TIA Centre Seminar Series - Conformal Quantification of Predictive Uncertainty in Health AI
2025-10-27 14:00 - 15:00 (Europe/London) | Online
The Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions.
This seminar features Dr Tapabrata (Rohan) Chakraborty from UCL, London, UK.
Abstract
For AI to be trusted for use in high risk applications like healthcare, it is important to ensure (AI Assurance) that the predictive uncertainty is within guaranteed bounds which can be achieved through conformal prediction based calibration at user defined level of significance.
Register NowBio
Rohan is a Theme/Group Lead in Frontier AI Assurance at the Alan Turing Institute and a Principal Research Fellow at UCL Cancer Institute. He leads TRAIL, the Transparent and Responsible AI Lab shared between UCL/Turing. Rohan is an invited expert in Responsible AI with the Global Partnership on AI and an Editor with Springer Nature Computer Science. Rohan has a PhD in Computer Science and worked as a postdoctoral researcher at the University of Oxford where he continues to an Honorary Fellow of Linacre College and a Lecturer in Computer Science with Christ Church College.

ACCESS25 - The Future of Precision Medicine Starts at the Moment of Diagnosis
2025-10-28 15:30 - 16:30 UTC | Online
0000Days00Hrs00Min00SecJoin Access25 on October 28 to discover how Proscia is removing one of the biggest barriers to realizing precision medicine — access to the right patients, at the right moment, with the right data.
With the launch of Proscia Aperture™, biopharma leaders will discover how to automatically identify trial and treatment candidates at the moment of diagnosis—accelerating recruitment and advancing novel therapies.
Clinical lab leaders will learn how Aperture elevates the lab’s strategic role in the precision medicine ecosystem while creating new revenue streams.
And for everyone attending, the Partner Expo will feature breakthroughs in pathology AI, next-generation infrastructure, and enterprise solutions—delivered by the strongest ecosystem in the industry.
Register Now

6th NHS Pathology Conference: Improving NHS diagnostics
2025-11-04
0000Days00Hrs00Min00SecClinical Diagnostics & Medical Sciences
Current Landscape:
Pathology is increasingly becoming a collaborative and interdisciplinary field, with a strong focus on integrating innovative technologies and practices. This shift is essential to meet the growing demands of modern healthcare, where the challenges of disease management, diagnostics, and treatment require cutting-edge solutions and cross-border cooperation.
Timeliness of Event:
This conference is especially relevant as healthcare systems face the dual pressures of managing current patient demands and integrating new technologies into pathology services. With the rapid evolution of healthcare needs and the advent of new diagnostic tools, the event provides a timely platform for discussing how to optimize pathology services across regions and disciplines.
Register Now

Key Subjects:

Pathology Beyond Borders: Integrating Innovation and Collaboration Across Disciplines: Exploring how international collaboration and innovative approaches are reshaping pathology, breaking down silos, and improving global health outcomes.
MES Procurement Approach: A detailed discussion on the strategies and best practices for procuring Managed Equipment Services (MES), ensuring efficient and cost-effective delivery of pathology services.
Fire Panel Discussion: Cross-region Learnings: A dynamic exchange of insights from various regional pathology networks, focusing on shared challenges and solutions, operational strategies, and enhancing cross-region collaboration.
Pathology 2.0: Pioneering Tech Advancements Shaping Future Services: Delving into the latest technological innovations such as AI, digital pathology, and next-generation sequencing that are revolutionising pathology services and setting the stage for the future.
Local Pathology Networks: Examining the role of local pathology networks in managing demand and capacity, ensuring quality service delivery, and optimising resource utilisation.
Managing Demand and Capacity: Addressing the operational challenges in pathology, including strategies for efficient demand management and capacity planning to meet the needs of modern healthcare.

Why Attend:
Attendees will gain valuable insights into the future of pathology, with a focus on integrating innovative technologies, optimising procurement processes, and enhancing cross-region collaboration. This event is an essential opportunity for professionals to learn from experts, share best practices, and explore new approaches to managing the growing complexities of pathology services.

UKNEQAS CPT Annual Participant Meeting 2025
2025-11-04 | The Parkgate Hotel, Cardiff, Westgate Street, Cardiff, CF10 1DA, United Kingdom
0000Days00Hrs00Min00SecFuture Innovations and Investments
Leading The Future by Creating It
This event will centre on the future of Cellular Pathology, exploring innovations, technological advancements, and the latest regulatory changes shaping the field. Key discussions will highlight how these developments impact laboratory operations and the workforce. In addition, breakout sessions and Q&A opportunities with expert coordinators will provide practical insights into addressing everyday challenges faced in the field.
Register Now

DP-AI 9.0 2025
2025-11-06 - 2025-11-08 | Google Headquarters, Chicago, Chicago, IL, United States
0000Days00Hrs00Min00Sec
Friday Sessions at Google Headquarters, Chicago, Illinois
Saturday Lab Tours at Endeavor Health, Evanston, Illinois

The first day will feature presentations by local and international experts at Google Headquarters in Chicago, IL. This is a unique opportunity for attendees to learn about Endeavor Health’s innovative approach to integrating digital pathology and AI into their laboratory systems alongside comparative use cases from other hospital systems across North America.
On the second day, attendees will be shuttled to Endeavor Health in Evanston to tour multiple laboratory spaces, following specimen collection, processing, and delivery to pathologist workstations and analysis.
Programming Themes:
1) Institutional/Clinical Practice and Vendor Collaboration
2) DICOM and its role in DP-AI
3) Digitization, Automation, and DP-AI for building the AP Lab of the Future
4) The Role of Foundation Models, Generative AI/LLMs, and Agentic AI in Pathology, with a deep dive into the Current State of Regulatory Affairs in DP-AI
Register Now

3rd Spatial Biology Congress: Asia
2025-11-10 - 2025-11-11 | Lee Kong Chian School of Medicine – NTU Singapore (Novena Campus), Singapore
0000Days00Hrs00Min00SecGlobal Engage is pleased to announce the 3rd Spatial Biology Congress Asia, returning to Singapore on 5th and 6th November 2025. This prestigious event continues to serve as a hub for spatial biology experts from academia, biotech companies, and the pharmaceutical industry, coming together to share cutting-edge insights and foster collaborations that push the boundaries of this rapidly evolving field.
Run as single-track, over 2-day, this year’s edition will stage more than 15 top scientists presenting the latest discoveries in using spatial multi-omics tools to uncover molecular insights through the following sessions:

Spatial genomics, transcriptomics, proteomics, metabolomics, and lipidomics
Computational & data analysis integration
Spatial profiling
Image analysis, AI and digital pathology for spatial
Spatial biology in therapeutic areas
Spatial omics in plant biology

If you are looking to stay at the forefront of spatial biology, gain unparalleled insights from leading scientists, and expand your professional network in this thriving field, then this meeting is not to be missed.
Register NowWhy Attend?

1
Connect with researchers, industry leaders, and potential collaborators from across Asia and beyond. Networking can facilitate partnerships and foster collaborative projects that enhance your team’s research efforts.

2
Gain access to cutting-edge research and developments in spatial biology, including advancements in imaging technologies, spatial transcriptomics, and multi-omics approaches.

3
Learn from leading experts in the field through keynote presentations, workshops, and panel discussions that provide valuable insights into the applications of spatial biology in various research areas.

4
Cross-Disciplinary Perspectives: Engage with professionals from diverse disciplines, including molecular biology, pathology, and bioinformatics, allowing your team to gain new perspectives and strategies for tackling complex biological questions.

5
Explore the latest tools and technologies available in the field of spatial biology. Understanding these innovations can help your team stay at the forefront of research and improve experimental outcomes.

6
Stay updated on emerging trends and future directions in spatial biology, helping your team align research goals with industry needs and advancements.

TIA Centre Seminar Series - Scaling Multiplexed Protein Imaging Analysis for Subcellular-resolution Pathology
2025-11-10 14:00 - 15:00 (Europe/London) | Online
The Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions.
This seminar features Malte Kuehl from Aarhus University, Denmark.
Abstract
Proteins and their spatial distribution constitute the functional foundation of biology, offering critical insights into health and disease. However, probing pathological tissues at subcellular resolution remains challenging, from experimental design through image acquisition to computational analysis. I will present our recent work on Pathology-oriented multiPlexing (PathoPlex) published in Nature, which introduces key innovations spanning quality control, experimental design, and image acquisition, alongside spatiomic, a novel software library that accelerates spatial proteomics analysis at the pixel level and beyond. Finally, I will discuss how these developments, combined with advances in spatial statistics, agentic AI, and collaborative community efforts in open-source software, offer potential pathways for addressing remaining challenges in spatial proteomics.
Register NowBio
Malte Kuehl studied medicine at the University of Hamburg, where he joined the Institute of Medical Systems Biology and the III. Medical Department to begin his Doctor of Medicine degree. In 2023, he joined the Complex Tissue Lab at Aarhus University, led by Prof. Puelles, as a postdoc. His primary research interests include spatial omics, image analysis, and agentic AI.

AMP 2025 Annual Meeting & Expo
2025-11-11 - 2025-11-15 | Boston Convention and Exhibition Center, Boston, MA, United States
0000Days00Hrs00Min00SecJoin leading experts in molecular diagnostics at the AMP 2025 Annual Meeting & Expo, the premier event hosted by the Association for Molecular Pathology. This international gathering offers cutting-edge insights, hands-on workshops, and a dynamic expo showcasing the latest innovations in precision medicine and clinical genomics.
Key topic areas include:

Genetics
Hematopathology
Infectious Diseases
Informatics
Solid Tumors
Technical Topics
Education & Emerging Areas

Whether you’re advancing laboratory practices, exploring new technologies, or shaping the future of molecular medicine, AMP 2025 is the place to connect, learn, and lead.
Register Now

Mastering Image Quality Control with AIRA Matrix
2025-11-13 16:00 - 17:00 (Europe/London) | Online
0000Days00Hrs00Min00SecRegister below! The webinar starts at 5 PM CET, 4 PM GMT, and 11 AM EST.
Artificial intelligence is transforming how laboratories and life science organizations approach quality control. This webinar will answer the key question: Why address quality control issues with AI? We’ll explore the benefits of AI-driven solutions, highlight differentiating features, and provide a live product demonstration to show how Aira Matrix can improve efficiency and consistency in lab workflows. Attendees will gain practical insights into how AI can help reduce errors, streamline processes, and support more reliable outcomes.
The session will be led by Marco Comianos, who heads Aira Matrix’s commercial organization in the United States and Canada. With over 25 years of experience in sales, marketing, and commercial leadership across healthcare and life sciences—including roles in medical imaging, EMR, and healthcare AI—Marco brings deep expertise in aligning innovative technologies with real-world clinical and research needs.
Learning Objectives

Why addressing quality control with AI matters
How Aira Matrix differentiates itself in the market
Key product features and their impact on efficiency
A live demo of the platform in action

Register NowPresenter
Marco Comianos heads Aira Matrix’s commercial organization in the United States and Canada. He has over 25 years of experience in sales, marketing and commercial leadership in the Healthcare and Life Sciences industries, at a broad range of medical imaging, EMR and healthcare AI companies. He holds a Bachelor of Science Degree in Business Administration

TIA Centre Seminar Series – Too Many Models, Too Few Benchmarks: Addressing the benchmarking crisis in AI for pathology
2025-11-17 14:00 - 15:00 (Europe/London) | Online
The Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions.
This seminar features Professor Jana Lipkova from the University of California, Irvine, USA.
Abstract
The field of AI in pathology is experiencing a benchmarking crisis. New models emerge weekly, each claiming superiority over predecessors, yet the community lacks rigorous, reproducible tools to validate these claims. In this talk, I will present two open benchmarks from our group to address this gap. The first benchmark systematically evaluates state-of-the-art pathology foundation models (FMs) for survival prediction in oncology. We assess model generalization across multiple external cohorts, compare architectural paradigms (patch- vs. slide-level, uni- vs. multimodal), probe model interpretability and investigate weather FM allow to build pan-cancer generalists model that replace disease-specific models and generalize to rare cancers and conditions not seen during the model training? The second benchmark introduces a framework for safe AI deployment in pathology, focusing on out-of-distribution (OOD) detection and model “guardrails.” We propose a new taxonomy for OOD scenarios in pathology and a public benchmark that stress-tests existing OOD models across diverse data shifts and real-world variability. Both benchmarks, including all datasets, standardized splits, and evaluation protocols, are publicly released to serve as standards for model evaluation and comparison, thereby accelerate further advances and deployment of AI in pathology.
Register NowBio
Jana is an Assistant Professor at the University of California, Irvine, with joint appointments in the School of Medicine, School of Biomedical Engineering, and the School of Computer Science. She completed her postdoctoral fellowship in the AI for Pathology group at Harvard Medical School, under the mentorship of Dr. Faisal Mahmood. Prior to that, she earned her Ph.D. in computer-aided medical procedures from the Department of Radiology at the Technical University of Munich. Jana leads the OctoPath Lab (http://octopath.org/), which develops AI methods for diagnosis, prognosis, and treatment optimization in histopathology and beyond.

Carrefour Pathologie 2025
2025-11-19 - 2025-11-21 | CNIT Forest in Paris la Défense, 2 Le PARV de la Défense, Paris, 92800, France
The congress took place in a beautifully rehabilitated venue, designed to meet expectations and widely appreciated by participants. The 2024 edition was a great success, bringing together 1,486 participants (a record!) and receiving excellent feedback from both pathologists and exhibitors.
CARREFOUR 2025 will once again bring together professionals in Pathological Anatomy and Cytology for a unique moment of learning, exchange, and collaboration. The event will be held in person, with all sessions available afterwards as podcasts for registered participants via the Carrefour media library.
Register NowKey Features of CARREFOUR 2025
Scientific Programme designed by Professor Séverine Valmary-Dégano and the scientific committee.
Histoseminars on:

Colorectal tumors
Thyroid pathology
Ovarian pathology

Conferences by world-renowned French and international pathologists covering:

France Genomics 2025 program
Ethics and artificial intelligence
Pulmonary cytology and mediastinal pathology

Symposia Topics

Theranostic markers
Ecological transition and quality
Bilio-pancreatic cytology
Feto-placental pathology
Organ transplant rejection

Interactive Session

Focused on the management of prostate biopsies — one of the most anticipated sessions of the event

AIP Day (Friday)

Theme: Pulmonary Tumor and Pseudotumoral Pathology

Medico-Technical Sessions

The Macroscopic Technician: Crossed Views and Feedback
The Cyber-ACP Attack: Action / Reaction / Anticipation

HistoWiz x PathologyOutlines: Seamless Digital Slide Integration with PathologyMap™
2025-11-20 16:00 - 17:00 (Europe/London) | Online
0000Days00Hrs00Min00SecJoin HistoWiz and PathologyOutlines.com for an inside look at how their new partnership is transforming digital pathology publishing. This webinar will showcase how PathologyMap™, HistoWiz’s secure digital slide management platform, now integrates with PathologyOutlines.com to make research articles more interactive and accessible. Attendees will see firsthand how authors can easily upload digital slides, embed high-resolution images directly into articles, and provide readers with frictionless access to pathology content. Learn how this collaboration is setting a new standard for open-access education and discover tools that simplify workflows for authors, readers, and the pathology community at large.
Learning Objectives

Understand how PathologyMap™ integrates with PathologyOutlines.com to simplify digital slide sharing and publishing.
Identify the benefits of embedding interactive whole slide images within research articles for both authors and readers.
Explore how this collaboration supports open-access education and democratizes access to pathology data worldwide.
Recognize opportunities to adopt digital pathology tools that enhance learning, research dissemination, and clinical insights.

Register NowSpeakers
Akash Parvatikar, PhD
AI Scientist and Product Manager, HistoWiz
Kristi Marie
Managing Editor, PathologyOutlines.com

TIA Centre Seminar Series - Pathology knowledge-guided AI models in computational pathology
2025-11-21 11:00 - 12:00 (Europe/London) | Online
The Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions.
This seminar features Professor Jin Tae Kwak from Korea University, Seoul, South Korea.
Abstract
Computational pathology is undergoing a profound transformation driven large-scale artificial intelligence (AI), particularly the seamless integration of multiple data modalities through multimodal large language models (MLLMs). In this talk, I will present our group’s recent efforts in developing knowledge-guided computational pathology tools that utilize vision-language models for various diagnostic tasks. I will discuss how vision-language models, combined with expert knowledge, can aid in analyzing complex tissue patterns, enhancing interpretability, and achieving accurate and reliable diagnostic performance.
Register NowBio
Jin Tae Kwak received his Ph.D. in Computer Science from University of Illinois at Urbana-Champaign, USA in 2012. He earned his Masters of Science degree in Electrical and Computer Engineering from Purdue University, USA in 2007 and his Bachelor of Engineering degree in Electrical Engineering from Korea University, Korea in 2005. In 2012, He joined Center for Interventional Oncology, Clinical Center, National Institutes of Health, USA as a Research Fellow. He served as a tenure-track faculty member in the department of Computer Science and Engineering at Sejong University from March 2016 to August 2020. He joined School of Electrical Engineering at Korea University in September 2020. His research interests include multimodal medical imaging, digital and computational pathology, and large-scale and efficient AI systems for medicine

AI in Clinical Digital Pathology: An introduction and live demonstrations of Aperio HALO AP and Aperio AI Store
2025-11-25 15:00 - 16:00 (Europe/London) | Online
0000Days00Hrs00Min00SecRegister below! The webinar starts at 4 PM CET, 3 PM GMT, and 10 AM EST.
Join Leica Biosystems for a dynamic one-hour session exploring how cutting-edge software and artificial intelligence are transforming clinical digital pathology. This webinar will showcase live demonstrations of the Aperio HALO AP Image Management Solution and Aperio AI Store.

Building Now for Tomorrow’s Future: Rob Monroe, MD, PhD, VP & Chief Scientific Officer, Oncology, Danaher Diagnostics, Chief Medical Officer, Leica Biosystems
Introduction and Demonstrations for Aperio HALO AP and Aperio AI Store: Bryce Brown, Director, Product Management, Leica Biosystems
Live Audience Q & A: Linda Fildey, Senior Manager, Global Customer Advocacy, Leica Biosystems (attendees are invited to participate in a live Q&A session with our experts to dive deeper into the technologies and innovations discussed).

Webinar learning objectives:

Discover how AI tools are empowering pathologists and histotechnologists with advanced tools to enhance diagnostic precision, streamline workflows, and support better patient outcomes.
Explore the capabilities of Aperio HALO AP and Aperio AI Store through live demonstrations, highlighting practical applications in real-world pathology settings.
Practical considerations on the importance of building future-ready digital pathology infrastructure

Register NowPresenters
Rob Monroe, MD, PhD, VP & Chief Scientific Officer, Oncology, Danaher Diagnostics, Chief Medical Officer, Leica Biosystems
Rob joined Danaher in January 2022 to help drive oncology initiatives for the Diagnostics Platform and lead Medical Affairs at Leica Biosystems. Over the course of his career, Rob has served in multiple Chief Medical Officer and Medical Director roles for diagnostics companies including Bio-Techne, Advanced Cell Diagnostics, Veracyte, and BioImagene. Before joining industry, Rob practiced pathology in the Central Coast of California following residency/fellowship training in Pathology at UCLA and Stanford and MD/PhD training at Harvard Medical School.
Bryce Brown, Director, Product Management, Leica Biosystems
Bryce Brown is an accomplished leader in digital pathology and molecular diagnostics, currently serving as Director of Product Management, Digital Pathology at Leica Biosystems. With over a decade of experience at Leica Biosystems, Bryce has held multiple strategic roles, including leadership in Artificial Intelligence and Machine Learning, where he helped shape product innovation across remote teams in the U.S.. Bryce has also worked as a Cytogenetic Hematological Chromosome Technologist at the Mayo Clinic, where he contributed to high-impact clinical diagnostics in hematological disorders. He holds a Bachelor of Science in Cellular and Molecular Biology from Winona State University.
Linda Fildey
Senior Manager, Global Customer Advocacy
Leica Biosystems

Optimizing the pathology workflow with Aiforia® Breast Cancer Suite
2025-11-26 14:00 - 15:00 (Europe/London) | Online
Join Aiforia to learn how AI technology can enhance precision, speed, and diagnostic accuracy in breast cancer diagnostics.
Pathologist and Aiforia’s Medical Director, Richard Doughty, will discuss his experiences working with breast cancer tissue samples in routine diagnostics. He will showcase a typical BC workflow with and without AI and explain how Aiforia’s AI seamlessly integrates to enhance every step, from sample analysis to diagnosis.
Aiforia®️ Breast Cancer Suite is the most comprehensive AI toolkit for breast cancer diagnostics, supporting the entire diagnostic workflow. It consists of six CE-IVD marked AI solutions with an optimized interactive user interface that assists pathologists in the histological grading of breast cancer, assessment of breast cancer IHC markers, and the detection of lymph node metastasis. The user can review, verify, and modify results, ensuring the highest quality of output.
Who should join?

Pathologists involved in the routine diagnostic workflow for breast cancer
Oncologists and other clinicians who rely on accurate and timely breast cancer diagnostics for treatment planning
Laboratory directors and administrators interested in implementing AI-powered digital pathology tools to improve efficiency and precision
Anyone involved in breast cancer diagnostics who wants to learn about the practical application of AI in histological grading, IHC marker assessment, and metastasis detection

Register NowSpeakers
Richard Doughty, DVM, MD, MSc
Medical Director at 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.

Rute Pedrosa, PhD
Senior Field Application Scientist, Aiforia Technologies

Has worked at Aiforia for 2.5 years
PhD at Erasmus University Rotterdam, focusing on the pathogenesis of brain metastatic disease

Navigating the Future: Implementing Digital Pathology
2025-12-02 14:00 - 15:00 (Europe/London) | Online
0000Days00Hrs00Min00SecRegister below! The webinar starts at 2 PM GMT, 3 PM CET, and 9 AM EST.
Join us for an insightful conversation on what it truly takes to implement a successful, scalable digital pathology service.
In this webinar, Christopher Parry, Digital Pathology Sales Specialist at Roche, and Paul Flavell, Programme and Portfolio Manager, draw on their combined expertise in cellular pathology, cloud migration, and digital transformation to explore the journey from vision to implementation.
Through a presentation and conversational Q&A format, they’ll unpack the key stages of digital adoption from defining why digitisation matters, to managing integration, networking, and storage requirements, and overcoming real-world challenges through strong partnerships and collaboration.
Learning Objectives

Why a network-wide digital pathology service requires more than just hardware.
How strong relationships have driven successful digital pathology deployment.
What benefits are already being realised and what the future holds as AI and algorithmic tools become part of routine diagnosis.

Register NowPresenters
Christopher Parry
With over 10 years experience within Cellular Pathology, Chris is now a Digital Pathology Sales Specialist at Roche, Chris is passionate about leveraging digital pathology and AI to transform cellular pathology. With a focus on driving diagnostic certainty and alleviating the significant backlogs within the field. Background includes roles in tissue diagnostics sales, as an applications consultant, and as a biomedical scientist in both the NHS and private sectors.
Paul Flavell
Paul is a highly experienced Programme and Portfolio manager, delivering large complex data center migrations, cloud migrations and cloud optimisation programmes of work across multiple industries sectors. 5 years with Roche leading teams to design and deliver digital solutions.

EPIC Technology Meeting on Cancer Pathology, Therapy and Surgery at Gustave Roussy
2025-12-03 - 2025-12-04 | Gustave Roussy Cancer Campus, Paris, France
0000Days00Hrs00Min00SecPhotonics technologies have shown great promise in advancing both the diagnosis and therapy of cancer, offering highly precise, non-invasive and, in some cases, real-time solutions. Techniques such as optical coherence tomography (OCT), fluorescence imaging, and Raman spectroscopy enable early detection and detailed imaging of tumors at a cellular level. Their goal is to overcome some of the disadvantages of the traditional methods in terms of accuracy and speed of the diagnosis. Novel imaging techniques can also offer new advantages in intraoperative margin assessment in surgical oncology. For cancer therapy, photonics plays a critical role in approaches like photodynamic therapy, where light is used to activate photosensitive drugs that selectively target and destroy cancer cells. And laser sources can be used on surgical applications due to their capability to destroy tumors with minimal damage to surrounding healthy tissue. The integration of photonics with molecular imaging and targeted drug delivery systems is also enhancing the precision of cancer treatments, improving outcomes, and minimizing side effects.
This meeting will bring together medical doctors from different departments to discuss with the photonics community the actual status of the solutions they use and the remaining challenges and needs. From this discussion, integrators, manufacturing of complete systems and components manufacturers will understand the way to improve their developments to address the specific problems of the medical community. In order to support companies in this challenging process, a specific session on regulations, certifications and hospital management needs will be organized to have new recommendations and advice from experts in these topics.
Register NowMeet Our Partner

The DIAGGRAFT project - Developing AI for kidney transplant diagnostics
2025-12-08 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 Linda Studer from Radboud UMC, Nijmegen, The Netherlands.
Abstract
Given the significant increase in kidney transplantations, maximizing long-term transplant survival is even more important. While histopathologic assessment of biopsies remains the diagnostic gold standard, the current diagnostic classification system (Banff Lesion Scores) possesses considerable observer variability, is mostly qualitative, and lacks granularity in key areas, therefore challenging biopsy assessment. To address these limitations, the DIAGGRAFT project aims to develop and clinically validate deep learning-based tools for renal transplant histopathology. The first step of the project was the development of tissue segmentation algorithms for the key renal compartments. The second step focused on automating the objective quantification of inflammatory cells necessary for reproducible Banff scoring, for which we launched the MONKEY (Machine-learning for Optimal detection of iNflammatory cells in the KidnEY) computational challenge. Currently, we are running a validation study with over 40 pathologists to assess the clinical utility, efficiency, and integration readiness of these algorithms.
Register NowBio
Linda Studer holds a PhD in Computer Science from the University of Fribourg, Switzerland, and has an academic background in life sciences. Her PhD mainly focused on the use of Graph Neural Networks for colorectal cancer histopathology. Currently, she is a Postdoctoral Researcher within the Computational Pathology Group (CPG) at Radboudumc. She is working on the DIAGGRAFT project, which focuses on developing AI solutions for kidney transplant diagnostics. As part of this project, she led the MONKEY computational challenge (a MIDL 2025 challenge), which focused on the detection and classification of inflammatory cells in PAS-stained kidney transplant biopsies. She was also an organizer for the COMPAYL workshop at MICCAI 2024 and 2025.

Introduction to DICOM in Digital Pathology
2025-12-09 - 2025-12-10 | Online
0000Days00Hrs00Min00SecPlan ahead to attend Introduction to DICOM in Digital Pathology, a 2-day training, delivered virtually through Zoom on Dec 9-10. (member rates available!) This hands-on training program provides an in-depth understanding of DICOM in digital pathology, covering metadata, image encoding, storage solutions, interoperability challenges, and future trends.
Digital pathology is rapidly evolving, and DICOM (Digital Imaging and Communications in Medicine) is the key standard for interoperability and storage. This two-day hands-on training program provides an in-depth understanding of DICOM in digital pathology, covering metadata, image encoding, storage solutions, interoperability challenges, and future trends. Participants will explore real-world applications through interactive exercises, discussions, and practical demonstrations. By the end of the course, attendees will have the knowledge and skills to implement DICOM workflows in pathology environments, improving data integration, accessibility, and compliance. Development of this course includes input from pathologists with first-hand experience in implementing DICOM in their current practices, giving you a real-world perspective.
Learning Objectives
By the end of this course, participants will be able to:

Explain the role of DICOM in digital pathology and how it differs from radiology applications.
Identify key metadata structures, file formats, and pixel data encoding relevant to pathology imaging.
Implement and test DICOM Associations in combination with Storage/Storage Commitment.
Implement and test DICOMweb APIs (WADO, QIDO) for querying and retrieving pathology images.
Design and evaluate storage solutions, including Vendor Neutral Archives (VNAs) for pathology labs.
Utilize DICOM converters to transform pathology images and ensure interoperability with PACS.
Recognize legal, IT, and standardization challenges in implementing DICOM-based pathology workflows.
Discuss how AI, machine learning, and emerging technologies are shaping the future of digital pathology.

Register NowFormat/Class Structure
This 2-day training will be delivered virtual live through Zoom on September 8th and 9th. Training on both days will start at 11:00am and end at 4:30 pm ET. There will be one 15-minute and one 30-minute break each day.
Who Should Take This Course
This course is designed for:

Pathologists & Laboratory Technicians
Healthcare IT Professionals & PACS Administrators
Medical Imaging & Informatics Specialists
Software Developers & Engineers in Digital Pathology
Regulatory & Compliance Officers

Scaling Smarter: Future-Proofing Pathology with Concentriq AP
2025-12-09 16:30 - 17:30 (Europe/London) | Online
0000Days00Hrs00Min00SecJoin Proscia as they demo the latest Concentriq AP releases, which are designed to help pathology teams scale securely, work smarter, and stay ready for the future of digital pathology.
The latest Concentriq AP releases of v4.9 in June and v4.10 in September are focused on more than just new features. They are about providing the strategic foundation that every Anatomic Pathology lab needs to succeed in a digital world:
Enterprise-Ready Scale & Security: See how multi-LIS support, improved user-defined fields (UDFs), and self-service tools like in-app API key management enable flexible, secure growth across sites.
Agnostic Interoperability: Discover how expanded fluorescence imaging compatibility, enhanced image lifecycle management, and new AI integrations empower your lab to connect all scanners, images, and AI tools no matter the vendor.
Pathologist-Centric Workflow Optimization: View how navigation updates bring digital pathology even closer to the microscope, from ergonomic and inverted panning to customizable zoom and review preferences.
Whether you’re a multi-site health system or a private lab accelerating your digital transformation, this live session will show how Concentriq AP’s latest releases deliver the interoperability, scalability, and usability needed to unlock new levels of performance and productivity.
Want a sneak peek into the latest AP updates? Read our recent blog: Multi-Site LIS, FL Images & More: Standout Updates in the Latest Concentriq AP Releases
Register NowPresenter
Amanda Coble
Senior Director of Product

12th Digital Pathology & AI Congress: Europe
2025-12-10 - 2025-12-11
0000Days00Hrs00Min00SecRegister using the link. There is also a Pathology News exclusive discount code available for this event

This internationally recognised meeting is the only meeting truly focused on the transformative power of Digital Pathology and the advances created by Artificial Intelligence and Machine Learning. Across the health sector and pharmaceutical/biotech industry the adoption of digital pathology is speeding up. It’s impact is being felt in primary diagnosis and clinical research as well as the laboratory.
Realisable benefits include:
1. Enhanced Diagnostic Accuracy
2. Increased Workflow Efficiency
3. Accelerated Drug Discovery
4. Improved Patient Outcomes
5. Cost Savings
No wonder health services are implementing digital pathology to improve diagnostic services and patient outcomes particularly for better cancer diagnostics and treatment planning. While research institutions and pharmaceutical companies are leveraging AI to accelerate drug discovery and development, leading to more innovative treatments reaching the market faster.
If you are just starting your digital journey, or well down the road of harnessing the technology don’t miss this must-attend event so you can maximize the potential of digital pathology and AI.

Register Now

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Beyond the Image: Powering the Future of Life Sciences Research with Concentriq LS
2025-12-10 16:30 - 17:30 (Europe/London) | Online
0000Days00Hrs00Min00SecJoin Proscia as they demo the latest Concentriq LS releases, which are designed to help research teams analyze faster, collaborate smarter, and stay ready for the future of image-based discovery.
The latest Concentriq AP releases of v4.9 in June and v4.10 in September are focused on more than just new features. They are about providing the strategic foundation that every Anatomic Pathology lab needs to succeed in a digital world:
Enterprise-Ready Scale & Security: See how multi-LIS support, improved user-defined fields (UDFs), and self-service tools like in-app API key management enable flexible, secure growth across sites.
Agnostic Interoperability: Discover how expanded fluorescence imaging compatibility, enhanced image lifecycle management, and new AI integrations empower your lab to connect all scanners, images, and AI tools no matter the vendor.
Pathologist-Centric Workflow Optimization: View how navigation updates bring digital pathology even closer to the microscope, from ergonomic and inverted panning to customizable zoom and review preferences.
Whether you’re a multi-site health system or a private lab accelerating your digital transformation, this live session will show how Concentriq AP’s latest releases deliver the interoperability, scalability, and usability needed to unlock new levels of performance and productivity.
Want a sneak peek into the latest AP updates? Read our recent blog: Multi-Site LIS, FL Images & More: Standout Updates in the Latest Concentriq AP Releases
Register NowPresenters
Anisha Mohan
Product Manager, Life Sciences

Ritida Nanda
Senior Product Marketing Manager, Life Sciences

TIA Centre Seminar Series – Do androids dream of digital diagnoses? A pathologist’s perspective on digital and computational pathology.
2026-01-19 14:00 - 15:00 UTC | Online
The Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions.
This seminar features Dr Diana Montezuma Felizardo from IMP Diagnostics, Portugal.
Abstract
With a nod to Do androids dream of electric sheep? this talk will explore digital and computational pathology from a pathologist’s point of view. This session aims to be very practical, bringing together a pot pourri of insights from real-world digital deployment and hands-on experience with computational research projects. The goal is to demystify the digital transition, highlight pathologists’ contributions to CPath projects, and emphasise the importance of multidisciplinarity in CPath research.
Register NowBio
Pathologist, currently coordinating the R&D Unit at IMP Diagnostics (Portugal); invited junior researcher at the Cancer Biology and Epigenetics Group (CBEG) – Portuguese Institute of Oncology of Porto; board member and chair of the Scientific Committee of the European Society of Digital and Integrative Pathology (ESDIP). Medical degree from University of Coimbra (FMUC); PhD in Medical Sciences from ICBAS, University of Porto.

Highly Multiplexed Imaging Reveals CAF-immune Cell Niches in Cutaneous Carcinomas
2026-01-22 16:00 - 17:00 (Europe/London) | Online
0000Days00Hrs00Min00SecRegister below! The webinar starts at 8 AM PST, 4 PM GMT, and 11 AM EST.
Learn how HALO and HALO AI are helping expand our understanding of immune regulation by different subtypes of cancer-associated fibroblasts!

Summary

Cancer-associated fibroblasts (CAFs) shape the tumor microenvironment (TME), influencing immune cell (IC) infiltration and anti-tumor activity. Three major CAF subtypes are identified in cutaneous carcinomas. Immunomodulatory CAFs (iCAFs), enriched in late-stage tumors, express cytokines and chemokines that promote IC recruitment and activation. Matrix CAFs (mCAFs) produce extracellular matrix and ensheath tumor nests, restricting IC entry. Myofibroblast-like CAFs (myoCAFs) resemble pericytes and contractile fibroblasts and likely support tissue remodeling and tumor vasculature.
Keratinocyte cancers, including basal cell carcinomas (BCCs) and squamous cell carcinomas (SCCs), were profiled by Imaging Mass Cytometry using a panel targeting major myeloid, lymphoid and CAF subsets, including activation and exhaustion markers. Image analysis, clustering, and spatial mapping were performed with HALO, Seurat, and Squidpy, enabling high-resolution definition of CAF niches.
SCCs harbored more immune cells than BCCs, particularly lymphocytes. Tumor immune phenotypes—immune-desert, -excluded, and -inflamed—correlated with CAF composition: inflamed SCCs were enriched in iCAFs, whereas immune-excluded BCCs and SCCs contained more mCAFs and myoCAFs; infiltrative BCCs were particularly enriched in myoCAFs. Spatial analysis mapped iCAFs adjacent to lymphocytes, while myoCAFs formed fibroblast-rich stromal regions largely devoid of immune cells. These findings indicate that specific CAF subtypes differentially regulate immune infiltration and activation, suggesting that targeting specific CAF subsets could enhance immunotherapy efficacy in cutaneous keratinocyte carcinomas and could be possibly translated to other keratinocyte cancers.

Learning Objectives

Learn how to analyze highly multiplexed stainings in HALO
Learn about the workflow applied in the study: Cell segmentation, tissue classification, cell phenotyping in R, import of cell phenotypes back into HALO to conduct quality control and spatial analysis.
Learn how cancer-associated fibroblast niches influence immune cell activation in skin cancer

Register NowPresenter
Bertram Aschenbrenner, PhD
Post-Doctoral Fellow
Lichtenberger Laboratory, Medical University of Vienna
Dr. Bertram Aschenbrenner studied molecular biology at the University of Vienna, Austria and performed his master studies in the laboratory of Manuela Baccarini analyzing CRAF – Rok-α interactions. During his PhD studies in the research group of Ira-Ida Skvortsova at the Medical University of Innsbruck, he dissected radioresistance mechanisms of mesenchymal breast carcinoma cells.
In his current role as a post-doctoral fellow in the lab of Beate Lichtenberger at the Medical University of Vienna, Bertram uses imaging mass cytometry, 2D and 3D cell culture systems, and skin cancer organoids harboring native tumor stroma to investigate different immunomodulatory functions of cancer-associated fibroblasts.

TIA Centre Seminar Series – Computational Pathology Before and After the Foundation Model Era
2026-02-02 14:00 - 15:00 (Europe/London) | Online
The Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions.
This seminar features Dr Yang Hu from University of Leicester, Leicester, UK.
Abstract
Computational pathology is broadly utilized in both diagnosis and biomedical research, offering data-driven approaches to augment traditional histopathological practice. Unlike conventional image analysis, whole slide images (WSIs) present unique challenges due to their extreme size, with weakly supervised learning at the slide level becoming a dominant paradigm. The interplay of multi-scale features, ranging from cellular to tissue-level structures, introduces subtle yet profound influences on the understanding of tissue morphology. In this talk, I will begin by discussing cross-scale feature communication and then turn to the interpretability of patch-level representations in the era of pathology foundation models. Building on this, I will explore how diverse morphological explanations arise and conclude with perspectives on the integration and coordination of multiple foundation models to advance computational pathology.
Register NowBio
Dr Yang Hu is a lecturer at the School of Computing and Mathematical Sciences, University of Leicester, having ended his contract as a Research Scientist at the Nuffield Department of Medicine, University of Oxford. His research focuses on computational pathology, medical image analysis, and the development of lightweight and interpretable artificial intelligence methods.

Multiomic Spatial Profiling and Artificial Intelligence: The Next Generation in Diagnostic Haematopathology?
2026-02-10 11:00 - 12:00 UTC | Online
The Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions.
This seminar features Dr Matthew Pugh from University of Birmingham, Birmingham, UK.
Abstract
Multiomic spatial profiling technologies are transforming primary tissue research, yielding exciting new biological insights into disease processes. Despite this, the benefits of this technology in clinical practice have not yet been realised. The diagnosis of blood cancer depends heavily on tissue biopsy histological assessment, necessitating multiple immunohistochemical and in-situ hybridisation assays, performed on separate tissue sections. This tissue-intensive approach can lead to tissue exhaustion and a repeat biopsy procedure. Multiomic spatial profiling techniques enable all these assays to be performed on a single section of tissue, facilitating complete diagnosis and streamlining laboratory and diagnostic processes. Computational and artificial intelligence-driven analysis of this data could facilitate pathological diagnosis and generate novel predictive and diagnostic biomarkers. In this talk we will explore the benefits and risks that multiomic spatial profiling combined with computational pathology could bring to the field of diagnostic haematopathology.
Register NowBio
Dr Pugh is an associate clinical professor and an honorary consultant haematopathologist based at the University of Birmingham. Following a BRC Molecular Pathology Fellowship at the ICR, London, and JSPS and BHP pre-doctoral fellowships, he was awarded an MRC CRTF. Dr Pugh now leads a group researching EBV-driven lymphoproliferations, specialising in the use of spatial profiling techniques to transform our understanding of lymphoproliferative disorders, improve diagnosis, and inform treatment.

Designing and Developing Automated Solutions Using the HALO GraphQL API
2026-02-19 16:00 - 17:00 (Europe/London) | Online
0000Days00Hrs00Min00SecThe webinar starts at 8:00 PST, 11:00 EST, 16:00 GMT
Learn the fundamentals of the HALO GraphQL API and how to design, develop, and implement time-saving automations

Summary

This presentation introduces the foundational concepts of GraphQL, beginning with a clear explanation of what GraphQL is and how it is implemented for the HALO Link platform. It then provides an overview of OpenID Connect (OIDC) while examining both the Client Credentials Flow and the Authorization Code Flow. The session demonstrates how OIDC authentication integrates with the HALO Link GraphQL API, including a walkthrough of obtaining an access token using the Client Credentials Flow.
Building on these fundamentals, the presentation unveils the design and development of an Automated Slide QC Process. Feature requirements are defined, including: triggering the process via the ImageCatalogedEvent when an image is cataloged into HALO Link; automatically performing an Image QC analysis to compute percent normal tissue; and updating the corresponding HALO Link task to complete or failed based on a configurable threshold. A high-level architectural overview illustrates how the Automated Slide QC workflow interacts with both GraphQL and OIDC, supported by a sequence diagram.
The session concludes with a live coding demonstration in Python, developing the Automated Slide QC Process in real time to show how the concepts, APIs, and authentication mechanisms come together in a practical implementation.

Learning Objectives

Learn the fundamentals of GraphQL and how it is implemented in HALO Link
Learn about OpenID Connect and how OIDC authentication works with the GraphQL API
Learn how the discussed tools and concepts can be applied to automate slide QC

Register Now
Presenter

Andrew Gibson
Integrations Developer
Indica Labs
Andrew Gibson is a software engineer from Albuquerque, New Mexico. He earned his bachelor’s degree in Business Operations from the University of New Mexico before continuing his studies in computer science at Oregon State University. With nearly nine years at Indica Labs Inc., Andrew began his career as a front-end developer on HALO Link, where he was responsible for implementing new UI features. He later transitioned to a back-end development team, where he played a key role in designing, implementing, and maintaining the company’s GraphQL API. Currently, Andrew works with Indica’s Cloud Services team as the lead Integrations Developer, where he helps develop integration software solutions for HALO, HALO Link, and HALO AP with third-party software.

GSK AIML: From drug discovery to drug development
2026-02-23 14:00 - 15:00 UTC
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 Danielle Belgrave, GSK, London, UK.
Abstract
Multimodal machine learning models can learn shared representations of human biological state from molecular, cellular, imaging, and clinical data to better understand disease mechanisms. These models are applied across clinical development to support biomarker discovery, patient stratification, and treatment response. Our work aims to build scalable AI to enable precision medicine.
Register NowBio
Danielle Belgrave is a VP of AI/ML at GSK. Her experience spans conducting machine learning research and leading teams across academia and industry focused on scientific discovery and personalising interventions in health. She has previously worked at Google DeepMind, Microsoft Research Cambridge, UK and Imperial College London. She has a BSc in business mathematics and statistics from the London School of Economics and a master’s degree in statistics from University College London. Her PhD was at the University of Manchester in Machine Learning for Healthcare.

Modernizing Pathology: Beyond Digital Pathology to Digital Health
2026-02-24 08:00 - 09:00 UTC | Online
0000Days00Hrs00Min00SecJoin Virasoft at a time that suits you, the webinar will be delivered at the following times:

Feb 24 · 11:00 am (UTC+3), 8am GMT, 3am EST
Feb 24 · 3:00 pm (UTC+3), 12pm GMT, 7am EST
Feb 25 · 7:00 pm (UTC+3), 4pm GMT, 11am EST

This webinar focuses on the challenges of traditional pathology workflows and the opportunities for scalable, data-driven transformation. Learn how disconnected systems and paper-based processes — how a fully integrated digital pathology workflow can overcome these barriers.
What you will learn:

Why pathology is a major opportunity for scalable digital transformation in healthcare
How paper-based workflows limit efficiency and traceability
How Virasoft unifies APLIS, IMS, AI, and devices into one intelligent system
End-to-end digital pathology from biopsy to report
Automatic AI trigger, case prioritization, and workflow orchestration
How centralized data enables business intelligence and smarter decisions

Who should attend?

Pathologists and assistants
Laboratory managers
Hospital IT teams
Healthcare decision-makers

Register NowPresenters:
Çisem Yazıcı, Msc
Product Manager, Virasoft
Bioengineer (MSc) with 8+ years in Digital Pathology
Leads APLIS product vision, design, and international projects.
Gizem Solmaz, Msc
Product Manager, Virasoft
Bioengineer (MSc) with 7+ years in Digital Pathology
Leads IMS & AI product design and international projects.

PathVision 2026: The Convenzis NHS Pathology Strategy Conference North
2026-02-24 08:30 - 18:30 UTC | etc venues Manchester, 8th Floor, 11 Portland Street, Manchester, M1 3HU, 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.
