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

QC at Scale: Moving Beyond Manual Review in Digital Pathology
2026-07-08 09:00 - 10:00 (Europe/London) | Online
0000Days00Hrs00Min00SecThis webinar will start at 10AM EDT, 7AM PDT, 4PM CET, 9am BST
As 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.
This 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.
What you’ll learn

Why manual QC breaks down at scale — and the hidden costs when it fails
How automated QA improves speed, consistency, and workflow efficiency across your lab
Why image quality is the foundation of every successful digital pathology and AI strategy

This webinar is ideal for…
Lab managers, QC staff, researchers and anyone involved in managing whole slide imaging workflows and their quality control
Register NowSpeaker
Katherine LatimerProduct Manager Digital PathologyBarco
Kat 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.

NPIC Digital Pathology Webinar Series - Innovation into Practice - NPIC Digital Pathology Platform and Deployment Strategy
2026-07-14 03:00 - 04:00 UTC | 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:

Find out about the NPIC technical platform for digital pathology!​
Hear about the opportunities and challenges of digital pathology deployment, and the NPIC approach.​
Pose questions to our speakers in our live Q and A session!

Register NowSpeakers:
Ian Mason
Programme Head for Digital Deployment & Business Services​

Waseem Akhtar
Portfolio Delivery Manager

Dr Bethany Williams
NPIC Knowledge and Skills Lead

Medical Image Understanding and Analysis (MIUA) 2026
2026-07-20 - 2026-07-22 | University College Dublin, Belfield, Dublin, Ireland
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.
The 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.
Designed 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.
Register NowMIUA covers many topics in medical imaging including:

Biomarker Discovery
Brain Imaging
Cancer Cardiac Imaging
Circulation and Microcirculation
Computational anatomy and physiology
Computed Tomography
Deep Learning
Dermatology
Image Interpretation
Image Guided Intervention
Image Physics
In-Vivo Intravital Imaging
Inflammation
Machine Learning
Magnetic Resonance Imaging
Microscopy
Multi Modal Image Analysis
Neurology
Novel Imaging Methods
Perception Modelling and Simulation
Positron Emission Imaging
Ophthalmology
Optical Imaging
Radiology
Texture Analysis
Tissue Perfusion
Ultrasound

TIA Centre Seminar Series – A Multimodal and Temporal Foundation Model for Virtual Patient Representations at Healthcare System Scale
2026-07-27 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 Andrew Zhang from Harvard Medical School, Boston, USA.
Abstract
The 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.
Register NowBio
Andrew 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.

Meet the Next Generation of Concentriq: Pathology’s AI Platform for Precision Medicine
2026-07-28 17:00 - 18:00 (Europe/London) | Online
0000Days00Hrs00Min00SecThis webinar will start at 12pm EST, 5pm BST, 6pm CET, 9am PST
Diagnostic 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.
Proscia 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.
Join 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.
In this session:

How Concentriq Fifth Generation brings intelligence into everyday case review and scientific workflows
What pathologists, lab leaders, and scientists can accomplish that wasn’t possible before
Real-world examples of intelligence accelerating case review, lab operations, biomarker discovery, and clinical development
A live look at Concentriq Fifth Generation in action

Whether 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.
Register NowSpeakers
David West
Chief Executive Officer
Proscia
Coleman Stavish
Chief Technology Officer
Proscia
Dr. Cherub Kim
Director, Medical Affairs and Clinical Informatics Lead
Labcorp
Dr. Daniel Roberts
Medical Director of Digital Pathology
Cleveland Clinic
Dr. Amanda Hemmerich
Global Director of Digital Pathology Innovation
IQVIA Laboratories

Computational Pathology Fundamentals
2026-08-18 - 2026-08-19 | The Queen’s College, Oxford, High Street, Oxford, OX1 4AW, United Kingdom
0000Days00Hrs00Min00SecDon’t miss the 2026 Diagnexia Computational Pathology Fundamentals course — a rare opportunity to learn directly from leading experts, sharpen diagnostic skills, and exchange insights with peers in the historic setting of The Queen’s College, Oxford.
2-Day Course Agenda

DAY 1: Foundations of Computational Pathology
DAY 2: Advanced Topics and Clinical Applications

Register for Computational Pathology Fundamentals and the 5th Diagnexia Histopathology Symposium 2026 to enjoy a 15% discount!
Find Out More and Register

5th Diagnexia Histopathology Symposium 2026
2026-08-20 - 2026-08-21 | The Queen’s College, Oxford, High Street, Oxford, OX1 4AW, United Kingdom
0000Days00Hrs00Min00SecDiagnexia is delighted to welcome you to The Queen’s College, Oxford for our fifth symposium. Across the two day symposium, a series of lectures and slide seminars will be delivered by leading names in the field addressing key problems, issues, and advancements, and a traditional Oxford college dinner.
Network
The symposium offers a unique chance to connect with peers, senior pathologists, and international experts — from interactive sessions to the Oxford college dinner — fostering collaboration and lasting professional relationships.
Learn
Through lectures and slide seminars led by leading experts, attendees gain practical insights into key challenges and emerging advancementt in histopathology
Be Inspired
The symposium brings together some of the most respected voices in histopathology, sparking new ideas, perspectives, and collaborations that inspire attendees to advance their practice and shape the future of the field.
Register for the 5th Diagnexia Histopathology Symposium 2026 and Computational Pathology Fundamentals to enjoy a 15% discount!
Find Out More and Register

Digital Diagnostics Summit 2026
2026-08-26 - 2026-08-28 | St.Regis Hotel, Park City, Park City, UT, United States
0000Days00Hrs00Min00Sec

Innovation in Action

Moving the needle from theory to actual, implemented, and viable digital pathology

Nestled at the base of the breathtaking Wasatch Mountains in the picturesque Park City, Utah, the Digital Diagnostic Summit stands as a beacon for innovation and adoption in digital pathology. Here, leading experts converge in a unique blend of professional collaboration and unconventional networking that go beyond the conference walls and into immersive experiences.

Register Now

KSMO 2026 - 19th Annual Meeting of the Korean Society of Medical Oncology
2026-09-02 - 2026-09-04 | Grand InterContinental Seoul Parnas, 521, Teheran-ro, Gangnam-gu, Seoul, Korea, Republic of
0000Days00Hrs00Min00SecAdvancing Cancer Care, Restoring Hope and Lives​
KSMO 2026—the 19th Annual Meeting of the Korean Society of Medical Oncology (KSMO) and the 2026 International Conference, held in conjunction with the 14th International Conference of the Federation of Asian Clinical Oncology (FACO), will bring together oncologists, researchers, clinicians, and healthcare professionals from around the world to explore the latest advances in cancer research and clinical oncology.
Held under the theme “Advancing Cancer Care, Restoring Hope and Lives,” the meeting will showcase the latest scientific discoveries, emerging therapies, multidisciplinary approaches to patient care, and innovations designed to improve outcomes for people living with cancer. Alongside a comprehensive educational programme, attendees will have the opportunity to collaborate, exchange ideas, and network with leading experts from across the international oncology community.
Register Now

38th European Congress of Pathology
2026-09-12 - 2026-09-16 | Stockholmsmässan, Mässvägen 1, Stockholm, 125 30, Sweden
0000Days00Hrs00Min00SecThe ESP Congresses are 5-day annual international pathology congresses by the European Society of Pathology and the largest gatherings of pathologists in Europe.
The aim is to provide an up-to-date scientific programme (e.g. keynote lectures, symposia, slide seminars, short courses, discussions) covering all major areas of diagnostic, translational, molecular and investigative pathology. Special emphasis will be put on both the recent discoveries and the reinforcement of close clinicopathological cooperation.
The 38th ECP will be delivered as a hybrid event with both live participation in Stockholm, Sweden and online participation. Speakers and Chairs will participate exclusively on-site.
Here is why you should attend:

All-in-one delegate fee (no sessions/courses to be paid extra)
The opportunity to meet pathologists from over 100 countries around the globe at the biggest pathology conference world-wide
A chance to meet your peers and evaluate research in front of the world’s leading pathology experts
Outstanding keynote lectures
Opportunity to interact with world-renowned speakers and chairs
A world-class platform to exhibit your products and services
Attractive industry sessions
Large part of content available on demand after the congress

Register NowThe core programme is being prepared with a strong input from the ESP Working Groups, ESP-affiliated Societies, Education and Trainee Subcomittees.
Expected educational outcome(s):

Familiarity with all histological and molecular approaches that are essential, according to current evidence, in the management of diseases.
Confidence in managing patients (screening, diagnosing, data reporting, and follow-up therapy) with neoplastic and non-neoplastic disorders that are identified, according to the existing evidence, by pathological procedures.
Identify major pitfalls and possible solutions in the diagnosis of certain clinical situations.
Discuss and integrate the most up-to date knowledge and recent research findings in the field of human pathology.
Identify opportunities for scientific collaborations worldwide.

NPIC Digital Pathology Webinar Series - Innovation into Practice - The Quality Co-ordination Centre: New considerations for display choice and an introduction to DAVE.
2026-09-15 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:

Hear an overview of our recently published paper on display consideration in digital pathology.
Get an introduction to our brand-new display evaluation tool, DAVE.
Ask questions to the speakers in a live Q&A.

Register NowPresenters
Professor David Brettle
QCC Theme Lead
NPIC

Dr Hayley Pye
Research Delivery Manager

NPIC

Dr Bethany Williams
Knowledge and Skills Theme Lead

NPIC

From digital transformation to AI readiness: University Medical Center Göttingen's Journey in Digital Pathology
2026-09-24 16:00 - 17:00 (Europe/Paris) | Online
0000Days00Hrs00Min00SecJoin Prof. Dr. med. Philipp Ströbel to learn how one of Germany’s pioneering academic pathology institutes transformed its pathology operations through digital pathology. The session covers UMG’s journey from early adoption to an optimized, fully digital workflow; lessons in workflow redesign and change management; and how digital pathology creates the foundation for AI adoption in a high-volume academic medical center.
Learning objectives

Describe the key drivers behind digital pathology adoption in a high-volume academic pathology environment.
Understand how digital pathology can improve workflow transparency, case management, collaboration, and operational efficiency.
Learn practical approaches for organizational change and user adoption.
Explore how a fully digital pathology workflow can support AI implementation and innovation.
Identify success factors for scalable, future-ready pathology infrastructure.

Register NowSpeakers
Prof. Dr. med. Philipp Ströbel
Director of the Institute of Pathology at University Medical Center Göttingen. Main customer speaker on UMG’s journey, workflow optimization, AI readiness and broader use of AI.
Bob Beertema
Marketing Lead, International Region, Philips. Host and moderator, guiding the discussion from the customer need and clinical experience rather than from product features.

Sneak Peek Into the New Features of HALO®, HALO AI, and HALO Link 4.4
2026-09-24 16:00 - 17:00 (Europe/London) | Online
0000Days00Hrs00Min00SecThis webinar will start at 8:00 PDT, 11:00 EDT, 16:00 BST
Learn about the exciting new features in the 4.4 versions of HALO, HALO AI, and HALO Link!
Summary
Join us for an exciting webinar highlighting the latest improvements in HALO®, HALO AI, and HALO Link coming in version 4.4.
HALO 4.4 introduces enhanced fluorescent channel management, including channel sorting and grouping as well as new black/white adjustment controls, settings that can be saved and applied across images. The new Object Data Gallery provides high-resolution views of a random sample of objects, making object-level QC faster and easier.
HALO AI 4.4 introduces new AI architectures: UNET++ for advanced masking classifier development and EfficientNet for the next generation of Phenotyper V2. Mixed-precision training and inference reduce GPU memory usage while accelerating model development and execution. Annotation workflows are also improved through a more compact annotation format, reducing database impact and export file sizes. Updated platform libraries further enhance performance, stability, and compatibility.
HALO Link 4.4 delivers improved study tree navigation, a new “Save As” option for Figure Maker, improved Diagnostic Monitor visualization, and other quality-of-life enhancements.
The 4.4 release includes updates to the Multiplex IHC and Highplex FL modules, including adjustable membrane thickness and ability to control post-processing on the module side for embedded AI segmentation modules. Additional enhancements include threshold assistance for brightfield images and new object data outputs for nuclear and cellular morphology, signal OD/intensity heterogeneity, and Haralick texture features. Highplex FL also delivers improved performance when users autofill dyes along with faster addition and removal of dyes, even for images with hundreds of channels.
Learning Objectives

Learn about the improved fluorescent channel management in HALO, including channel sorting and grouping.
Learn about the newly introduced Object Data Gallery feature for easier QC of object results.
Learn about the newly available AI architectures for masking classifiers and Object Phenotyper V2.
Learn about the numerous quality-of-life features in HALO Link.

Register NowPresenter
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.

MICCAI 2026
2026-09-27 - 2026-10-01 | Strasbourg Convention Centre, Pl. de Bordeaux, Strasbourg, 67000, France
0000Days00Hrs00Min00SecMICCAI 2026 (Medical Image Computing and Computer Assisted Intervention) is one of the world’s leading conferences in medical imaging, artificial intelligence, computer-assisted interventions, and healthcare innovation. Bringing together researchers, clinicians, engineers, and industry leaders, the conference showcases the latest advances in medical image analysis, machine learning, robotics, computer vision, and AI-driven healthcare technologies.
Following a recent announcement from the MICCAI Board, the 2026 conference will now take place in Strasbourg, France, having been relocated from its original venue in Abu Dhabi. The conference will continue to offer its renowned scientific programme, networking opportunities, and technology showcases, bringing the international medical imaging community together in person in Strasbourg.
Register Now

BioTechX USA 2026
2026-09-29 - 2026-09-30 | Hynes Convention Center, Boston MA, USA, Boston, MA, United States
Data. AI. Precision. Innovation.
For Pharma, Healthcare & Partners
America’s most exciting biotechnology congress, bridging the gap between pharma, academia and clinicians to foster meaningful collaborations
BioTechX USA covers diagnostics, precision medicine, and digital transformation in pharmaceutical development and healthcare. Now running for the third year, the event continues conversations on the East Coast, maintaining and fostering new relationships with key stakeholders in the healthcare industry.
The two-day event aims to bring together 1,500 global executives, 300 speakers, 100 sponsors and exhibitors, and 50 start-ups.
The BioTechX USA Congress features speakers from the top 50 pharmaceutical companies, biotechs, healthcare systems, and academic groups, with the goal of strengthening collaboration and networking opportunities.
With eight tracks of high-level content, the agenda covers everything from the use and management of multiomic data to the development of personalised therapies, as well as the generation of the data itself. There is also an opportunity to submit a scientific poster, which will be displayed throughout the two days of the event, providing an excellent platform to showcase research in biotechnology and genomics.
At a time when biotech is experiencing exponential growth, BioTechX USA brings together leaders from biotech, pharma, fast-growing industry start-ups, and established solution providers to offer insights into where the industry is heading next.
Register Now

CAP 2026
2026-10-03 - 2026-10-06 | Wynn, Las Vegas, NV, United States
0000Days00Hrs00Min00SecCAP26 is where the future of pathology takes shape; where pathologists gather not just to gain knowledge, but to exchange ideas, build relationships, and reconnect around a shared vision.
The conversations are real, the education is practical, and the sense of belonging is unmistakable. You’re among colleagues who understand the stakes, the challenges, and what it means to be truly focused on patient outcomes.
Register NowThe CAP26 Abstract Program is a competitive program sponsored by the College of American Pathologists (CAP). The program is designed to promote a broad range of research in pathology. It offers pathologists and research scientists the opportunity to present original research to their peers in a poster presentation format.

16th Annual World CB & CDx Summit
2026-10-05 00:00 - 2026-10-08 00:00 (America/New_York) | The Westin Boston Seaport District, 425 Summer Street, Boston, MA, 02210, United States
0000Days00Hrs00Min00SecAccelerating Complex Biomarkers, Novel & Multimodal Endpoints to Fuel Drug-Diagnostic Innovations from Bench-to-Bedside for Global Precision Medicine Access
As regulatory headwinds turn to tailwinds, precision medicine is shifting into a new gear.
Evolving FDA approaches to LDTs and 510(k) pathways are removing long-standing friction, coordinated Rx-Dx launches are gaining pace, ctDNA and MRD are advancing as clinically meaningful endpoints, and reimbursement expansion is improving access to high-value genomic testing. At the same time, innovation in multiplex assays, multi-omics platforms, liquid biopsy, digital pathology, spatial biology, and AI-powered diagnostics, are rapidly reshaping the IVD landscape.
Fueled by $60B+ in diagnostic deal-making and strategic partnerships, the 16th World Clinical Biomarkers & Companion Diagnostics Summit returns as the industry’s esteemed end-to-end precision medicine forum. Convening 850+ senior leaders from biopharma, diagnostic, regulatory, healthcare, testing labs and multimodal communities, with expertise spanning the full value chain, gain the insights, partnerships and insider know-how to prime your team for continued clinical and commercial success.
With the race to bring scalable, accessible drug-diagnostic programs from bench-to-bedside heating up, join us in harnessing the speed, scale, and growing complexity of innovation happening in next-generation IVD platforms, multimodal data, and CDx development.
Register Now

Delve into the Brand-New Agenda

Free* Attendance for Representatives from Biopharma & Academia
Your Globally Leading Biomarker & Companion Diagnostics Forum
Access Numerous Strategic Rx-Dx Co-Development & Partnership Selection Panels
Partake in Multiple Biomarker Sessions Spanning Oncology, Hematology & Neurological, Chronic, Autoimmune & Rare Diseases
Discover Brand-New Case Studies on Digital Pathology, Multimodal Data & AI-Enabled Precision Medicine
Take Advantage of Unmatched, Exclusive Networking & Partnerships Opportunities

CancerCare 2026: The Convenzis NHS Oncology Conference
2026-10-06 08:30 - 18:30 UTC | The Studio, 3rd Floor, Birmingham, 3rd Floor, 7 Cannon St, Birmingham, B2 5EP, United Kingdom
0000Days00Hrs00Min00SecClinical Diagnostics & Medical Sciences
A Learning-Focused Summit on NHS Oncology
Cancer remains one of the NHS’s most complex and urgent challenges demanding faster diagnosis, more equitable access to treatment, and a workforce confident in delivering precision care. The 10 Year Health Plan places early detection, innovation and personalisation at the heart of future oncology services. This summit responds directly to that call, providing the education, skills and tools NHS professionals need to deliver cancer care that is proactive, personalised and closer to home.
Educational Focus:
Through a mix of Skill Clinics, Lessons Learned Sessions, and Peer Learning Circles, delegates will learn using real-world frameworks, tools, and templates to strengthen early detection pathways, expand genomic testing, and deliver community-based oncology care.
The focus is not on what to achieve, but how to achieve it. Senior leaders and clinicians will share first-hand insights on implementation challenges, course corrections and replicable improvement models that can be applied immediately within local systems.
Key Topics:

Expanding targeted screening, self-sampling and early detection initiatives.
Scaling genomic testing and AI-guided personalised oncology care.
Integrating innovative technologies; including liquid biopsies, cancer vaccines and whole genome sequencing
Redesigning oncology pathways to deliver diagnostics, rehabilitation and follow-up care within community settings.
Accelerating treatment through digital integration, data-driven coordination and insights from precision and immunotherapy trials.

Register NowWhat’s New for 2026:

Morning and Afternoon Skill Clinics: immersive sessions providing delegates with practical templates for screening pathway redesign, genomic testing workflows and community-based cancer care models.
Lessons Learned Sessions: senior NHS leaders share where implementation plans faced challenges and what changes delivered success.
Peer Learning Circles: facilitated, topic-specific discussions connecting oncology teams, commissioners and innovation leads across the UK.
Action-Driven Case Studies: focused on the how: methods, processes and team structures that made progress possible.

Why Attend:

Build confidence through structured, applied learning and guided skill development.
Gain access to replicable frameworks for early diagnosis, genomic testing and localised cancer care delivery.
Hear directly from peers navigating similar workforce, innovation and integration challenges.
Leave with practical artefacts, toolkits, checklists and action plans ready to use within your organisation.
Strengthen your professional network through collaborative learning and best practice sharing across regions and specialties.

Who Would Benefit:
This summit is ideal for oncology service leads, cancer nurse specialists, diagnostic and genomic programme managers, community health directors and primary care leaders working to deliver more personalised, efficient and equitable cancer care. It will also benefit commissioners, clinical directors and innovation leads seeking practical insight into how to scale early detection, accelerate innovation and integrate cancer services into local care systems.
Suppliers, research partners and technology innovators will gain a clear understanding of the operational priorities shaping the next decade of NHS oncology transformation.

CancerCare 2026: The NHS Oncology Conference
2026-10-06 08:30 - 18:30 UTC | etc.venues, Prospero House, London, 241 Borough High St, London, SE1 1GA, United Kingdom
0000Days00Hrs00Min00SecClinical Diagnostics & Medical SciencesA Strategic Conference on Advancing Oncology Pathways Across the NHS – All Convenzis Events Provide 8 CPD Points Per DelegateCancer remains one of the NHS’s most complex and urgent challenges demanding faster diagnosis, more equitable access to treatment, and a workforce confident in delivering precision care. The 10 Year Health Plan places early detection, innovation, and personalisation at the heart of future oncology services.
The NHS Oncology Conference provides a strategic forum for leaders to address these challenges together, translating policy ambition into practical delivery. This event brings NHS teams, ICSs, and cancer alliances together to exchange tested models, frameworks, and collaborative solutions to strengthen early detection, scale genomics, and integrate personalised oncology care within community settings.
Register NowSummit Focus:The NHS Oncology Conference is a premier event for sharing best practices and innovations, designed to help NHS professionals move from awareness to applied implementation. Delegates will gain hands-on frameworks, tested delivery models, and peer-derived insights on how to embed safe, equitable, and sustainable transformation within their services.
Dedicated Skill Clinics offer practical tools, checklists, and implementation templates to support cancer pathway redesign, genomic testing integration, and workforce capability development.
Lessons Learned Sessions provide candid reflections from NHS leaders on real-world challenges, highlighting where implementation plans required adjustment and what delivered measurable results.
This is not a showcase of what to achieve, but a skills exchange on how to achieve it, translating national ambition into measurable improvement.
This year’s event is structured around clear outcomes. Delegates will leave understanding:

Enhance early detection through targeted screening, self-sampling, and expanded genetic testing.
Accelerate innovation by adopting technologies like cancer vaccines, liquid biopsies, and whole genome sequencing.
Advance personalised care using genomics and AI to guide tailored treatments.
Expand community-based oncology, integrating diagnostics, rehab, and follow-up care into local health centres.
Strengthen resilience through digital transformation, workforce capability, and robust governance.
Improve access and equity across cancer pathways, including prostate cancer and haematology services.

What’s New for 2026:
Morning & Afternoon Skill Clinics: immersive sessions focused on actionable tools, checklists, and templates delegates can implement immediately within oncology services.
Lessons Learned Sessions: real-world reflections from NHS leaders detailing what went wrong, what changed, and what succeeded in implementing cancer pathway transformation.
Peer Learning Circles: small-group exchanges enabling collaboration between cancer alliances, ICBs, and provider teams to co-design practical solutions.
Action-Driven Case Studies: focusing on the delivery process — how genomic testing, data integration, and workforce innovation created measurable outcomes.

Why Attend:
Earn 8 CPD Points by attending.
Build professional confidence through applied, hands-on learning.
Access ready-to-use frameworks for early detection, genomic integration, and pathway transformation.
Hear directly from NHS leaders and peers driving oncology service improvement.
Leave with practical artefacts, toolkits, and implementation plans ready for local rollout.
Join a national community of NHS professionals committed to capability-building and sustainable cancer care delivery.

Who Would Benefit:This conference is ideal for clinical, operational, and strategic leaders involved in oncology transformation, including Cancer Alliance leads, oncology service managers, diagnostic and genomic programme directors, Chief Nurses, CCIOs, CIOs, AHP leads, and ICB or ICS transformation teams. It will also benefit commissioners, community health directors, and primary care leaders seeking practical guidance on scalable, interoperable models of cancer care.
Suppliers, research partners, and technology collaborators will gain insight into NHS oncology priorities, workforce capability needs, and the practical enablers shaping the next decade of personalised cancer care.
