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DTSTART;TZID=UTC:20260707T083000
DTEND;TZID=UTC:20260707T183000
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SUMMARY:Path360 2026: The Convenzis NHS Pathology Strategy Conference South
DESCRIPTION:0000Days00Hrs00Min00SecClinical Diagnostics & Medical Sciences\nPathology services are integral to the NHS\, supporting over 70% of clinical diagnoses. As demands on pathology continue to grow\, innovation in digital pathology\, automation\, and workforce management is essential. This conference will explore the latest advancements and strategies for ensuring efficiency\, accuracy\, and service sustainability. \nKey Topics:\n\nDigital pathology and AI-driven diagnostics\nAddressing staff shortages and training needs\nThe future of pathology networks\nImproving turnaround times and service integration\nInvestment and funding for pathology services\n\nRegister NowWhy Attend?\nThis annual event brings together NHS pathology professionals\, laboratory managers\, and clinical leaders to explore cutting-edge developments in diagnostics. Join the conversation and be part of shaping the future of pathology services.
URL:https://www.pathologynews.com/event/pathvision-2026-the-convenzis-nhs-pathology-strategy-conference-south/
LOCATION:etc.venues\, Prospero House\, London\, 241 Borough High St\, London\, SE1 1GA\, United Kingdom
CATEGORIES:In Person Event
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260708
DTEND;VALUE=DATE:20260709
DTSTAMP:20260826T093756
CREATED:20260527T084953Z
LAST-MODIFIED:20260527T084953Z
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SUMMARY:Advances in Screening and Early Detection in Urological Oncology
DESCRIPTION:Advancing Urology Diagnostics Through Clinical Innovation\nJoin Source Cambridge Clinical Laboratories for an exclusive evening of education\, discussion\, and networking focused on the evolving landscape of urology diagnostics and patient care. \nThis specialist event will focus on the evolving role of advanced diagnostics in urology\, exploring developments across early detection\, screening\, diagnosis\, prognosis\, and treatment decision-making. \nExpert speakers will discuss the integration of innovative diagnostic approaches across both primary and secondary care settings\, including insights into emerging biomarkers and specialist testing solutions such as Proclarix\, alongside our wider urology portfolio. \nThe evening will provide an opportunity to connect with peers\, share clinical perspectives\, and discuss collaborative approaches to improving patient outcomes through more informed diagnostic strategies. \nSpaces will be limited. Register your interest early to receive further event updates and priority access once registration opens. \nRegister Now
URL:https://www.pathologynews.com/event/advances-in-screening-and-early-detection-in-urological-oncology/
LOCATION:Cambridge Biomedical Campus\, Hills Road\, Cambridge\, CB2 0QQ\, United Kingdom
CATEGORIES:In Person Event
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260708T090000
DTEND;TZID=Europe/London:20260708T100000
DTSTAMP:20260826T093756
CREATED:20260617T132633Z
LAST-MODIFIED:20260617T132633Z
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SUMMARY:QC at Scale: Moving Beyond Manual Review in Digital Pathology
DESCRIPTION:0000Days00Hrs00Min00SecThis webinar will start at 10AM EDT\, 7AM PDT\, 4PM CET\, 9am BST \nAs digital pathology volumes grow\, manual quality control is struggling to keep pace. Slide defects like out-of-focus regions and missed tissue can slip through undetected\, reaching pathologists’ queues and undermining diagnostic confidence\, turnaround times\, and AI readiness. \nThis webinar explores how AI-powered automation is transforming lab QC: catching issues early\, reducing rework\, and ensuring only the highest-quality images reach your pathologists. \nWhat you’ll learn\n\nWhy manual QC breaks down at scale — and the hidden costs when it fails\nHow automated QA improves speed\, consistency\, and workflow efficiency across your lab\nWhy image quality is the foundation of every successful digital pathology and AI strategy\n\nThis webinar is ideal for… \nLab managers\, QC staff\, researchers and anyone involved in managing whole slide imaging workflows and their quality control \nRegister NowSpeaker\nKatherine LatimerProduct Manager Digital PathologyBarco \nKat Latimer holds a Master of Engineering in Biomedical Engineering from Colorado State University and a BS in Biochemistry from the University of New Mexico. Her graduate research focused on tissue engineering and end-to-end medical device development. After spending several years at Indica Labs\, she currently leads Barco’s digital pathology product efforts.
URL:https://www.pathologynews.com/event/qc-at-scale-moving-beyond-manual-review-in-digital-pathology/
LOCATION:Online
CATEGORIES:Live Online Webinar
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260714T030000
DTEND;TZID=UTC:20260714T040000
DTSTAMP:20260826T093756
CREATED:20260701T125138Z
LAST-MODIFIED:20260701T125138Z
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SUMMARY:NPIC Digital Pathology Webinar Series - Innovation into Practice - NPIC Digital Pathology Platform and Deployment Strategy
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\nIn this session:  \n\nFind out about the NPIC technical platform for digital pathology!​\nHear about the opportunities and challenges of digital pathology deployment\, and the NPIC approach.​\nPose questions to our speakers in our live Q and A session!\n\nRegister NowSpeakers:\nIan Mason\nProgramme Head for Digital Deployment & Business Services​\n\nWaseem Akhtar\nPortfolio Delivery Manager\n\n\nDr Bethany Williams\nNPIC Knowledge and Skills Lead
URL:https://www.pathologynews.com/event/npic-digital-pathology-webinar-series-innovation-into-practice-npic-digital-pathology-platform-and-deployment-strategy/
LOCATION:Online
CATEGORIES:Live Online Webinar
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260720
DTEND;VALUE=DATE:20260723
DTSTAMP:20260826T093756
CREATED:20260423T093624Z
LAST-MODIFIED:20260423T093938Z
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SUMMARY:Medical Image Understanding and Analysis (MIUA) 2026
DESCRIPTION:0000Days00Hrs00Min00SecThe Medical Image Understanding and Analysis (MIUA) is an international conference dedicated to the communication of research in image processing\, analysis\, and their applications in medical imaging and biomedicine. For the first time in MIUA history\, we are hosting the conference in Ireland. As a rapidly growing field with increasing real-world impact\, MIUA serves as the principal platform for sharing progress within the medical imaging community. \nThe conference welcomes researchers from diverse disciplines\, including mathematics\, computer science\, bioinformatics\, clinical practice\, engineering\, and biosciences. MIUA aims to foster collaboration and advance this multidisciplinary field by bringing together experts to share insights\, disseminate findings\, and discuss the latest advancements. \nDesigned to promote the growth and visibility of medical image understanding and analysis\, MIUA encourages active engagement and collaboration across its broad audience\, contributing to the development of innovative solutions in medical and biomedical imaging sciences. \nRegister NowMIUA covers many topics in medical imaging including: \n\nBiomarker Discovery\nBrain Imaging\nCancer Cardiac Imaging\nCirculation and Microcirculation\nComputational anatomy and physiology\nComputed Tomography\nDeep Learning\nDermatology\nImage Interpretation\nImage Guided Intervention\nImage Physics\nIn-Vivo Intravital Imaging\nInflammation\nMachine Learning\nMagnetic Resonance Imaging\nMicroscopy\nMulti Modal Image Analysis\nNeurology\nNovel Imaging Methods\nPerception Modelling and Simulation\nPositron Emission Imaging\nOphthalmology\nOptical Imaging\nRadiology\nTexture Analysis\nTissue Perfusion\nUltrasound
URL:https://www.pathologynews.com/event/medical-image-understanding-and-analysis-miua-2026/
LOCATION:University College Dublin\, Belfield\, Dublin\, Ireland
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260727T140000
DTEND;TZID=Europe/London:20260727T150000
DTSTAMP:20260826T093756
CREATED:20260715T085920Z
LAST-MODIFIED:20260715T085920Z
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SUMMARY:TIA Centre Seminar Series – A Multimodal and Temporal Foundation Model for Virtual Patient Representations at Healthcare System Scale
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 Andrew Zhang from Harvard Medical School\, Boston\, USA. \nAbstract\nThe field of medical AI has traditionally focused on isolated clinical domains\, such as chest X-rays or pathology slides. These data modalities have the advantage of being plentiful\, relatively standard in format\, and information dense. But by looking at only individual snapshots of a patient’s medical journey\, are we missing the forest for the trees? Outside of the world of curated medical imaging datasets\, there are petabytes of clinical data existing in the electronic health record (EHR) as unstructured or semi-structured longitudinal events. These include diagnoses\, symptoms\, lab tests\, clinical reports\, medications\, and more\, each tied to a specific timepoint in the course of a patient’s healthcare journey. With our capacity to train increasingly larger and more powerful AI models\, the next frontier is to build a virtual patient: a model that understands and makes predictions on the entire EHR. In this talk\, I will introduce APOLLO\, a major effort towards modeling whole patients: advancing the state of the art not only in data size (25 billion events from 7.2 million patients) but also in data breadth (structured data\, clinical text\, and images) and downstream capabilities. To evaluate the potential of this model\, we created a large-scale benchmark consisting of over 300 patient retrieval and clinical forecasting tasks and showed that APOLLO patient embeddings generalize across medical domains and encode both retrospective and prognostic information about each patient. APOLLO has exciting applications not only in disease risk prediction but also as a multimodal medical search engine and unlocks the possibility of biomarker discovery from the entire EHR. \nRegister NowBio\nAndrew Zhang is a 4th-year PhD student in the Harvard-MIT Health Sciences and Technology Program\, working in the lab of Dr. Faisal Mahmood at Harvard Medical School. Prior to his PhD\, Andrew studied cell biology and computer science at Harvard. His work centers on advancing self-supervised representation learning at multiple biological and temporal scales: from encoding a single pathology slide to encoding entire longitudinal medical histories.
URL:https://www.pathologynews.com/event/tia-centre-seminar-series-a-multimodal-and-temporal-foundation-model-for-virtual-patient-representations-at-healthcare-system-scale/
LOCATION:Online
CATEGORIES:Live Online Webinar
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260728T170000
DTEND;TZID=Europe/London:20260728T180000
DTSTAMP:20260826T093756
CREATED:20260617T150045Z
LAST-MODIFIED:20260630T144743Z
UID:100122220-1785258000-1785261600@www.pathologynews.com
SUMMARY:Meet the Next Generation of Concentriq: Pathology’s AI Platform for Precision Medicine
DESCRIPTION:0000Days00Hrs00Min00SecThis webinar will start at 12pm EST\, 5pm BST\, 6pm CET\, 9am PST \nDiagnostic labs are being asked to do more than ever. Drug development teams are racing to find the right patients for increasingly complex therapies. The old playbook\, a pathology platform with AI bolted on the side\, can’t keep up. \nProscia built the next generation of Concentriq to be a different kind of platform. Concentriq Fifth Generation introduces intelligence that draws from clinical and scientific context to support experts throughout the decisions that define drug discovery and shape the future of diagnosis. \nJoin Proscia for the official first look. We’ll demo the platform live\, hear from customers on the impact\, and walk through how Concentriq helps labs deliver high-volume case reviews and R&D teams advance their programs. \nIn this session: \n\nHow Concentriq Fifth Generation brings intelligence into everyday case review and scientific workflows\nWhat pathologists\, lab leaders\, and scientists can accomplish that wasn’t possible before\nReal-world examples of intelligence accelerating case review\, lab operations\, biomarker discovery\, and clinical development\nA live look at Concentriq Fifth Generation in action\n\nWhether you’re a pathologist\, scientist\, operations leader\, or precision medicine leader\, this is the session that changes how you think about what your pathology platform can do for you. \nRegister NowSpeakers \nDavid West\nChief Executive Officer\nProscia \nColeman Stavish\nChief Technology Officer\nProscia \nDr. Cherub Kim\nDirector\, Medical Affairs and Clinical Informatics Lead\nLabcorp \nDr. Daniel Roberts\nMedical Director of Digital Pathology\nCleveland Clinic \nDr. Amanda Hemmerich\nGlobal Director of Digital Pathology Innovation\nIQVIA Laboratories
URL:https://www.pathologynews.com/event/meet-the-next-generation-of-concentriq-pathologys-ai-platform-for-precision-medicine/
LOCATION:Online
CATEGORIES:Live Online Webinar
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