BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Pathology News - ECPv6.16.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Pathology News
X-ORIGINAL-URL:https://www.pathologynews.com
X-WR-CALDESC:Events for Pathology News
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/London
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20261025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20270328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20271031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20250101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260202T140000
DTEND;TZID=Europe/London:20260202T150000
DTSTAMP:20260828T230504
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
ATTACH;FMTTYPE=image/png:https://www.pathologynews.com/wp-content/uploads/2026/01/TIA-Centre-Seminar-Series-–-Computational-Pathology-Before-and-After-the-Foundation-Model-Era.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260210T110000
DTEND;TZID=UTC:20260210T120000
DTSTAMP:20260828T230504
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
ATTACH;FMTTYPE=image/png:https://www.pathologynews.com/wp-content/uploads/2026/02/TIA-Centre-Seminar-Series-–-Multiomic-Spatial-Profiling-and-Artificial-Intelligence-The-Next-Generation-in-Diagnostic-Haematopathology.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260219T160000
DTEND;TZID=Europe/London:20260219T170000
DTSTAMP:20260828T230504
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
ATTACH;FMTTYPE=image/png:https://www.pathologynews.com/wp-content/uploads/2026/01/GraphQL-API_PN800x600.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260223T140000
DTEND;TZID=UTC:20260223T150000
DTSTAMP:20260828T230504
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
ATTACH;FMTTYPE=image/jpeg:https://www.pathologynews.com/wp-content/uploads/2026/02/tia-centre-800x600-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260224T080000
DTEND;TZID=UTC:20260224T090000
DTSTAMP:20260828T230505
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
ATTACH;FMTTYPE=image/png:https://www.pathologynews.com/wp-content/uploads/2026/02/Modernizing-Pathology-Beyond-Digital-Pathology-to-Digital-Health.png
END:VEVENT
END:VCALENDAR