Inside Concentriq: The Product Behind the Top KLAS Score
2026-04-28 16:00 - 17:00 (Europe/London) | Online
0000Days00Hrs00Min00SecThe webinar will start at 11am ET, 4pm BST
Digital Pathology Built for Real-World Practice
As 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.
Proscia 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
Join 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.
Recommended for: Pathology leaders, laboratory operations teams, IT and informatics professionals, and digital pathology leaders evaluating or expanding digital pathology programs.
Register NowPresenters

Dr. Daniel Roberts
Medical Director of Digital Pathology
Cleveland Clinic

Amanda Coble
Senior Director of Product
Proscia

Pradyuman Kodavatiganti
Senior Product Designer
Proscia

Ashley Faber
Senior Director of Product Marketing
Proscia

2026 Digital Pathology Course
2026-05-01 - 2026-05-02 | Zuckerman Research Center, 417 East 68th Street, New York, NY, United States
0000Days00Hrs00Min00SecDigital pathology is rapidly emerging as a new standard of care, enabling the scanning, review, and storage of pathology slides in a fully digital format. These digital workflows enhance patient care through rapid, reliable image retrieval; support remote review and telepathology; enable the use of computational and AI-assisted tools; and facilitate seamless sharing of cases for consultation, collaboration, and education.
Memorial Sloan Kettering Cancer Center (MSK) has been a leader in digital pathology adoption since 2006 and has digitized more than 10 million slides across multiple platforms. The operational expertise and real-world lessons learned at MSK provide a practical roadmap for institutions seeking to implement or expand digital pathology programs.
This two-day, in-person course, presented by the MSK Department of Pathology and Laboratory Medicine in collaboration with the Digital Pathology Association (DPA), will provide participants the opportunity to learn of new advances in the field as well as engage with other pathologists and researchers in field.
Objectives

Describe digital pathology history and integration in pathology practice
Explain the validation process required for clinical grade digital pathology
Discuss digital pathology role in clinical, educational and research use cases
Survey the digital pathology laboratory facilities and view digital tools used in the digital workflows
Recognize the financial cost of digital pathology implementation

Register NowProgram Highlights

Presentations and interactive discussions facilitated by MSK faculty on the practical implementation of digital pathology, including infrastructure design, workflow validation, regulatory considerations, AI-enabled tools, and operational and financial planning.
An interactive panel discussion, featuring digital pathology leaders from Memorial Sloan Kettering Cancer Center, NewYork-Presbyterian Hospital / Weill Cornell Medicine, Mount Sinai Health System, Northwell Health, and NYU Langone Health.
Optional guided tour and live demonstration of the MSK Digital Pathology Laboratory highlighting high-volume scanning operations and preanalytical workflow modifications (limited to 60 participants).
An introduction to the Digital Pathology Association.
Complimentary networking reception on Friday evening, providing an opportunity for discussion and professional connections.
An online syllabus will be made available to all attendees following the course and will include select PDFs of faculty presentation slides.

This activity is designed for pathologists and researchers interested in large-scale digital pathology operations and the clinical implementation of digital pathology and AI-enabled tools.

Advancing Precision Medicine Through Pathology and AI-Powered CDx with Indica Labs
2026-05-05 16:00 - 17:00 (Europe/London) | Online
0000Days00Hrs00Min00SecThe webinar starts at 8:00 PDT, 11:00 EDT, 16:00 BST
Learn about Indica Labs’ ability to deliver AI-driven CDx

Summary

Join 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.
Don’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.

Learning Objectives

Learn about Indica Labs’ initiatives and strategy for developing AI-powered CDx products in digital pathology
Gain insight into Indica Labs’ strategic partnership with Leica Biosystems
Discover 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
Find out about deployment options in the CE-IVDR HALO AP® platform
Understand the pathway to regulatory approval for CDx co-developed with Indica Labs and options for additional strategic partnerships

HALO 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.
Register Now
Presenters

Steven Hashagen
CEO and Founder
Indica Labs
Steven 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.
Peter Caie, PhD
Sr. Director, Precision Medicine
Indica Labs
Peter 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.
Doug Bowman (Moderator)
VP Precision Medicine
Indica Labs
Doug 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.

The Digital Pathology & AI Congress USA and American Spatial Biology Congress 2026
2026-05-07 - 2026-05-08 | Columbus, Ohio, Columbus, OH, United States
0000Days00Hrs00Min00SecOPEN LETTER:
ANIL PARWANI Professor of Pathology and Biomedical Informatics, Chair of Pathology Department, The Ohio State University
Dear Colleagues,
It is my great pleasure to offer my full support for the 12th Digital Pathology & AI Congress, co-located with the 3rd American Spatial Biology Congress, taking place on May 7–8, 2026 in Columbus, Ohio.
We are at a defining moment in the evolution of pathology. Digital pathology and artificial intelligence are no longer future concepts—they are actively reshaping how we diagnose disease, generate knowledge from tissues, and deliver precision medicine to patients. When combined with advances in spatial biology, these technologies provide unprecedented insight into tissue architecture, cellular interactions, and disease biology across scales.
At The Ohio State University, we have witnessed firsthand how digital pathology and AI can transform clinical workflows, enable computational discovery, and bridge research and patient care. From whole-slide imaging and AI-assisted diagnostics to spatial multi-omics and translational research, these tools are redefining what is possible in modern pathology. Importantly, their successful adoption depends not only on technological innovation, but also on collaboration, shared learning, and open dialogue across academia, healthcare, and industry.
This Congress brings together exactly that community. By uniting pathologists, scientists, clinicians, computational experts, and technology innovators, the meeting provides a vital forum to explore real-world implementation, regulatory considerations, and emerging scientific applications. The co-location of digital pathology and spatial biology is particularly timely, reflecting how closely these disciplines are converging to drive the next generation of precision diagnostics and therapeutics.
I am especially pleased that this meeting is being held in Columbus and in collaboration with The Ohio State University. It offers a unique opportunity to engage with leaders while showcasing how integrated digital and spatial approaches are being applied in both research and clinical settings.
I look forward to participating in the Congress and to delivering the keynote address, “Journey to Precision Pathology: The Role of Digital Pathology and AI.” I strongly encourage colleagues across pathology, biomedical research, and industry to join us for what promises to be an impactful and forward-looking event.
I hope to see you in Columbus in May 2026.
Anil Parwani
Register Here

TIA Centre Seminar Series – Computational Pathology for Discovering Biomarkers of Immunotherapy Response in Advanced Melanoma
2026-05-11 14:00 - 15:00 UTC | Online
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.
This seminar features Dr Mark Schuiveling from UMC Utrecht, the Netherlands.
Abstract
Immune 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.
Register NowBio
Mark 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.

Edinburgh: Transforming Digital Pathology & AI: The Path Forward
2026-05-14 09:00 - 17:00 UTC | Scottish Gas Murrayfield Stadium, Edinburgh, United Kingdom
0000Days00Hrs00Min00SecThis event that brings together researchers, clinicians and industry specialists to examine the current and emerging role of digital pathology and artificial intelligence in diagnostic practice.
Recent developments in whole slide imaging, computational pathology and AI-based analysis are reshaping diagnostic practice and research. This programme brings together methodological, translational and clinical perspectives to examine how these approaches are being developed, validated and introduced into routine pathology workflows.
The conference will focus on the practical realities of implementation, including digital infrastructure, regulatory requirements, model validation and workforce readiness. Sessions will address how healthcare systems are managing adoption at scale, and what is needed to move from pilot studies to reliable clinical use.
Ethical, legal and governance issues form a core part of the programme, with dedicated discussion on transparency, accountability and responsibility in AI-supported diagnosis.

What to expect

Case studies and presentations from the experts on applications of AI in digital pathology
8 CPD Points
Live interaction with senior speakers
Panel discussions
Exhibition
Agenda geared towards networking and close collaboration
1-2-1 Partnering Meetings
Keynote across a sit down breakfast
Hands-on product/software demos from the industry’s leading tech providers
Evening drinks reception and canapés

Register Now

Association of Pathology Informatics (API) Summit 2026
2026-05-18 - 2026-05-21 | Renaissance Minneapolis Hotel, The Depot, Minneapolis, United States
0000Days00Hrs00Min00SecWhat is the API Summit?
The API Summit continues its proud tradition of convening the foremost thought leaders and innovators in clinical laboratory and anatomic pathology informatics.
Each year, the Summit offers a comprehensive program of forward-thinking sessions across disciplines, including:
• Laboratory Medicine
• Anatomic Pathology
• Digital Imaging and Machine Vision
• Molecular and Genomic Pathology
• Operations and Business Analytics
• Education and Training
• Artificial Intelligence and Machine Learning
• Regulatory Issues and Standards
• And much more…
As digital pathology advances and laboratory-driven precision medicine transforms clinical practice, pathology informatics has become the central nervous system of modern healthcare. It governs how diagnostic data is generated, analyzed, and shared—directly shaping the flow of patients through the therapeutic process. From the moment a specimen is collected to the initiation of a targeted treatment plan, informatics ensures that information moves accurately, securely, and efficiently. The efficiency of this flow is essential to quality, impacting everything from diagnostic turnaround time to clinical decision-making and patient outcomes.
Register NowTarget Audience
Physicians, Physician Assistants, Administrators, House Officers, Medical Students, Technicians, and Other Healthcare Professionals
General Conference Objectives
• Define the rapidly evolving field of Digital Pathology and explore opportunities for accelerated adoption of new workflow models leveraging machine learning, artificial intelligence, and integrated hardware solutions.
• Discuss foundational principles of business analytics, computational pathology, and AI integration to support diagnostic excellence and operational efficiency.
• Identify and evaluate software and hardware innovations through direct engagement with leading exhibitors.
• Recognize the technical, regulatory, and organizational requirements to successfully deploy informatics solutions in the clinical diagnostic environment.
• Present new research and scientific innovations in pathology informatics through competitive abstract sessions.
• Provide fundamental informatics education for residents and fellows.
• Deliver updated best practices in digital pathology validation and primary diagnosis.
• Explore methods to deploy and sustain large language models (LLMs) for clinical, educational, and research use.
Learning Outcomes
After completing this activity, participants will be able to:
1. Identify key trends in data science as applied to digital pathology and laboratory medicine.
2. Create new opportunities for data management, interoperability, and collaboration within healthcare enterprises
3. Strengthen their clinical informatics and operational efficiency competencies.
4. Initiate machine learning and AI tool development in their departments or divisions.
5. Identify and foster mentorship opportunities in pathology informatics.
6. Develop and expand research collaborations that drive innovation and precision diagnostics.
7. Understand how informatics-driven patient flow enhances the quality and timeliness of diagnosis and treatment.

HIMSS Europe 2026
2026-05-19 - 2026-05-21 | Bella Center, Copenhagen, Center Boulevard 5, Copenhagen, 2300, Denmark
0000Days00Hrs00Min00Sec

EXPERT INSIGHTS, EXCEPTIONAL IMPACT

HIMSS26 Europe is more than just a conference—it’s a movement toward smarter, more efficient healthcare. Whether you’re looking to understand emerging tech trends, improve your organization’s digital readiness, or discover real-world applications of health IT, HIMSS26 Europe puts you at the center of healthcare’s digital evolution.

Whether you’re a healthcare provider, technology innovator, policy maker or business leader, HIMSS26 Europe is your gateway to the latest insights on how digital transformation is revolutionizing patient care, operational efficiency and overall health outcomes. Don’t miss our visionary keynotes, hands-on workshops and unparalleled networking opportunities.
In Copenhagen, we’ll explore the latest trends, solutions and strategies in health tech. With insightful keynotes, hands-on workshops and unparalleled networking opportunities, this event is designed to accelerate your understanding of digital maturity in healthcare—and how you can leverage it to stay ahead of the curve.

Why attend:

Explore Groundbreaking Innovations
Hear from Global Experts
Make New Connections
Gain Actionable Insights

Register Now

NPIC Digital Pathology Webinar Series - Innovation into Practice – NPIC Overview and Laboratory Implementation.​
2026-05-19 15:00 - 16:00 (Europe/London) | Online
0000Days00Hrs00Min00SecThe National Pathology Imaging Co-Operative (NPIC)continues an exciting new series of free educational webinars on digital pathology topics.

Learn 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! ​
Suitable for pathologists, biomedical scientists, informatics and IT professionals, managers and industry representatives.​

​In this session:​​

Get an update of the NPIC national digital pathology PACS system in the NHS and the associated NPIC Secure Data Environment.​
Find out how you can join NPIC and get involved.​
Learn about digital implementation in the laboratory, including practical considerations and tips for successful deployment.

Register NowPresenters
Prof Darren Treanor
NPIC Programme Director
NPIC

Shamila Jabbar
NPIC Lead Biomedical Scientist
NPIC

Dr Bethany Williams
NPIC Knowledge and Skills Lead
NPIC

Two-part Webinar Series: Human Brilliance, Augmented: Mastering Medical Information Overload with RAG and Second Brains. - Part 1
2026-05-19 15:00 - 16:00 (Europe/London) | Online
0000Days00Hrs00Min00SecThis webinar will start at 3pm BST, 10am EST
In 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.
Episode 1 – The Cognitive Copilot: Taming Information Overload
Part 1 – The Problem: Information Overload in Medicine
The 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.
Part 2 – Grounded AI: Retrieval-Augmented Generation at Scale
Pathology Outlines
MyPathologyReport.com Osler
Brief overview of NotebookLM as an accessible entry point for source-grounded AI.
Part 3 – The Second Brain: Building a Living Knowledge Ecosystem
The second brain concept: moving beyond simple PDF querying to a comprehensive, interconnected knowledge graph linking diagnoses, IHC panels, molecular testing, and case notes.
Demo of the daily workflow — capturing, linking, and retrieving knowledge at the point of need.
LLM-KB-Wiki: the emerging approach (inspired by Andrej Karpathy) of giving an LLM the structured index of your knowledge base rather than traditional RAG.
Local LLM deployment via Ollama on Mac Studio (M4 Max, 128GB) — guaranteed patient privacy, zero-cost inference.
Multi-agent systems interacting with customized wikis as a tailored diagnostic co-pilot.
*All sessions will be presented in English.
Register NowSpeakers
Dr Soufiane Akdad & Dr Matthew Cecchini

Masterclass: Performing Spatial Analysis Workflows with HALO®
2026-05-19 16:00 - 17:00 (Europe/London) | Online
0000Days00Hrs00Min00SecThe webinar will start at 8:00 PDT, 11:00 EDT, 16:00 BST
Learn how to unlock deeper insights and enhance your data using the HALO Spatial Analysis module
Summary
The 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.
David 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.

Learning Objectives

Learn how to prepare and use cell and object data for spatial analysis in HALO
Run and understand key spatial analysis tools, including nearest neighbor, proximity, infiltration, and density heatmaps
View and adjust spatial results using plots and markup images
Run analyses on multiple images, save settings, and export results for further use

Register Now
Presenter

David Cordover
Field Applications Scientist
Indica Labs
David 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.

In Situ Hybridisation and Spatial Omics 2026
2026-05-20 08:00 - 2026-05-21 18:00 UTC | Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, CB2 0RE, United Kingdom
0000Days00Hrs00Min00SecJoin Cancer Research UK Cambridge Institute for a two-day symposium exploring the latest advances in in situ hybridisation and spatial omics – technologies that are transforming our understanding of cellular architecture, gene expression, and tissue microenvironments.
Sessions:

Advancing In Situ Hybridisation Technologies
ISH in Disease Diagnostics and Therapeutics
3D Models and ISH in Complex Biological Systems
The Future of Spatial Biology: Integrating ISH with Multiomics and AI

Register Now

International Spatial Biology Congress 2026
2026-05-27 - 2026-05-28 | Rotterdam, The Netherlands, Rotterdam, Netherlands
0000Days00Hrs00Min00SecIn this rapidly developing field, spatial biology provides significant potential for creating novel clinical insights. Recent technological advancements in spatial biology have provided insights into new strategies to prevent and treat disease, particularly the interactions between the tumor and the tumor microenvironment in cancers to target patients to more specific treatments. New spatial research is focusing more on spatial omics integration, spatial metabolomics becoming more prominent, how to tackle spatial data analysis and benchmarking, and the applications of AI within spatial biology.
The conference is structured around three core areas, Spatial Multiomics Studies and Techniques, Bioinformatics and Computational Tools for Spatial Data Analysis and Applications of Spatial Biology in Disease and Drug Development. There is an expanded focus on data analysis in response to delegate feedback. Sessions place particular emphasis on understanding, analysing, and standardising spatial data, alongside advances in subcellular and spatial–temporal biology. As the field moves beyond broad molecular mapping, talks now explore finer-scale perspectives, including three-dimensional interactions and the dynamic behaviour of molecules within cells and tissues.
The programme highlights both technological innovation and the expanding application of spatial biology beyond oncology. Topics include the integration of spatial biology with mass spectrometry, enabling detailed proteomic analysis at the subcellular level, as well as emerging approaches in spatial transcriptomics, epigenomics, and metabolomics. Case studies span rare skin disease, neuroscience, neurodegeneration, and cardiovascular disease, supported by increasing engagement from the pharmaceutical sector. A strong keynote lineup brings together leading academic and industry experts to offer insight into the future direction of the field.
Register Now

ASCO 2026
2026-05-29 - 2026-06-02 | McCormick Place, Chicago, Chicago, IL, United States
0000Days00Hrs00Min00SecThe 2026 ASCO Annual Meeting Program will feature over 200 sessions complementing Dr. Eric Small’s Presidential theme, The Science and Practice of Translation: Improving Cancer Outcomes Worldwide. For a quick guide of sessions view the “Sessions at a Glance” (schedule as of April 22, 2026).
Your all-access pass to the most clinically relevant cancer science.
#ASCO26 session highlights include:

Plenary Session, featuring the meeting’s most practice-changing and clinically relevant abstract presentations and discussions
Opening Session, featuring the Presidential Address and Karnofsky Award and Lecture
ASCO Voices
23 Oral Abstract Sessions, 25 Rapid Oral Abstract Sessions, and 13 Clinical Science Symposia, featuring over 450 oral abstract presentations
15 Case-Based Panels, featuring interactive audience polling
Joint Sessions with AACR, ASPO, and ECO
Over 2,700 Poster presentations, including Trials in Progress

Register Now

TIA Centre Seminar Series – Co-evolving Computational Pathology: From Interactive Foundation Models (VISTA-PATH) to Agentic Medical Image Analysis (TissueLab)
2026-06-01 14:00 - 15:00 (Europe/London) | Online
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.
This seminar features Dr Peixian Liang and Songhao Li from the University of Pennsylvania, USA.
Abstract
Computational 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.
Register NowBio
Peixian 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.

UK Imaging and Oncology Congress 2026
2026-06-08 - 2026-06-10 | ACC Liverpool, Kings Dock, Liverpool Waterfront, Liverpool, L3 4FP, United Kingdom
0000Days00Hrs00Min00SecUKIO 2026 will take place in Liverpool on 8-10 June with the theme Putting humanity at the centre of healthcare: In the age of the machine which will focus on how we ensure – as technology rapidly transforms the face of healthcare – we continue to place the human experience at the heart of it – both patients and the teams who deliver diagnosis, treatment, and care.
As the UK’s largest imaging and oncology event, UKIO continues to be the place to come for cutting-edge, practice-based content for a multidisciplinary audience, to join up with like-minded professionals, to gain up to three days of CPD, and to visit a large professional exhibition of the latest state-of-the-art equipment, services and technology.
It will feature:

A truly multidisciplinary programme put together by an expert working party – for everyone working in diagnostic imaging, oncology and radiological sciences.
Exciting plenary sessions.
Dedicated sessions for trainees and students.
Lots of hands-on and case-based workshops.
Curated sessions on innovation, technology and service delivery in collaboration with industry partners and further added value content from the Education on the Stands programme.
Research at the heart – with proffered papers sessions, ePosters, the return of the Research hub and the Pitch your Project initiative.

And new developments for 2026 will include:

A dedicated stream throughout the congress for radiologists, providing all the updates you’ll need for on call and delivering DGH radiology.
A new look stream for radiology trainees.
Further development of the radiotherapy hub in the exhibition.

Register Now

SIIM26 Annual Meeting
2026-06-10 - 2026-06-12 | Pittsburgh, PA, USA, Pittsburgh, PA, United States
0000Days00Hrs00Min00SecRediscover your drive. Reconnect with your peers. Reinvest in your career.
At SIIM26 in Pittsburgh, explore forward-thinking education, hands-on innovation, and meaningful networking with imaging informatics leaders. From cutting-edge research to real-world strategies, it’s the conference that moves your work—and the field—forward.
Experience world-class education, unbeatable networking, and breakthrough innovations you won’t find anywhere else. Don’t just keep up with change—be at the center of it.

Education That Transforms

Learn from the leading innovators in medical imaging informatics. Discover groundbreaking research, explore forward-thinking solutions, and experience program packed with insights and opportunities that no imaging informaticist should miss.

InformaticsTECH Expo – Powering the Future of Enterprise Imaging Informatics

Step into the hub of innovation and explore groundbreaking technologies transforming healthcare. Connect with leading industry experts, discover disruptive solutions, and find partners who can help you drive solutions to complex challenges.

Grow Your Network, Grow Your Impact

At SIIM26, you’ll have countless opportunities to create meaningful connections through energizing hallway chats, special networking events, or finding common ground with leading experts and fellow peers. Discover friendships, collaboration opportunities, and career-boosting relationships that can shape your future.

Register NowGet your SIIM-DPA Bridge Pass: SIIM26 + PV26

49es Assises de Pathologie
2026-06-11 - 2026-06-12 | Palais des Congrès du Touquet-Paris-Plage, Touquet-Paris-Plage, France
0000Days00Hrs00Min00SecThe 49th Assises de Pathologie is one of France’s leading pathology meetings, bringing together pathologists, researchers, and industry professionals for two days of scientific exchange, education, and networking. Taking place on 11–12 June 2026 in Le Touquet-Paris-Plage, the conference offers a comprehensive programme of lectures, case-based discussions, poster presentations, and industry symposia focused on current challenges and advances in diagnostic pathology.
The theme of the 2026 edition, “Dysplasias and Colitis: The Stresses of the Digestive Tract,” will explore the diagnosis, management, and pathology of gastrointestinal diseases, with particular emphasis on inflammatory bowel disease, dysplasia, and related diagnostic challenges. The event provides a valuable opportunity for attendees to learn from leading experts, discover new technologies, and engage with the wider pathology community.
Organization under the aegis of the French Division of the International Academy of Pathology chaired by Prof. Cécile BADOUAL, organized by Prof. Denis CHATELAIN (Amiens-Picardy University Hospital), Dr. Thomas PETIT (i-PatH Group, Amiens) and Dr. Philippe CAMPARO (i-PatH Group, Amiens).
Register Now

Two-part Webinar Series: Human Brilliance, Augmented: Mastering Medical Information Overload with RAG and Second Brains. - Part 2
2026-06-11 14:00 - 15:00 (Europe/London) | Online
0000Days00Hrs00Min00SecThis webinar will start at 2pm BST, 9am EST
In 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.
Episode 2 – The Augmented Lab: From Education to the Grossing Room
Part 4 – Transforming Medical Education
Generating 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.
Part 5 – The Augmented Pathology Workflow
How 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.
*All sessions will be presented in English.
Register NowSpeakers
Dr Soufiane Akdad & Dr Matthew Cecchini

Aligning Display Expectations in Digital Pathology: Research Insights, Tips and Tricks
2026-06-11 15:00 - 16:00 (Europe/London) | Online
0000Days00Hrs00Min00SecThis webinar will start at 10AM EDT, 7AM PDT, 8AM MDT, 4PM CET, 3PM BST
Digital pathology workflows – whether diagnostic or for research purposes – depend on what you can see, how consistently you can see it, and how confidently you can act on it. In this webinar, Amanda Hemmerich (IQVIA Laboratories) and Tom Kimpe (Barco) discuss display-related considerations for digital pathology and reflect on findings from a recent peer-reviewed article they published together with ADC Therapeutics.
What we’ll cover in this webinar

Key display considerations in digital pathology
How study insights can inform expectations and decision-making
Practical questions to ask yourself when evaluating displays for your lab environment

The webinar is ideal for…
Pathologists, lab managers, researchers and anyone involved in managing whole slide imaging workflows
Register NowPresenters
Amanda Hemmerich
Global Director of Digital Pathology Innovation
IQVIA Laboratories
Board certified in anatomic and clinical pathology and cytopathology, Dr Amanda Hemmerich leads the global digital pathology strategy, including implementation of end-to-end workflows that meet regulatory standards and partnerships with image analysis vendors. She also assists with testing at the Genomics Center of Excellence and the Anatomic Pathology Translational Science and Innovation Laboratory in the Raleigh-Durham area of North Carolina. Dr Hemmerich has expertise in developing digital pathology techniques, managing large-scale pathology services, test validation and operationalisation.
Tom Kimpe
VP Technology & Innovation
Barco
Tom Kimpe holds a Master of Science degree in computer science engineering, a Ph.D. in electrical engineering/medical imaging from Ghent University, and an MBA from the Vlerick Management School in Belgium. He is inventor of several patents, and (co-)author of tens of scientific publications in the domain of medical imaging & displays, visualization, human vision perception, quality assurance and calibration, optics, image processing and artificial intelligence. Dr. Kimpe leads Barco’s healthcare innovation activities, collaborating with universities, research institutes, hospitals, and medical device companies.

What is New in HALO®, HALO AI, and HALO Link 4.3?
2026-06-11 16:00 - 17:00 (Europe/London) | Online
This webinar will start at 8:00 PDT, 11:00 EDT, 16:00 BST
Learn about the exciting new features in the 4.3 versions of HALO, HALO AI, and HALO Link!
Summary
Join Indica Labs for an exciting webinar highlighting the latest innovations in HALO, HALO AI, and HALO Link 4.3. In this new version, users can create clean independent slide copies, enabling blinded workflows without duplicating the image on the storage drive. Users will also experience smoother viewing of svs images with the support of native cloud storage for this image type.
In HALO 4.3, object data generated in different analysis modules can be customized to display and save only what the user needs. Quality of life improvements include enhancements in real-time display of annotation dimensions, improved notifications, and display of additional metadata for ome.tiff images. Additionally, the HALO High Dimensional Analysis module has been updated to include interactive links between feature heatmaps and images, assisting cluster identification via easier selection and display of the cells in each cluster.
HALO AI 4.3 offers per-class reporting of phenotypes from a masking/phenotyper pipeline eliminating the need for modules to generate this type of result. In addition, users can batch launch training sessions and view cross entropy values across sessions, capabilities that can streamline and inform classifier training.
In version 4.3, HALO Link supports large studies containing tens of thousands of images with performant slide navigation and image viewing. The new capability to add slides to studies directly from search accelerates study creation in version 4.3. For admins, configurable system-level task management—with visual workflow tracking—and bulk user actions simplify user management and save time, especially when managing larger teams.

Learning Objectives

Learn about the new slide copy workflow with independent slide copies
Learn about the per–class reporting of phenotyper results in HALO AI masking/phenotyper pipelines
Learn about improved performance with large studies in HALO Link
Learn about system–managed customizable tasks

Register Now
Presenter

Dr. Noemi Kedei
Director of Product, Life Sciences
Indica Labs
Noemi Kedei earned an MD degree from University Medical School of Debrecen, Hungary. She did her postdoctoral training and worked later as a staff scientist in the Laboratory of Cancer Biology and Genetics, NCI. Her research focused on identifying mechanisms involved in the differential effects of natural compounds and their engineered derivatives acting on protein kinase Cs (PKCs), validated targets for anti-cancer treatment. In 2018 she joined the Collaborative Protein Technology Resources (OSTR, CCR, NCI) core facility to implement a variety of spatial protein and transcriptomics technologies, and lead related operations as services to NCI investigators. Noemi provided expertise for development of project based customized antibody protein panels for detection of 40-60 protein targets at single cell level in tissue sections using the CODEX/Phenocycler fusion technology, and ensured optimal and efficient instrument use. In addition, she advised and supported users on tools for quantitative image analysis combining different AI-enabled HALO modules and NCI developed pipelines for downstream analysis. Noemi joined Indica Labs as Director of Product – Life Sciences in May, 2025.

Powering ADC Development with the New HALO® ADC Target Scoring Module
2026-06-16 16:00 - 17:00 (Europe/London) | Online
0000Days00Hrs00Min00SecThis webinar will start at 8:00 PDT, 11:00 EDT, 16:00 BST
Learn about the new HALO module designed to streamline analysis for ADC-focused assays

Summary

In this webinar, Indica Labs will discuss advancements in antibody-drug conjugates (ADC) therapies and the growing need for reproducible methods to quantify expression and spatial context. This presentation introduces the ADC Target Scoring analysis module in HALO®, designed to streamline analysis for ADC-focused assays.
By integrating AI membrane and nuclear segmentation with built-in spatial analysis, the ADC Target Scoring workflow enables Quantitative Continuous Scoring (QCS) strategies. Expanded membrane compartment detection and additional optical density metrics provide data for bioinformatic pipelines, supporting analysis of varied membrane and cytoplasmic staining patterns relevant to ADC biology.
Attendees will gain insight into how simplified inputs and AI detection reduce manual tuning. A live demonstration will guide participants through the full workflow, including cell segmentation, Threshold Assist, customization of object-level outputs, and visualization of quantitative and spatial results.

Learning Objectives

Explore how antibody-drug conjugate (ADC) assays are reshaping targeted therapies, and how quantitative image analysis can inform development and response prediction
See how Indica Labs’ new ADC Target Scoring module bridges image analysis and downstream data interpretation
Understand how AI segmentation and integrated spatial analysis enables QCS approaches
Walk through a complete workflow in HALO, from cell segmentation and Threshold Assist to customizable outputs and result visualization

Register Now
Presenter

Emily Gamble
HALO Analysis Product Manager
Indica Labs
Emily Gamble has a background in education and neuroscience. She received her M.S. in Neuroscience from Tulane University in New Orleans, LA. Emily joined the Product Management team at Indica Labs as the HALO Product Specialist in 2020 and was promoted to her current role as HALO Analysis Product Manager in 2025. Emily works closely with customers and software engineers at all stages of product development to enhance the image analysis experience across the range of HALO modules.

22nd European Congress on Digital Pathology 2026 | ECDP2026
2026-06-17 - 2026-06-20 | Messecongress Graz, MESSEPLATZ 1, Graz, A - 8010, Austria
0000Days00Hrs00Min00SecContinuing ESDIP’s tradition of fostering a dynamic, interdisciplinary community, ECDP2026 will bring together experts from pathology, computer science, molecular biology, clinical medicine, and industry. The congress will serve as a platform for scientific exchange, hands-on experiences, and strategic discussions around the rapidly evolving field of Digital and Computational Pathology.
The 2026 edition will focus on the real-world integration of digital pathology into routine diagnostics, emphasizing the convergence of whole slide imaging, AI-driven tools, and molecular profiling in clinical workflows. Special emphasis will be placed on the role of standardized data infrastructures and the seamless integration of digital tools into clinical practice.
ESDIP remains committed to advancing education, innovation, and collaboration in digital pathology. ECDP2026 will reflect this mission through carefully curated sessions, interactive formats, and international participation.
Register NowThe ECDP2026 focus areas will include (but are not limited to):

Integrative Diagnostics – Studies that merge Pathology and other specialties/domains
AI Agents – Examples of early applications of the AI Agents in Pathology
Machine Learning and Algorithm Development – Studies focused on the creation and optimization of ML algorithms tailored to Pathology
ML and AI applications – Examples of ML/AI applications in pathology subfields (e.g. breast, lung, renal, head and neck and cytopathology)
Digital Pathology Workflow Implementation – Strategies and best practices for deploying digital pathology solutions
Quality Assurance – Studies related to the development and application of QA tools in the digital workflow
Interoperability in Digital and Computational Pathology – Data standardization, compatibility of digital imaging formats, and cross-platform functionality
Spatial and 3D pathology – Studies regarding the application of spatial and 3D pathology
Virtual staining – Development and application of virtual staining techniques in pathology
Structured Reporting – Digital Pathology/AI & structured reporting
Bias in AI – Data and other bias in AI applied to Pathology
Ethics and Regulation – Ethical and regulatory aspects in digital and computational pathology
The Odd Couple – Special session where we are looking for joint presentations showcasing the joint effort across disciplines (e.g. 1 Pathologist / 1 Computer scientist; 1 Pathologist / 1 Biomedical Scientist / etc.). The topic should fit one of the previous categories

In this last category, for the third year, the ECDP2026 organization will allow authors to present their work together. This is an innovative format that aims to bring together interdisciplinary teams (pathologists and computer scientists/ pathologists and lab technicians / etc.).

How Close Are We to Personalized Treatment Decisions with Causal Machine Learning?
2026-06-22 14:00 - 15:00 (Europe/London) | Online
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.
This seminar features Octavia Ciora and Maresa Schröder from LMU Munich, Munich, Germany.
Abstract
Understanding the efficacy and safety of treatments is crucial for optimizing patient outcomes. However, patients respond differently to the same treatment due to biological, clinical, or contextual factors, which highlights the need for personalized clinical evidence to guide treatment decisions. Causal machine learning offers a promising way to do so by combining causal inference principles with flexible ML models to estimate personalized treatment effects. In this talk, we present findings from a scoping review of 70 clinical studies applying causal machine learning in personalized medicine. We assessed 41 key methodological choices, including clinical context, model, validation, heterogeneity analysis, and clinical translation. We show how these causal ML is currently used, how their results are validated, and where important gaps remain. Finally, we propose a validation framework with methodological recommendations to promote reliable clinical evidence generation.
Register NowBio
Octavia Ciora is a second-year PhD student in computer science at LMU Munich, supervised by Prof. Stefan Feuerriegel. She holds bachelor’s and master’s degrees in bioinformatics from the Technical University of Munich and LMU Munich. Her research lies at the intersection of causal machine learning and healthcare. Her work focuses on developing machine learning-based frameworks for clinical decision-support, treatment effect estimation from electronic health records, and personalized treatment recommendations for oncology. Maresa Schröder is a final-year PhD student in computer science at LMU Munich, supervised by Prof. Stefan Feuerriegel. She holds a mathematics master’s degree from the Technical University of Munich and bachelor’s degree in economics and mathematics from the University of Mannheim. Her research interest lies in causal machine learning with a special focus on reliable treatment effect estimation, such as the development of uncertainty quantification and robust estimation methods while ensuring ethical constraints. Furthermore, she is interested in developing advanced causal methods for medical applications and strategic decision-making.

From Images to Insights: Getting Started with RNAscope™ Image Analysis in HALO®
2026-06-25 16:00 - 17:00 UTC | Online
0000Days00Hrs00Min00SecThis webinar will start at 8:00, PDT, 11:00 EDT, 16:00 BST
Discover commonly used tools to get started today with RNAscope™ image analysis in HALO®

Summary

Join us for this 1-hour webinar to learn about the latest RNAscope™ assays from Bio-Techne Spatial and to see a live demonstration of RNAscope™ image analysis using the HALO® platform from Indica Labs. This webinar will demonstrate how to effectively leverage HALO’s ISH and FISH modules for RNAscope analysis, as well as how to leverage neural networks in HALO AI to improve cell segmentation and classify tissue regions. In addition, select HALO modules and workflows that are commonly used with RNAscope™ image analysis will be demonstrated. Attendees will leave with practical guidance and best practices for building scalable, reproducible RNAscope analysis workflows in HALO, making this session ideal for researchers and core facilities working with both brightfield and fluorescence assays.

Learning Objectives

Overview of the RNAscope technology, key assays and applications
Learn about HALO modules for brightfield and fluorescent RNAscope™ image analysis
Discover how HALO AI advances RNAscope™ image analysis with superior nuclear segmentation and custom tissue classification
Learn about HALO tools commonly used in RNAscope™ analysis such as the TMA (Tissue Microarray) Module and the Spatial Analysis module

Register Now
Presenters

Spencer Revill, MSc
Field Applications Scientist
Indica Labs
Spencer Revill is a Field Application Scientist at Indica Labs supporting digital pathology and image analysis with a background in biotechnology and medical sciences. Prior to joining Indica, he managed a translational research core facility and conducted graduate research in lung pathology using digital image analysis. Spencer now works closely with customers to support evaluations, proof‑of‑concept studies, and adoption of HALO, HALO AI, and HALO Link across a wide range of research applications. His work focuses on helping researchers translate complex image data into reliable, reproducible insights using digital pathology.
Anushka Dikshit, PhD
Senior Manager, Spatial Biology Applications
Bio-Techne
Anushka is a Senior Manager and group leader for the Applications Marketing Management team at Bio-Techne Spatial with background in cancer research and immuno-oncology. Anushka and her team are focused on expanding the applications of the RNAscope technology across different research areas through internal and external collaborations. Prior to working for Bio-Techne, she was involved in identifying novel therapeutic targets for melanoma as a postdoctoral fellow at Duke University. She obtained her doctoral degree from Southern Illinois University, School of Medicine in Molecular Physiology.

TIA Centre Seminar Series – Pathology Foundation Models for Text-prompted Segmentation and Precision Oncology
2026-06-29 14:00 - 15:00 (Europe/London) | Online
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.
This seminar features Dr Junlin Hou from The Hong Kong University of Science and Technology, Hong Kong.
Abstract
Computational pathology is rapidly moving from task-specific image analysis toward foundation models that enable scalable, generalizable disease diagnosis and clinical decision support. In this talk, I will first present our recent work, PathSegmentor, a foundation model that enables flexible, text-prompted segmentation across diverse pathological entities. Beyond segmentation, I will also provide an overview of our broader efforts in pathology foundation models, including image enhancement, whole-slide representation learning, benchmarking, and agentic AI systems. These works aim to advance computational pathology toward more precise, interpretable, and clinically useful AI for precision oncology.
Register NowBio
Dr. Junlin Hou is a Post-doctoral Fellow in the Department of Computer Science and Engineering at The Hong Kong University of Science and Technology (HKUST). She obtained her Ph.D. from the School of Computer Science at Fudan University in 2023. She has published 30+ papers in top-tiered journals and conferences, including Nature Computational Science, Nature Biomedical Engineering, IEEE TMI, MICCAI, CVPR, etc. She has served as a guest editor for CMIG and J. Imaging, and as a reviewer for 15+ journals and conferences. She also led the team winning 10+ medical grand challenges. Her current research interest is in trustworthy medical AI and computational pathology.

Pathologist and AI: A Collaboration in Practice
2026-06-29 15:00 - 16:00 (Europe/London) | Online
0000Days00Hrs00Min00SecThis webinar will begin at 4:00 pm CEST, 5:00 pm EEST, 10:00 am EDT, 3:00 pm BST
Even the most accurate AI models only fulfill their full potential when they fit seamlessly into a pathologist’s daily practice. That’s why we explore the collaboration of the pathologist and the AI in the upcoming webinar. The conversation around AI in pathology fixates on the algorithm — but the real difference is made in how the pathologist and the AI work together.
During this session, Pathologist and Aiforia’s Medical Director, Richard Doughty, will discuss:

Better together: why the AI–pathologist collaboration matters more than the AI itself
AI and pathologists, side by side — see how it’s done
Real labs, real results — how AI is being used today, with practical examples from real-world sites
A live case, worked in real time

This webinar will give a clear, practical view of what good AI–pathologist collaboration actually looks like.
Register NowSpeakers

Richard Doughty, DVM, MD, MSc, Medical Director, Aiforia Technologies

Consulting pathologist at Oslo University Hospital
Medical doctor and specialist in pathology with extensive diagnostic experience.
Qualified veterinarian with pathology expertise in pharmaceutical research and development.

Emilia Lönnberg, Commercial Product Manager, Aiforia Technologies

Has worked at Aiforia for 4 years
MSc in life science technologies from Aalto University, major in human neuroscience

NPIC Digital Pathology Webinar Series - Innovation into Practice - From Research to Real-world Impact: AI and Innovation at NPIC.
2026-06-30 15:00 - 16:00 (Europe/London) | Online
0000Days00Hrs00Min00SecThe National Pathology Imaging Co-Operative (NPIC) continues an exciting new series of free educational webinars on digital pathology topics.​​

Learn 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!​
Suitable for pathologists, biomedical scientists, informatics and IT professionals, managers and industry representatives.​

​In this session:

Discover advances in research and innovation in digital pathology and AI.
Find out more about NPIC’s multi-scanner research facility and the AI-FORGE platform.
Gain insights into supporting collaboration, enabling real-world research, and building the foundations for the future of AI-enabled pathology.

Register NowPresenters
Dr Daljeet Bansal
NPIC Operations Director

Dr Matthew Humphries
NPIC Head of Research

Dr Bethany Williams
NPIC Knowledge and Skills Lead

Path360 2026: The Convenzis NHS Pathology Strategy Conference South
2026-07-07 08:30 - 18:30 UTC | etc.venues, Prospero House, London, 241 Borough High St, London, SE1 1GA, United Kingdom
0000Days00Hrs00Min00SecClinical Diagnostics & Medical Sciences
Pathology 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.
Key Topics:

Digital pathology and AI-driven diagnostics
Addressing staff shortages and training needs
The future of pathology networks
Improving turnaround times and service integration
Investment and funding for pathology services

Register NowWhy Attend?
This 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.

Advances in Screening and Early Detection in Urological Oncology
2026-07-08 | Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, United Kingdom
Advancing Urology Diagnostics Through Clinical Innovation
Join Source Cambridge Clinical Laboratories for an exclusive evening of education, discussion, and networking focused on the evolving landscape of urology diagnostics and patient care.
This 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.
Expert 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.
The 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.
Spaces will be limited. Register your interest early to receive further event updates and priority access once registration opens.
Register Now
