical Image Analysis (TissueLab)
DESCRIPTION:0000Days00Hrs00Min00SecThe Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions. \nThis seminar features Dr Peixian Liang and Songhao Li from the University of Pennsylvania\, USA. \nAbstract\nComputational pathology is rapidly moving beyond static\, single-task predictors toward interactive systems that can segment\, reason\, and quantify tissue morphology under expert supervision. In this talk\, we present two complementary pillars of this transition from our group. First\, we introduce VISTA-PATH\, an interactive foundation model for histopathology image segmentation designed to resolve heterogeneous tissue structures\, incorporate expert feedback\, and generate pixel-level segmentations that are directly meaningful for clinical interpretation. Trained on over 1.6 million image–mask–text triplets spanning 9 organs and 93 tissue classes\, VISTA-PATH outperforms existing segmentation foundation models and enables clinically relevant biomarkers\, such as the Tumor Interaction Score (TIS)\, which shows a strong association with patient survival. Second\, we present TissueLab\, an open\, co-evolving agentic system (tissuelab.org) for end-to-end medical image analysis. TissueLab unifies foundation models and analytical tools within a modular tool graph\, including VISTA-PATH for interactive segmentation\, and translates LLM-generated plans into executable operations. Through tool-level\, strategy-level\, and workflow-level co-evolution\, it achieves over 90% accuracy in cancer cell quantification within 10-30 minutes of expert feedback\, improves lymph-node metastasis correlation from 0.827 to 0.933\, and reaches a macro-AUC of 0.838 on tubule formation scoring\, outperforming human-orchestrated workflows and state-of-the-art VLMs. \nRegister NowBio\nPeixian Liang is a Postdoctoral Researcher at the University of Pennsylvania\, working with Prof. Zhi Huang. She received her Ph.D. degree in Computer Science from the University of Notre Dame\, Notre Dame\, IN\, USA\, in 2023. Her research focuses on developing innovative AI/ML methods to advance medicine. She is particularly interested in building foundation models and computational frameworks to assist pathologists\, reduce variability in diagnosis\, and identify clinically relevant morphologic biomarkers. Her work aims to advance AI-driven approaches for more precise diagnosis\, prognosis\, and clinical and biological discovery. Songhao Li is a first-year Ph.D. student in Electrical and Systems Engineering at the University of Pennsylvania\, advised by Prof. Zhi Huang. He received his M.S. in Computer Science from New York University in 2025 and brings a strong full-stack and system-engineering background from prior roles in industry. His research focuses on agentic AI\, human–AI collaboration\, and ML/DL for medicine\, aiming to bridge AI research and clinical practice through transparent\, interactive\, and continuously learning systems. 
URL:https://www.pathologynews.com/event/tia-centre-seminar-series-co-evolving-computational-pathology-from-interactive-foundation-models-vista-path-to-agentic-medical-image-analysis-tissuelab/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260519T160000
DTEND;TZID=Europe/London:20260519T170000
DTSTAMP:20260826T183634
CREATED:20260416T093638Z
LAST-MODIFIED:20260416T093638Z
UID:100120336-1779206400-1779210000@www.pathologynews.com
SUMMARY:Masterclass: Performing Spatial Analysis Workflows with HALO®
DESCRIPTION:0000Days00Hrs00Min00SecThe webinar will start at 8:00 PDT\, 11:00 EDT\, 16:00 BST \nLearn how to unlock deeper insights and enhance your data using the HALO Spatial Analysis module\nSummary\nThe HALO® Spatial Analysis module enables quantitative assessment of cellular spatial relationships within whole-slide images\, providing a clear and reproducible way to study spatial biology in brightfield and fluorescence tissue images and supporting richer\, more informative data outputs. Join Indica Labs for a masterclass exploring the key steps in a spatial analysis workflow: validating object data\, defining biologically relevant cell populations via filtering\, and generating interactive spatial plots. David Cordover\, Field Applications Scientist\, will discuss the algorithms included in the module—nearest neighbor\, proximity\, infiltration\, and density heatmaps—and demonstrate how they enable users to measure cell–cell distances\, assess spatial proximity within defined radii\, quantify cellular infiltration across tissue interfaces\, and visualize regional cell density patterns. \nDavid will also explore the Spatial Analysis module’s data visualization capabilities\, including customizable plot layers\, histograms\, color‑scaled heatmaps\, and markup images\, and walk through how they support both quality control and biological interpretation. Advanced features for saving and reusing spatial analysis settings\, batch processing across studies\, and exporting detailed summary metrics\, object‑level data\, plots\, and reports for downstream statistical analysis will also be highlighted. \n\n\nLearning Objectives\n\n\n\n\n\nLearn how to prepare and use cell and object data for spatial analysis in HALO \nRun and understand key spatial analysis tools\, including nearest neighbor\, proximity\, infiltration\, and density heatmaps\nView and adjust spatial results using plots and markup images \nRun analyses on multiple images\, save settings\, and export results for further use \n\n\n\nRegister Now\nPresenter\n\nDavid Cordover \nField Applications Scientist \nIndica Labs  \nDavid Cordover is a research field scientist with over 20 years of experience supporting research in large biopharma\, biotech\, and CRO organizations. His career spans roles at AMGEN\, Takeda\, Akoya Biosciences\, and small CRO’s specializing in histology and digital pathology. For most of his career he has focused on AI‑ and ML‑driven image analysis\, digital pathology\, and quantitative biomarker discovery. David has led high‑impact biomarker programs from preclinical research through IND stages\, working with multiple image analysis platforms and whole‑slide scanners\, including HALO AI\, Visiopharm\, and Akoya technologies. 
URL:https://www.pathologynews.com/event/masterclass-performing-spatial-analysis-workflows-with-halo/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260519T150000
DTEND;TZID=Europe/London:20260519T160000
DTSTAMP:20260826T183634
CREATED:20260507T084648Z
LAST-MODIFIED:20260514T082723Z
UID:100121016-1779202800-1779206400@www.pathologynews.com
SUMMARY:Two-part Webinar Series: Human Brilliance\, Augmented: Mastering Medical Information Overload with RAG and Second Brains. - Part 1
DESCRIPTION:0000Days00Hrs00Min00SecThis webinar will start at 3pm BST\, 10am EST \nIn this two-part webinar series\, Dr Soufiane Azdad and Dr Matthew Cecchini explore how AI is not here to replace the pathologist\, but to act as a powerful tool that augments human brilliance. \nEpisode 1 – The Cognitive Copilot: Taming Information Overload\nPart 1 – The Problem: Information Overload in Medicine \nThe exponential growth of medical literature\, complex classification updates\, and the cognitive load on practicing pathologists. Why generic LLMs fall short in clinical settings — hallucinations\, lack of source grounding\, and insufficient reliability for medical decision-making. \nPart 2 – Grounded AI: Retrieval-Augmented Generation at Scale \nPathology Outlines \nMyPathologyReport.com Osler \nBrief overview of NotebookLM as an accessible entry point for source-grounded AI. \nPart 3 – The Second Brain: Building a Living Knowledge Ecosystem \nThe second brain concept: moving beyond simple PDF querying to a comprehensive\, interconnected knowledge graph linking diagnoses\, IHC panels\, molecular testing\, and case notes. \nDemo of the daily workflow — capturing\, linking\, and retrieving knowledge at the point of need. \nLLM-KB-Wiki: the emerging approach (inspired by Andrej Karpathy) of giving an LLM the structured index of your knowledge base rather than traditional RAG. \nLocal LLM deployment via Ollama on Mac Studio (M4 Max\, 128GB) — guaranteed patient privacy\, zero-cost inference. \nMulti-agent systems interacting with customized wikis as a tailored diagnostic co-pilot. \n*All sessions will be presented in English. \nRegister NowSpeakers\nDr Soufiane Akdad & Dr Matthew Cecchini
URL:https://www.pathologynews.com/event/two-part-webinar-series-human-brilliance-augmented-mastering-medical-information-overload-with-rag-and-second-brains-part-1/
LOCATION:Online
CATEGORIES:Live Online Webinar
ATTACH;FMTTYPE=image/jpeg:https://www.pathologynews.com/wp-content/uploads/2026/05/Two-part-Webinar-Series-Human-Brilliance-Augmented-Mastering-Medical-Information-Overload-with-RAG-and-Second-Brains.-–-Part-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260519T150000
DTEND;TZID=Europe/London:20260519T160000
DTSTAMP:20260826T183634
CREATED:20260427T102432Z
LAST-MODIFIED:20260427T151942Z
UID:100120617-1779202800-1779206400@www.pathologynews.com
SUMMARY:NPIC Digital Pathology Webinar Series - Innovation into Practice – NPIC Overview and Laboratory Implementation.​
DESCRIPTION:0000Days00Hrs00Min00SecThe National Pathology Imaging Co-Operative (NPIC)continues an exciting new series of free educational webinars on digital pathology topics. \n\nLearn first-hand about hot topics in clinical digital reporting\, the digital laboratory\, IT and informatics and get a chance to pose your questions to the experts! ​\nSuitable for pathologists\, biomedical scientists\, informatics and IT professionals\, managers and industry representatives.​\n\n​In this session:​​ \n\nGet an update of the NPIC national digital pathology PACS system in the NHS and the associated NPIC Secure Data Environment.​\nFind out how you can join NPIC and get involved.​\nLearn about digital implementation in the laboratory\, including practical considerations and tips for successful deployment.\n\nRegister NowPresenters\nProf Darren Treanor\nNPIC Programme Director\nNPIC\n\nShamila Jabbar\nNPIC Lead Biomedical Scientist\nNPIC\n\n\nDr Bethany Williams\nNPIC Knowledge and Skills Lead\nNPIC
URL:https://www.pathologynews.com/event/npic-digital-pathology-webinar-series-innovation-into-practice-npic-overview-and-laboratory-implementation/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260511T140000
DTEND;TZID=UTC:20260511T150000
DTSTAMP:20260826T183634
CREATED:20260423T092530Z
LAST-MODIFIED:20260423T092530Z
UID:100120535-1778508000-1778511600@www.pathologynews.com
SUMMARY:TIA Centre Seminar Series – Computational Pathology for Discovering Biomarkers of Immunotherapy Response in Advanced Melanoma
DESCRIPTION:0000Days00Hrs00Min00SecThe Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions. \nThis seminar features Dr Mark Schuiveling from UMC Utrecht\, the Netherlands. \nAbstract\nImmune checkpoint inhibition (ICI) has significantly improved outcomes for patients with advanced cutaneous melanoma\, leading to durable responses and potential long-term remission in approximately half of patients. However\, it is also associated with severe and sometimes irreversible toxicity\, underscoring the need for reliable biomarkers. In our group\, we investigate whether computational pathology approaches add value beyond clinical data for identifying biomarkers associated with treatment response in these patients. In this talk\, I will highlight our work on tumor-infiltrating lymphocytes in melanoma histopathology\, as well as our recent work in the PUMA challenge\, where we assessed whether additional immune cell subsets provide further associated predictive value. \nRegister NowBio\nMark Schuiveling is a medical doctor and PhD candidate at the University Medical Centre Utrecht\, the Netherlands. He is expected to defend his thesis in the summer of 2026 and is currently working as an internal medicine resident\, after which he will begin an oncology fellowship in 2027. His research focuses on melanoma\, in which he and his colleagues have assembled a multicentre dataset of digitized whole-slide images\, CT scans\, and clinical data\, with the aim of improving prediction of response to first-line immune checkpoint inhibition in patients with advanced melanoma. His work has primarily focused on histopathological analysis\, including tumor-infiltrating lymphocyte (TIL) assessment\, as well as on the organization of the PUMA challenge\, which investigated whether additional immune cell subtypes provide added predictive value.
URL:https://www.pathologynews.com/event/tia-centre-seminar-series-computational-pathology-for-discovering-biomarkers-of-immunotherapy-response-in-advanced-melanoma/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260505T160000
DTEND;TZID=Europe/London:20260505T170000
DTSTAMP:20260826T183634
CREATED:20260330T083139Z
LAST-MODIFIED:20260330T083139Z
UID:100119976-1777996800-1778000400@www.pathologynews.com
SUMMARY:Advancing Precision Medicine Through Pathology and AI-Powered CDx with Indica Labs
DESCRIPTION:0000Days00Hrs00Min00SecThe webinar starts at 8:00 PDT\, 11:00 EDT\, 16:00 BST \nLearn about Indica Labs’ ability to deliver AI-driven CDx\n\n\nSummary\n\n\n\n\nJoin Indica Labs for an exciting webinar on developing AI-powered companion diagnostics in digital pathology. In this comprehensive session\, Indica Labs will introduce its vision for transforming bench to bedside to bench workflows\, take a deep dive into our experience in AI image analysis\, and demonstrate its ability to bring diagnostic products to market. Along the way\, you’ll learn about our experience conducting early proof-of-concept studies\, advancing them to biomarker discovery\, and managing clinical trial assays.   \nDon’t miss this opportunity to hear from senior executives as well as the CEO and Founder of Indica Labs on the topic of developing AI-driven companion diagnostics.  \n\n\nLearning Objectives\n\nLearn about Indica Labs’ initiatives and strategy for developing AI-powered CDx products in digital pathology\nGain insight into Indica Labs’ strategic partnership with Leica Biosystems\nDiscover how Indica Labs can take AI-based early proof-of–concept studies all the way through the development lifecycle to become a regulatory approved CDx\nFind out about deployment options in the CE-IVDR HALO AP® platform\nUnderstand the pathway to regulatory approval for CDx co-developed with Indica Labs and options for additional strategic partnerships\n\nHALO AP® is CE-IVDR marked for in-vitro diagnostic use in Europe\, the UK\, and Switzerland. HALO AP® is For Research Use Only in the USA and is not FDA cleared for clinical diagnostic use. In addition\, HALO AP® provides built-in compliance with FDA 21 CFR Part 11\, HIPAA\, and GDPR. \nRegister Now\nPresenters\n\nSteven Hashagen \nCEO and Founder\nIndica Labs  \nSteven Hashagen is the founder and CEO of Indica Labs\, a leading digital pathology software and AI company. Prior to forming Indica Labs in 2011\, Steven held software engineering\, software architect\, and product management roles at Aperio Technologies. Through this combined experience Steven has been a pioneer in the digital pathology field for over 20 years.  \nPeter Caie\, PhD\nSr. Director\, Precision Medicine\nIndica Labs \nPeter Caie worked for 9 years as a Senior Scientist at AstraZeneca before completing his PhD from the University of Edinburgh in Cancer Pathology. He went on to run the Quantitative and Digital Pathology (QUAD) Lab at the University of St Andrews where his research focused on artificial intelligence\, cancer prognosis and diagnosis in the field of digital and molecular pathology. Currently\, Dr. Caie is a Senior Director at Indica Labs where he manages the development of commercial AI products\, including CDx assays\, designed for deployment in both the clinical and life science fields.  \nDoug Bowman (Moderator)\nVP Precision Medicine\nIndica Labs  \nDoug is responsible for Indica Labs’ Precision Medicine group that partners with pharma companies to bring new AI-powered companion diagnostics to market. His team leads the commercial development of clinical AI solutions that deploy in HALO AP® and span laboratory operations to clinical research and diagnostic use cases. His Pharma Services team\, with deep experience in quantitative image analysis services\, supports customers’ pre-clinical and clinical biomarker assays. Prior to Indica Labs\, he spent 12+ years at Takeda Pharmaceuticals where he led the tissue-based imaging capabilities to support early discovery\, translational\, and clinical programs. Doug has a BSE in biomedical and electrical engineering from Duke University. 
URL:https://www.pathologynews.com/event/advancing-precision-medicine-through-pathology-and-ai-powered-cdx-with-indica-labs/
LOCATION:Online
CATEGORIES:Live Online Webinar
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260428T160000
DTEND;TZID=Europe/London:20260428T170000
DTSTAMP:20260826T183634
CREATED:20260416T091002Z
LAST-MODIFIED:20260416T093435Z
UID:100120322-1777392000-1777395600@www.pathologynews.com
SUMMARY:Inside Concentriq: The Product Behind the Top KLAS Score
DESCRIPTION:0000Days00Hrs00Min00SecThe webinar will start at 11am ET\, 4pm BST \nDigital Pathology Built for Real-World Practice\nAs digital pathology moves into daily practice\, the standard for what a platform should deliver is rising: an experience that works the way pathologists think\, operations that grow with the lab\, and AI that fits naturally into the workflow. \nProscia built Concentriq to that standard\, and continues to evolve it alongside the customers who use it every day. As a result\, Proscia’s customers told KLAS they trust Concentriq\, rating Proscia the top-performing digital pathology vendor across the US¹ and Europe.² \nJoin Proscia’s product team for a look at how the platform works in practice across academic medical centers\, health systems\, and reference labs — and a sneak peek at what we’re building next. Plus\, you’ll hear from guest speaker Daniel Roberts\, MD\, Medical Director of Digital Pathology at Cleveland Clinic\, on what digital pathology adoption and change management actually looks like in practice at one of the nation’s largest academic medical centers. \nRecommended for: Pathology leaders\, laboratory operations teams\, IT and informatics professionals\, and digital pathology leaders evaluating or expanding digital pathology programs. \nRegister NowPresenters\n\nDr. Daniel Roberts\nMedical Director of Digital Pathology\nCleveland Clinic\n\nAmanda Coble\nSenior Director of Product\nProscia\n\nPradyuman Kodavatiganti\nSenior Product Designer\nProscia\n\n\nAshley Faber\nSenior Director of Product Marketing\nProscia
URL:https://www.pathologynews.com/event/inside-concentriq-the-product-behind-the-top-klas-score/
LOCATION:Online
CATEGORIES:Live Online Webinar
ATTACH;FMTTYPE=image/jpeg:https://www.pathologynews.com/wp-content/uploads/2026/04/Inside-Concentriq-The-Product-Behind-the-Top-KLAS-Score.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260427T140000
DTEND;TZID=Europe/London:20260427T150000
DTSTAMP:20260826T183634
CREATED:20260323T133351Z
LAST-MODIFIED:20260323T133351Z
UID:100119827-1777298400-1777302000@www.pathologynews.com
SUMMARY:Foundation Models in Oncology: Why Benchmark Success Does Not Translate to Clinical Practice
DESCRIPTION:0000Days00Hrs00Min00SecThe Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions. \nThis seminar features Dr Duan Zhiyun from Fudan University\, China. \nAbstract\nFoundation models are rapidly reshaping biomedical research and hold great promise for oncology. Yet despite impressive benchmark performance\, their impact in real clinical settings remains limited. A key reason is that most current models are designed as narrow specialists optimized for static tasks\, while clinical oncology requires more generalist systems. Effective clinical support demands models that can integrate multimodal information\, follow the longitudinal course of disease\, and incorporate patient perspectives into decision-making. Rethinking model design along these dimensions will be crucial if foundation models are to move beyond benchmarks and become trusted partners in cancer care. \nRegister NowBio\nDuan is a medical doctor at Zhongshan Hospital of Fudan University\, Shanghai\, China. He has published as first author in several great journals in medicine\, including Cell Reports Medicine\, Nature Cancer\, and Journal of Translational Medicine over the past three years.
URL:https://www.pathologynews.com/event/foundation-models-in-oncology-why-benchmark-success-does-not-translate-to-clinical-practice/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260416T160000
DTEND;TZID=Europe/London:20260416T170000
DTSTAMP:20260826T183634
CREATED:20260402T132342Z
LAST-MODIFIED:20260402T132342Z
UID:100120080-1776355200-1776358800@www.pathologynews.com
SUMMARY:Why Aiforia’s Foundation Engine is Advancing Digital Pathology
DESCRIPTION:0000Days00Hrs00Min00SecThis webinar will start at 5 pm CEST\, 6 pm EEST\, 11 am pm EDT \nAI model development used to be a marathon of data and time\, but we have built a shortcut. Join Aiforia’s CPO and Director of Software Development to discover how Aiforia’s Foundation Engine elevates your research and diagnostics. \nThis session explores the design principles of Aiforia’s Foundation Engine and explains how this patent-pending technology sets a new benchmark for high-performance pixel-level image analysis and clinical-grade quality. \nPanu Kauppila\, M.Sc. (Tech.)\, Aiforia’s Chief Product Officer\, together with Yrjö Häme\, Ph.D.\, Aiforia’s Director of Software Development\, explain how pre-trained foundation models reduce AI model development timelines\, improve robustness\, and\, when combined with pathologists’ task-specific annotations\, provide even greater precision in clinical workflows. They will dive into Foundation Engine’s unparalleled technological architecture and capabilities\, enabling faster development and better generalization than with models based on convolutional neural networks. \nWhat will the session cover\n\nTechnology: analyzing the “under the hood” mechanics that power the Foundation Engine\nBenefits: maximizing AI model development throughput and expert-level precision with significantly less training data and manual effort while remaining cost-effective\nIntegration: how to access and deploy Foundation Models within the platform\nPractical examples: real-world use cases and performance results in Aiforia.\n\nWho should join?\n\nClinical pathologists seeking more robust and transparent AI tools\nDigital pathology innovators looking for the ultimate shortcut to high-performance AI models\nResearchers aiming to scale their throughput with less training data\nLab directors and managers aiming to increase diagnostic throughput and ensure reproducibility across clinical workflows\n\nRegister NowPresenters\nPanu Kauppila\, M.Sc. (Tech.)\nChief Product Officer\nAiforia \nPanu Kauppila is the Chief Product Officer (CPO) of Aiforia\, playing a key role in defining Aiforia’s product portfolio and prioritizing product development. He has more than 25 years of experience in productization and management of innovation in the medical technology sector in international companies. Thus\, Panu has a profound understanding of how\, with strong technological expertise\, scalable products can be built on top of a software platform for demanding preclinical and clinical use. He holds an M.Sc. in Physics and Medical Technology. \nYrjö Häme\, Ph.D.\nDirector of Software Development\nAiforia \nPanu Kauppila is the Chief Product Officer (CPO) of Aiforia\, playing a key role in defining Aiforia’s product portfolio and prioritizing product development. He has more than 25 years of experience in productization and management of innovation in the medical technology sector in international companies. Thus\, Panu has a profound understanding of how\, with strong technological expertise\, scalable products can be built on top of a software platform for demanding preclinical and clinical use. He holds an M.Sc. in Physics and Medical Technology.
URL:https://www.pathologynews.com/event/why-aiforias-foundation-engine-is-advancing-digital-pathology/
LOCATION:Online
CATEGORIES:Live Online Webinar
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260416T160000
DTEND;TZID=UTC:20260416T170000
DTSTAMP:20260826T183634
CREATED:20260302T141300Z
LAST-MODIFIED:20260302T141300Z
UID:100119058-1776355200-1776358800@www.pathologynews.com
SUMMARY:HALO AP 2.5 Sneak Peek Webinar
DESCRIPTION:0000Days00Hrs00Min00SecThe webinar starts at 8:00 PDT\, 11:00 EDT\, 16:00 BST \nLearn about the exciting new features in the 2.5 versions of HALO AP®!\n\n  \n\nSummary\n\n\n\n\nJoin us for a 1-hour webinar showcasing the latest advancements in HALO AP® version 2.5. Our robust digital pathology platform has been enhanced to support multi-site deployments\, new tools for the pathologist\, enhanced toolkit for collaboration\, and new Lab Logic capabilities. Hallie Rane\, Associate Product Manager for Clinical Applications at Indica Labs\, will demonstrate HALO AP’s Lab Logic capabilities\, highlighting recent improvements and exciting new features that make it easier to configure workflows combining AI results\, rules\, thresholds\, and manual review steps. Lab Logic brings these elements together in a single\, cohesive model\, giving labs more control over how decisions are made and actions are triggered across the platform.  \nHallie will also highlight updates to the tumor board module version 2.0 and show attendees how the new tumor board features support complex diagnostics when multi-disciplinary collaboration is key. Hallie will also give a detailed overview of additional HALO AP 2.5 features which include robust functionality and improved support for multi-site institutions including smart slide lists and profiles; site-specific reporting on a single platform; secondary assignee workflows; and multi-specimen support for a truly comprehensive bench-to-bedside workflow.  \n\n\n\n  \n\n\nLearning Objectives\n\n\n\n\n\nUnderstand the functionality of the HALO AP®platform and how it supports image and case management in anatomic pathology.\nUnderstand how Lab Logic provides a unified way to define\, manage and automate workflow behavior across AI and manual processes.\nDiscover new and improved collaboration tools for support of complex diagnostics and multi-disciplinary team meetings and learn how these new features support large medical institutions and multi-site deployments.\nIdentify how the new features in HALO AP 2.5 work together to create a configurable\, fully automatic\, AI-ready workflow for bench-to-bedside support. \n\n\n\nHALO AP® is CE-IVDR marked for in-vitro diagnostic use in Europe\, the UK\, and Switzerland. HALO AP® is For Research Use Only in the USA and is not FDA cleared for clinical diagnostic use. In addition\, HALO AP® provides built-in compliance with FDA 21 CFR Part 11\, HIPAA\, and GDPR. WBS-MAR-000020v1 \n\nRegister Now\nPresenter\n\nHallie RaneAssociate Product Manager for Clinical Applications Indica Labs  \nHallie Rane received a BS in biology from the University of New Mexico and has a background in molecular biology and evolution. Hallie joined Indica Labs in 2023 as the Product Specialist for HALO AP. Prior to Indica Labs\, Hallie worked in both industry and academic positions and has held a variety of technical and customer-facing roles\, where she collaborated with customers\, scientists\, and technicians to develop a diverse array of products. Her journey encompassed ventures into biotechnology innovation\, academic research labs\, and even the realm of craft beer production\, where she served as Head Brewer. 
URL:https://www.pathologynews.com/event/halo-ap-2-5-sneak-peek-webinar/
LOCATION:Online
CATEGORIES:Live Online Webinar
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260413T143000
DTEND;TZID=Europe/London:20260413T153000
DTSTAMP:20260826T183634
CREATED:20260323T132633Z
LAST-MODIFIED:20260323T132633Z
UID:100119823-1776090600-1776094200@www.pathologynews.com
SUMMARY:SAGE: Agentic Framework for Interpretable and Clinically Translatable Computational Pathology Biomarker Discovery
DESCRIPTION:0000Days00Hrs00Min00SecThe Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions. \nThis seminar features Dr Sahar Almahfouz Nasser from Emory University\, USA. \nAbstract\nDespite significant progress in computational pathology\, many AI models remain black-box and difficult to interpret\, posing a major barrier to clinical adoption due to limited transparency and explainability. This has motivated continued interest in engineered image-based biomarkers\, which offer greater interpretability but are often proposed based on anecdotal evidence or fragmented prior literature rather than systematic biological validation. We introduce SAGE (Structured Agentic system for hypothesis Generation and Evaluation)\, an agentic AI system designed to identify interpretable\, engineered pathology biomarkers by grounding them in biological evidence. SAGE integrates literature-anchored reasoning with multi-modal data analysis to correlate image-derived features with molecular biomarkers\, such as gene expression\, and clinically relevant outcomes. By coordinating specialized agents for biological contextualization and empirical hypothesis validation\, SAGE prioritizes transparent\, biologically supported biomarkers and advances the clinical translation of computational pathology. \nRegister NowBio\nDr. Sahar Almahfouz Nasser is a postdoctoral researcher at Emory University’s Madabhushi Lab\, working at the intersection of computational pathology\, agentic AI\, and translational oncology. She is the creator of SAGE\, an agentic framework for biologically grounded and clinically translatable biomarker discovery\, with a focus on interpretable and trustworthy AI for cancer care. She is a recipient of the Qualcomm Innovation Fellowship\, and her work has been published in leading AI and medical imaging venues.
URL:https://www.pathologynews.com/event/sage-agentic-framework-for-interpretable-and-clinically-translatable-computational-pathology-biomarker-discovery/
LOCATION:Online
CATEGORIES:Live Online Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260409T150000
DTEND;TZID=Europe/London:20260409T160000
DTSTAMP:20260826T183634
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:20260826T183634
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:20260826T183634
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:20260826T183634
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:20260826T183634
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:20260826T183634
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:20260826T183634
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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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260219T160000
DTEND;TZID=Europe/London:20260219T170000
DTSTAMP:20260826T183634
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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BEGIN:VEVENT
DTSTART;TZID=UTC:20260210T110000
DTEND;TZID=UTC:20260210T120000
DTSTAMP:20260826T183634
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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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260202T140000
DTEND;TZID=Europe/London:20260202T150000
DTSTAMP:20260826T183634
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:20260826T183634
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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BEGIN:VEVENT
DTSTART;TZID=UTC:20260119T140000
DTEND;TZID=UTC:20260119T150000
DTSTAMP:20260826T183634
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:20260826T183634
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:20260826T183634
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:20260826T183634
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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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251126T140000
DTEND;TZID=Europe/London:20251126T150000
DTSTAMP:20260826T183634
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:20260826T183634
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251117T140000
DTEND;TZID=Europe/London:20251117T150000
DTSTAMP:20260826T183634
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:VCALENDAR