Scientific Program


9:00 Jordi Temprana Spain
Welcome words from the Congress President
9:05 Norman Zerbe Germany
Welcome words from ESDIP President
9:10 Creative Interlude

CHAIR
Inti Zlobec Switzerland
INVITED SPEAKERS
9:20 Jakob Kather Germany
Artificial Intelligence in Cancer Pathology and Precision Oncology

CHAIRS
Marcial Garcia Rojo Spain
Jakob Kather Germany
INVITED SPEAKERS
9:50
 Joaquin Mateo Spain
An oncologist perspective on developing biomarkers for precision medicine
10:05
 Sabina Berezowska Switzerland
From Glass to Digital: A Pathologist’s Perspective on the Impact of AI in Oncologic Diagnostics
10:20 Luiza Moore United Kingdom
Utilising computational pathology to revolutionise development of cancer therapies and diagnostics

CHAIRS
Geert Litjens The Netherlands
Arvydas Laurinavičius Lithuania
INVITED SPEAKER
11:15 Ana Frei Switzerland
Beyond Pixels: Harnessing the Power of Graphs in Histopathology
ABSTRACTS
11:35
 		Oscar Pina Spain
Cell Detection with Transformers – A Paradigm Shift from Segmentation to Detection in Digital Pathology
11:45 Frederik Aidt Denmark
AI-Enhanced Quantification of HER2 Low and Ultra-Low Expression in Breast Cancer Tissues
11:55
 		Elias Baumann Switzerland
MSAI-Path: Predicting Microsatellite Instability from Routine Histology Slides without Reinventing the Wheel
12:05
 		Thom Doeleman The Netherlands
A CLIDIPA multi-center validation study on deep learning-based classification of early-stage mycosis fungoides and benign inflammatory dermatoses
12:15 Florian Jaeckle United Kingdom
Machine Learning Achieves Pathologist-Level Coeliac Disease Diagnosis
12:25
 		Siemen Brussee The Netherlands=
PathBench-MIL: A Comprehensive AutoML and Benchmarking Framework for Multiple Instance Learning in Histopathology

CHAIRS
Norman Zerbe Germany
John Groth United States
INVITED SPEAKERS
14:00 Norman Zerbe Germany
Introduction to GoPIA
14:10 John Groth United States
GoPIA Outlook
14:15 Brian Napora United States
Updates from DICOM WG-26
14:20 Raj Dash United States
Updates from IHE PaLM
14:30 David Clunie United States
Results from DICOM Connectathon 2025

CHAIRS
Norman Zerbe Germany
Mustafa Yousif United States
INVITED SPEAKERS
14:40 Leica Biosystems with Indica Labs & IBEX Medical
15:00 PathPresenter with Paige & Barco
15:20 Roche with Ibex Medical & Barco
15:40 Sectra with Leica Biosystems, Hamamatsu Photonics & Aiforia

CHAIRS
Inti Zlobec Switzerland
Diana Montezuma Portugal
INVITED SPEAKERS
16:30 Nadieh Khalili The Netherlands
Equity by Design: Reducing Bias in Diagnostic AI
16:40 Saniye Gülser Corat France
Is Bias in AI Inevitable?
ABSTRACTS
17:00 Yaelle Bellahsen-Harrar France
AI in diagnostic pathology: exploring the risks of over-reliance and its clinical consequences
17:10 Xiaoyi Ji Sweden
Temporal degradation of diagnostic artificial intelligence models in digital pathology: determinants and mitigation strategies

CHAIRS
Sabina Berezowska Switzerland
Rasmus Kiehl Germany
INVITED SPEAKER
17:30
 Geert Litjens The Netherlands
The role of computational pathology in tomorrow’s medicine
ABSTRACTS
17:50
 		Mark Eastwood United Kingdom
High Resolution 3D Reconstruction and Visualization of Tubulo-villous Adenoma Tissue
18:00
 		Fatemeh Zabihollahy Canada
Automated Registration of Prostate Whole-Mount Histopathology and Magnetic Resonance Imaging
18:10
 		Elaine Chan Malaysia
AI-driven Spatial Transcriptomics Analysis Reveals PIGR as a Potential Prognostic Marker for Colorectal Cancer
18:20 Joachim Schmid United States
Advanced spatial biology and multiomic analysis – a new paradigm for pathology predictions

CHAIRS
Sabine Leh Norway
Vincenzo Della Mea Italy
INVITED SPEAKER
11:15 Scott Campbell United States of America
Advancing Digital Pathology - Structured Pathology Reporting
ABSTRACTS
11:35
 		Ekaterina Bazyleva Bulgaria
Interoperability in the Implementation of Standardized Structured Reporting (SSR) in Pathology Practice
11:45
 		Kyung A Kim South Korea
Pathology Report Generation Using Giga-pixel Whole Slide Images for Bladder Tumors
11:55
 		Maja Kebe Radulović Slovenia
Can a a Software-Based Template transform Urinary Cytology Reporting and ReduceTurnaround Time in a Tertiary Center?

CHAIRS
Sara Oliveira The Netherlands
Vincenzo L'Imperio Italy
ABSTRACTS
12:00 Alessio Fiorin Spain  Laia Adalid Llansa Spain
Feature Matching Techniques for Region of Interest Registration in Whole Slide Images
12:10 Dominik Hirling Hungary  Zsanett Zsofia Ivan Hungary
A novel method for the morpho-proteomic analysis of mitotis
12:20 Rosemarie LeMay Canada George Yousef Canada
Access to Whole Slide Images in Digital Pathology: a Canadian Perspective on Ethical, Legal and Practical Considerations

CHAIRS
Rasmus Kiehl Germany
Nadieh Khalili The Netherlands
INVITED SPEAKER
14:00 Pedro Fernandez Ruiz Spain
Digital pathologists: Where do we come from? Where are we now? Where are we going to?
ABSTRACTS
14:20 Camille Hurley Ireland
Immune Landscape Profiling in HER2+ Breast Cancer: Predicting Pathological Complete Response Using Convolutional Neural Network
14:30 Ferdaous Idlahcen Morocco
AI-based BRCA mutation prediction and HRD in high-grade ovarian cancer using whole slide images
14:40 Tripti Singh United States
Self-Supervised Learning Framework for Accurate Colorectal Tissue Classification Using SimCLR and ConvNext
14:50 Kajsa Eriksson Sweden
Validation of Stratipath Breast for risk stratification of breast cancer in over 2700 patients

CHAIRS
Amjad Khan Switzerland
Rita Carvalho Germany
ABSTRACTS
15:00 Siddhesh Thakur United States
AI-based robust testicular cancer triaging, a promise for an efficient and cost-effective diagnostic/predictive modality.
15:05 Tillmann Bedau Germany
Cross-Cancer Generalization of Tissue Segmentation Models: Toward Pan-Cancer AI in Pathology
15:10 Dusan Rasic Denmark
Artificial intelligence-based assessment of tumor-infiltrating lymphocytes as a predictor of response to neoadjuvant therapy in breast cancer
15:15 Jiaqi Lv United Kingdom
Deep Learning for detection of Mononuclear Leukocytes from PAS Stained Whole-Slide-Images of Kidney Biopsy
15:20 Robert Harb Austria
An eye tracking dataset of pathologists’ assessments on Whole Slide Images and gland images of colon cases
15:25 Zhuoyan Shen United Kingdom
A Foundation-Model-Based Deep Learning Framework Predicts Chemo-Radiotherapy Outcomes in a Phase III Rectal Cancer Trial
15:30 Wiebke Solass Switzerland
HALO Breast IHC AI: Demonstration of its Application as a Training Tool for Students
15:35 Melvin Geubbelmans Belgium
Image registration of H&E and IF stained Whole Slide Images using nuclei segmentation coordinates
15:40 Chantell Hodgson United Kingdom
Revolutionising Diagnostic Cytopathology Competence and Education: The Digital iEQA Scheme
15:45 Mauro Gwerder Switzerland
Cancer-Associated Fibroblasts as Predictive Markers in Rectal Cancer Biopsies: A Computational Tissue Profiling Approach 
15:50 Gennaro Acanfora Italy
Lymph node cytopathology: exploring the potential of digital tools in diagnosis of lymphoproliferative disorders

CHAIRS
Giovanni Lujan United States
Daniel Racoceanu France
ABSTRACTS
16:30 Matěj Pekár Czechia
LSP-DETR: Towards Efficient and Scalable Nuclei Segmentation in Whole Slide Images
16:35 Erika Váczlavová Slovakia
Aligning Data Annotation Workflow for AI Applications with Clinical Practice in Digital Pathology
16:40 Adam Bajger Czechia
Concept Relevance Propagation for Explainability in Digital Pathology Foundation Transformers
16:45 Paul Ziegler Germany
Histomorphological evaluation of AI-based feature extraction in CRC specimens – from explainable AI to diagnostic pathology
16:50 Erik Everett Palm Sweden
Polygenic Risk Score, Epidemiological Risk Factors, and Prostate Tissue Morphology
16:55 Till Nicke Germany
An end-to-end whole slide image foundation model trained with slide-level labels from open-source data
17:00 Eduard Dorca Duch Spain
Use of AI in LSIL Cases with Sparse Concomitant Cells Suggestive of ASC-H/HSIL.
17:05 Maya Grinwald Israel
Multi-Reader Study of a Fully Automated Artificial Intelligence Solution for HER2 Scoring in Breast Cancer
17:10 Hugo Ekinge Sweden
The Impact of Data Pre-Processing on Multi-Modal Deep Learning in Spatial Transcriptomics
17:15
 		Magnus Helgstrand Sweden
Using photon upconverting nanoparticles to simultaneously detect ultra-low and high biomarker expressions in tissue samples
17:20 Nicolas Nerrienet France
Navigating through Noisy and Conflicting Pathologist Labels : a Gleason Patterns Segmentation Use-Case

CHAIRS
Jordi Temprana Spain
Johanna Palacios Ball Spain
INVITED SPEAKER
17:30 Frederick Deman Belgium
Implementation of AI in clinical routine of a pathology lab
ABSTRACTS
17:50 Orly Ardon United States
Lack of Reimbursement as a Barrier for Global Adoption of Digital Pathology
18:00 Moses Yook South Korea
Provision of Cloud-Based Analytical Environments for Data Ownership Protection
18:10 Paula Cabo-Cuartero Spain
Digital pathology servers in a multi-hospital, multi-format imaging environment with open source software. An efficient and affordable solution.
18:20 Matteo Botteghi San Marino
URINE24 Model: A Novel Approach For A Suitable Cytology Cancer Diagnosis Improved By Pathomics

CHAIR
Norman Zerbe Germany
INVITED SPEAKER
9:00
 Xavier Matias-Guiu Guia Spain
Implementing Digital Transformation of Pathology. The Catalonian experience.

CHAIRS
Xavier Matias-Guiu Spain
Nasir Rajpoot United Kigndom
INVITED SPEAKER
9:30
 Sophie Prévot France
Experience of the French Paris Saclay department of pathology
ABSTRACTS
09:50 Mostafa Jahanifar United Kingdom
Quantifying Mitotic Topology as a Pan-cancer Prognostic Biomarker Using a Deep-Learning and Network-Based Approach
10:00 Lydia Schönpflug Switzerland
Deep-learning enables standardised and reproducible assessment of tumour content at the single cell level with impact on molecular analysis
10:10
 		Amanda Dy Canada
AI-Driven Ki67 Scoring as a Cost-Effective Predictor of Oncotype DX Breast Recurrence Score
10:20
 		Emma Rewcastle Norway
The Road to Clinical Implementation: A multi-institutional study evaluating AI-assisted Ki67 quantification in breast cancer in western Norway.

CHAIRS
Vincenzo L'Imperio Italy
Alex Haragan United Kingdom
INVITED SPEAKER
11:00 Angelo dei Tos Italy
Digital Pathology / AI network: The Veneto Experience
ABSTRACTS
11:20
 		Maureen Waithaka Kenya
A Novel Digital Pathology Workflow That Increases Diagnostic Efficiency in Low-Resource Areas in Kenya
11:30
 		Christoph Blattgerste Germany
Bridging the Gap: An Open-Source Framework for Integrating AI results from Computational Pathology into Clinical Practice using DICOM
11:40 Cristina Martínez United Kingdom
PAPAYA; HyPerplex And sPAtial analYsis plAtform from a comprehensive immune panel setup to an automated analysis pipeline
11:50
 		Daniela Rodrigues Portugal
AI-assisted Artifact Identification: Multi-site analytical performance validation of SlideQC BF in Digital Pathology
12:00 Lan Wang United States
A Multi-Agent Architecture with Quality Assurance for Large-Scale Cervical Cancer Screening in China
12:10
 		Jonas de Vylder Belgium
Automated quality assessment in digital pathology: a multi-site study
12:20 Andrew Mazurek Canada
Implementation of an Integrated Electronic Health Information System: An Institutional Audit of Histopathology Requisition Data

CHAIRS
Inti Zlobec Switzerland
Sabine Leh Norway
PANELISTS
AIM-TumorCellularity: AI-Driven Tumor Sufficiency Assessment Across Tumor Types PathAI
From Clinical Research to Global AI deployments of Aiforia AI solutions Aiforia
Indica Labs
How Cleo skin can elevate your dermatopathology workflow Primaa
Exploration and Practice of AI-Powered Fully Digital Pathology Construction KFBIO
No Signal Left Behind: How AI can improve HER2ultralow assessment for precision diagnosis and broader Treatment Reach Mindpeak
Histofy
Digital Pathology: the Future of AI Workflows and Analytics Roche
Standardized Color for AI - An Ounce of Prevention is Worth a Pound of Cure PathQA
Elevating Pathology with AI at Evident: TruAI and Innovation Partnerships Evident
MIKAIA® - how it gives superpowers to Computational Pathologists and Spatial Biologists Fraunhofer IIS
Ibex's AI-powered platform - globally deployed and used in routine practice Ibex Medical
AI for automated sample detection 3DHISTECH
Revolutionizing “IHC: AI-Powered Virtual Staining for Faster
Cost-Effective Diagnosis OptraScan
Anno2: A High-Performance Annotation Engine for Large-Scale Digital Pathology in Slide Score Slide Score

CHAIRS
Sara Oliveira Portugal
Johanna Palacios Ball Spain
INVITED SPEAKER
16:30 Juan Pablo de la Fuente Spain
Efective WSI life cycle managment
ABSTRACTS
16:50 Sven van Kempen The Netherlands
"AI-Driven Quality Control of Immunohistochemistry: Monitoring HER2 & PD-L1 Stain Consistency in Control Cell Lines"
17:00 George Yousef Canada
Customized Validation Protocol for Digital Pathology Implementation in a Multicenter Institution
17:10 Ana Vieira Portugal
AI-Driven Efficiency: Transforming Fragment Counting in Digital Pathology
17:20 Laura Rasotto Italy
Towards the Digital Pathology Workflow: Automated Paraffin Block Recognition for Sample Traceability

CHAIRS
Junya Fukuoka Japan
Aaron Han United Arab Emirates
INVITED SPEAKERS

 Liron Pantanowitz United States of America, Hooman Rashidi United States of America
Jing Zhang China
Etsuo Susaki Japan
Hicham El Attar Morocco

CHAIRS
Ana Frei Switzerland
Junya Fukuoka Switzerland
ABSTRACTS
11:00
 		Linh le Van Vietnam
A Transformer-Based Deep Learning Workflow for Prognostic Assessment of Uterine Smooth Muscle Tumors
11:05 Javier García Baroja Spain
Deep Learning-Based Lymph Node Segmentation for Multi-Organ Applications
11:10
 		Siddhesh Thakur United States
StructMe: LLM based extraction of structured data from unstructured pathology reports
11:15 Jan-Philipp Redlich Germany
Foundation model-based survival prediction of glioblastoma adjusted to evolving tumor classification
11:20
 		Yujie Xiang China
Breast tumor prognostic stratification via integrative modelling of mRNA expression, clinicopathological data, and digitized histopathology
11:25 Azar Kazemi Germany
Weakly Supervised Subtyping of Barrett’s Esophagus Using Histopathological images: From Normal to Adenocarcinoma
11:30
 		Petr Kuritcyn Germany
Few Shot Segmentation for Histopathology: Foundation Models do not work Wonders
11:35 Violeta Liuba Calin Romania
Identification of cancer cells from cavity serous effusions based on hyperspectral imaging and machine learning
11:40 Matěj Pekár Czechia
Machine Learning-Based Prediction of MammaPrint and Luminal-Type Test Results from H&E Whole Slide Images
11:45 Kastytis Sidlauskas United Kingdom
Refining DCIS Grading: Leveraging Morpho-Spatial Features for Improved Diagnostic Consistency
11:50
 		David Anglada-Rotger Spain
Two Heads Are Enough: DualU-Net, a Fast and Efficient Architecture for Nuclei Instance Segmentation
11:55
 		Gaspar Faure Canada
Self-Supervised Deep Metric Learning for Prototypical Zero-shot Lesions Retrieval in Placenta Whole-Slide Images
12:00 Dmitrii Nechaev Thailand
SPIDER: A Comprehensive Multi-Organ Supervised Pathology Dataset and Baseline Models
12:05
 		Mikaël Simard United Kingdom
Immunocto: a massive immune cell database auto-generated for histopathology
12:10
 		Mark Anderson United Kingdom
A workflow for AI-enabled sub-cellular compartment quantification of immunohistochemically stained biomarkers in tumor tissue
12:15 Cheng Chee Leong Singapore
Multi-reader Study on Accuracy and Concordance of Pathologists and AI-Assisted HER2 IHC Assessment in Breast Cancer, Including HER2 ultralow Scoring.
12:20
 		Ahlem Bdioui Tunisia
Application of machine learning in pathology, Experience of pathology department
12:25 Eman Khorshed Egypt
Digitalization Enhances Pathology Quality Practices in a Children Cancer Center in Egypt

CHAIR
Mircea Serbanescu Romania
ABSTRACTS
14:00
 		Hafsa Akebli Italy
Evaluation of Foundation Models for Feature Extraction in Graph Neural Networks for Prostate Cancer Diagnosis
14:05
 		Yu-Chieh Lin United States
Cross-institution Histological Feature Fusion Model to Predict Relapse-Free Survival in Patients with Early-Stage Urothelial Carcinoma on BCG-Therapy
14:10 Linda Studer Switzerland
Towards Automated Banff Lesion Scoring: Tissue Segmentation in Kidney Transplant Biopsies using Deep Learning
14:15 Marek Oerlemans The Netherlands
Enabling Molecular Subtyping and Grading for Ductal Carcinoma in Situ with Foundation Models
14:20 Mario Parreno-Centeno United Kingdom
SmartTile: A Transformer-Based Tiling and Segmentation Tool for Digital Pathology
14:25 Stefano Gobbo Italy
Automated Evaluation of Tumor Cellularity in Pancreatic Ductal Adenocarcinoma Using Digital Image Analysis
14:30 Shubham Innani United States
AI identifies molecularly mandated WHO glioma subtypes solely from whole slide images
14:35 Kouther Noureddine United States
Evaluating the Tumor Microenvironment Using Chromogenic Multiplexed IHC and Deep Learning
14:40 JieFu Zhu Germany
Joint Training of a Distributed Foundation Model for Digital Pathology: Enabling Cross-Institutional Collaboration via Swarm Learning
14:45 Till Nicke Germany
Foundation models for federated prostate cancer risk stratification
14:50 Luca Canalini Austria
Point-cloud registration of differently stained images of consecutive slices
14:55 Anders Blilie Norway
Artificial Intelligence Assisted Prostate Cancer Diagnosis for Reduced Use of Immunohistochemistry
15:00 Adriana Teran Spain
Artificial intelligence (AI) in prostate cancer: An analysis of pre-analytic considerations for an accurate diagnosis
15:05 Jacob Reimer Denmark
Diagnostic Efficacy of Virtual Reality versus High-Definition Displays in Digital Pathology
15:10 Nicole Couper United Kingdom
Application of an AI-optimised mIF workflow across multiple tumour indications to support data-driven insights within Oncology R&D
15:15 Jaya Jain India
Automated enhanced localization aids in visualisation of faint and sparse hypo-cellular LBC Pap smears
15:20 Kris Lami Japan
Evaluating the Impact of a Deep Learning AI algorithm in the Identification of Lymph Node Metastasis in Breast, Colon and Gastric Tumor Resections
15:25 Nazish Jaffar Pakistan
Comparative analysis of Automated Nuclear Pleomorphism Scoring in Breast Cancer Whole slide and Low-Resource Imaging

CHAIRS
Rasmus Kiehl Germany
Veronica Vilaplana Spain
INVITED SPEAKERS
16:30 Vasilis Ntziachristos Germany
Label-free molecular imaging by means of MidIR optoacoustic microscopy (MiROM)
16:45 Roman Bülow Germany
Integrative Pathomics: Spatially Resolved Morphometric-Molecular Analysis in Renal Pathophysiology
ABSTRACTS
17:00 Dobryna Zalvidea Germany
Multi-photon confocal scanner for label-free imaging
17:10 Maya Utermöhlen Germany
From Histology Slides to Understanding the Whole Picture: Investigating Placental Vessel Trees with 3D Virtual Histology
17:20
 		Claudia Capitini Italy
Enhancing the iDISCO protocol for 3D cancer sample analysis with light sheet microscopy

CHAIRS
David Ameisen France
Diana Montezuma Portugal
INVITED SPEAKER
17:30
 Mattias Rantalainen Sweden
AI-based precision pathology: breast cancer specific foundation models and other scalable solutions for outcome prediction and phenotyping
ABSTRACTS
17:45
 		Emanuel Soda Italy
Charting the molecular and spatial transcriptomic landscape of crypt variability in Inflammatory Bowel Disease
17:55 Dominique van Midden The Netherlands
The MONKEY Challenge: Machine-learning for Optimal detection of iNflammatory cells in the KidnEY
18:05 Oscar Pina Spain
Hierarchical Cell-to-Patch Graphs for Context-Aware Cell Classification in Digital Pathology
18:15 Constance Boissin Sweden
Spatial representation of intra-tumour heterogeneity based on deep-learning prognostic markers in breast cancer patients
18:25 Farbod Khoraminia The Netherlands
BMolNet identifies molecular subtypes linked to bacillus Calmette-Guerin response from bladder cancer histology images
18:35 Marie Arrivat France
Multiple Instance Learning in the context of Annotation Variability: A Study of Gleason Grading of Histopathology Images of Prostate Cancer

CHAIRS
Juan Pablo de la Fuente Spain
Tom Bisson Germany
PANELISTS
Deep Learning–Based Fixation Type Prediction for Quality Assurance in Digital Pathology Oskar Thaeter
Beyond Attention Heatmaps: Better Explanations for Multiple Instance Learning Models in Histopathology Mina Jamshidi Idaji
AI model for Ki-67 index prediction for breast cancer trained purely on existing diagnostic data Adam Kukučka
Interpretable Machine Learning based Detection of Coeliac Disease Florian Jaeckle
Predicting the EPClin score in HER2-negative luminal breast cancer from Whole Slide Images by using transformer-based model Van Linh Le
AI-based Classification of Laryngeal Lesions and Lymphocytic Activity in Dysplasia Adam Shephard
Artificial Intelligence Prediction of Medulloblastoma Recurrence from Pathological Images Noriko Watanabe
Scoring the unseen: A smarter way to evaluate clustering in digital pathology Phoenix Wilkie
Leveraging foundation models to improve lymph node segmentation in colorretal cancer whole slide images Amjad Khan

CHAIR
Diana Montezuma Portugal
INVITED SPEAKER
9:00 Raphaëlle Luisier Switzerland
Integrating imaging and omics data with AI to decode RNA in complex human disorders

CHAIRS
Johanna Palacios Ball Spain
Diana Montezuma Portugal
INVITED SPEAKER
9:30
 Anne Martel Canada
Foundation models: Are they the answer to life, the universe, and everything?
ABSTRACTS
09:50 Julius Hense Germany
Benchmarking Pathology Foundation Model Robustness
10:00
 		Myung Giun Noh South Korea
Deep Learning and Multi-Modal Analysis for Prognostic Prediction in Diffuse Large B-Cell Lymphoma
10:10 Neda Zamanitajeddin United Kingdom
Pan-Cancer Microsatellite Instability Prediction via Foundation Models and Cell Social Network Analysis Reveals Shared Tumor Microenvironment Dynamics
10:20 Erik Thiringer Sweden
Evaluation of Scanner-Variability Robustness of Computational Pathology Foundation Models

CHAIRS
Sabine Leh Norway
Norman Zerbe Germany
INVITED SPEAKERS
11:00
 Jochen Lennerz Germany
European Health Data Space (EHDS) meets Pathology
11:10
 Eric Glassy United States
PathoBabble: The Convergence of Pathology and Generative AI
ABSTRACTS
11:30
 		Sabina Patel United Kingdom
Introducing AI Applications for Clinical Use: The Complex Intersection of the IVDR and AI Act
11:40
 		Helen Hou United States
BRIDGE Pilot Study: A Bilateral Regulatory Investigation of Data Governance and Exchange

CHAIRS
Andrey Bychkov Japan
Sara Oliveira The Netherlands
INVITED SPEAKER
12:00
 Nadieh Khalili The Netherlands
Generative AI in Pathology: Hype or Reality
ABSTRACTS
12:20 Frederieke Lohmann Switzerland
From Genes to Images: Leveraging Spatial Transcriptomics for Histological Image Generation
12:30 Sonja Koivukoski Finland
Virtual PAS-staining of unstained tissues can visualize stain-specific details
12:40
 		Hesam Hakimnejad Finland
Histological Virtual H&E Staining using Diffusion Models
12:50
 		Rajendra Singh United States
Towards an AI Co-Pathologist


INVITED SPEAKERS
13:00 Norman Zerbe Germany
13:05 Best Poster Presentation, Best Oral Presentation
13:10
 Peter Regitnig Austria
13:20 Jordi Temprana Spain