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DTSTART;TZID=Europe/London:20260519T150000
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DTSTAMP:20260827T192433
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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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DTSTART;TZID=Europe/London:20260519T150000
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CREATED:20260507T084648Z
LAST-MODIFIED:20260514T082723Z
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SUMMARY:Two-part Webinar Series: Human Brilliance\, Augmented: Mastering Medical Information Overload with RAG and Second Brains. - Part 1
DESCRIPTION:0000Days00Hrs00Min00SecThis webinar will start at 3pm BST\, 10am EST \nIn this two-part webinar series\, Dr Soufiane Azdad and Dr Matthew Cecchini explore how AI is not here to replace the pathologist\, but to act as a powerful tool that augments human brilliance. \nEpisode 1 – The Cognitive Copilot: Taming Information Overload\nPart 1 – The Problem: Information Overload in Medicine \nThe exponential growth of medical literature\, complex classification updates\, and the cognitive load on practicing pathologists. Why generic LLMs fall short in clinical settings — hallucinations\, lack of source grounding\, and insufficient reliability for medical decision-making. \nPart 2 – Grounded AI: Retrieval-Augmented Generation at Scale \nPathology Outlines \nMyPathologyReport.com Osler \nBrief overview of NotebookLM as an accessible entry point for source-grounded AI. \nPart 3 – The Second Brain: Building a Living Knowledge Ecosystem \nThe second brain concept: moving beyond simple PDF querying to a comprehensive\, interconnected knowledge graph linking diagnoses\, IHC panels\, molecular testing\, and case notes. \nDemo of the daily workflow — capturing\, linking\, and retrieving knowledge at the point of need. \nLLM-KB-Wiki: the emerging approach (inspired by Andrej Karpathy) of giving an LLM the structured index of your knowledge base rather than traditional RAG. \nLocal LLM deployment via Ollama on Mac Studio (M4 Max\, 128GB) — guaranteed patient privacy\, zero-cost inference. \nMulti-agent systems interacting with customized wikis as a tailored diagnostic co-pilot. \n*All sessions will be presented in English. \nRegister NowSpeakers\nDr Soufiane Akdad & Dr Matthew Cecchini
URL:https://www.pathologynews.com/event/two-part-webinar-series-human-brilliance-augmented-mastering-medical-information-overload-with-rag-and-second-brains-part-1/
LOCATION:Online
CATEGORIES:Live Online Webinar
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DTSTART;TZID=Europe/London:20260519T160000
DTEND;TZID=Europe/London:20260519T170000
DTSTAMP:20260827T192433
CREATED:20260416T093638Z
LAST-MODIFIED:20260416T093638Z
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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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