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DTSTART;TZID=Europe/London:20251110T140000
DTEND;TZID=Europe/London:20251110T150000
DTSTAMP:20260829T060402
CREATED:20251029T090353Z
LAST-MODIFIED:20251029T090353Z
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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
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251117T140000
DTEND;TZID=Europe/London:20251117T150000
DTSTAMP:20260829T060402
CREATED:20251111T142519Z
LAST-MODIFIED:20251111T142519Z
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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
ATTACH;FMTTYPE=image/png:https://www.pathologynews.com/wp-content/uploads/2025/11/TIA-Centre-Seminar-Series-–-Too-Many-Models-Too-Few-Benchmarks-Addressing-the-benchmarking-crisis-in-AI-for-pathology-1.png
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251121T110000
DTEND;TZID=Europe/London:20251121T120000
DTSTAMP:20260829T060402
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
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251126T140000
DTEND;TZID=Europe/London:20251126T150000
DTSTAMP:20260829T060402
CREATED:20251112T171912Z
LAST-MODIFIED:20251112T171912Z
UID:100116779-1764165600-1764169200@www.pathologynews.com
SUMMARY:Optimizing the pathology workflow with Aiforia® Breast Cancer Suite
DESCRIPTION:Join Aiforia to learn how AI technology can enhance precision\, speed\, and diagnostic accuracy in breast cancer diagnostics. \nPathologist and Aiforia’s Medical Director\, Richard Doughty\, will discuss his experiences working with breast cancer tissue samples in routine diagnostics. He will showcase a typical BC workflow with and without AI and explain how Aiforia’s AI seamlessly integrates to enhance every step\, from sample analysis to diagnosis. \nAiforia®️ Breast Cancer Suite is the most comprehensive AI toolkit for breast cancer diagnostics\, supporting the entire diagnostic workflow. It consists of six CE-IVD marked AI solutions with an optimized interactive user interface that assists pathologists in the histological grading of breast cancer\, assessment of breast cancer IHC markers\, and the detection of lymph node metastasis. The user can review\, verify\, and modify results\, ensuring the highest quality of output. \nWho should join?\n\nPathologists involved in the routine diagnostic workflow for breast cancer\nOncologists and other clinicians who rely on accurate and timely breast cancer diagnostics for treatment planning\nLaboratory directors and administrators interested in implementing AI-powered digital pathology tools to improve efficiency and precision\nAnyone involved in breast cancer diagnostics who wants to learn about the practical application of AI in histological grading\, IHC marker assessment\, and metastasis detection\n\nRegister NowSpeakers\nRichard Doughty\, DVM\, MD\, MSc\nMedical Director at Aiforia Technologies \n\nConsulting pathologist at Oslo University Hospital\nMedical doctor and specialist in pathology with extensive diagnostic experience.\nQualified veterinarian with pathology expertise in pharmaceutical research and development.\n\nRute Pedrosa\, PhD\nSenior Field Application Scientist\, Aiforia Technologies \n\nHas worked at Aiforia for 2.5 years\nPhD at Erasmus University Rotterdam\, focusing on the pathogenesis of brain metastatic disease
URL:https://www.pathologynews.com/event/optimizing-the-pathology-workflow-with-aiforia-breast-cancer-suite/
LOCATION:Online
CATEGORIES:Live Online Webinar
ATTACH;FMTTYPE=image/jpeg:https://www.pathologynews.com/wp-content/uploads/2025/11/Optimizing-the-pathology-workflow-with-Aiforia®-Breast-Cancer-Suite.jpg
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