The Edinburgh Annual Transforming Digital Pathology & AI Conference brings together clinicians, researchers, and industry leaders to explore how artificial intelligence is reshaping pathology. The event highlights advances in digital diagnostics, workflow automation, and data integration, aiming to improve accuracy and efficiency in healthcare. Attendees gain insight from expert-led talks, real-world case studies, and panel discussions on implementation challenges and regulatory considerations. It also provides valuable networking opportunities, fostering collaboration between academia, healthcare providers, and technology companies working at the forefront of AI-driven medical innovation and patient care improvement.

TOPICS COVERED

• Presentations & Case Studies from leading experts in the field of Digital Pathology & AI
• Panel Discussions
• Exhibition area
• Networking
• Technology Demos

WHO SHOULD ATTEND?

• Pathologists and laboratory professionals interested in digital transformation
• Clinicians looking to understand AI-driven diagnostics
• Healthcare leaders and NHS decision-makers exploring innovation
• Researchers and academics in pathology, AI, or medical imaging
• Data scientists and AI developers working in healthcare
• Health tech companies and solution providers
• Regulatory and compliance professionals in medical technology
• Hospital IT and digital transformation specialists
• Investors interested in healthcare AI and diagnostics

SPEAKERS

• Professor Jeroen van der Laak, Professor in Pathology of the Radboud University Medical Center in Nijmegen, The Netherlands and guest professor at the Center for Medical Image Science and Visualization (CMIV) in Linköping, Sweden
• Raphaëlle Luisier, Tenure-track Assistant Professor at the Faculty of Medicine, University of Bern
• Philip Schouten, Consultant breast and dermatopathology at Cambridge University Hospitals NHS Foundation Trust and Workstream lead of Digital Pathology and Machine Learning in the Synergia Breast Cancer Project
• Alan Deacon, National Pathology Programme Lead, NHS Wales Performance and Improvement
• Hadassah Sade, Managing Director, AstraZeneca Computational Pathology
• Fred Mayall, Consultant Histopathologist, Taunton and Somerset NHS Trust
• Scott Maleney, Assessment Manager, UKAS
• Natasha Reid, MSci Molecular and Cellular Biology student at the University of Glasgow
• Sara Parsons, Radiology & Workflow Segment Leader Solutions for Enterprise Imaging
• Adam Shephard, Assistant Professor, Department of Computer Science, University of Warwick
• Fayyaz ul Amir Afsar Minhas, Associate Professor (AI in Biomedicine), Predictive Systems in Biomedicine (PRISM) Lab

For more information, please contact: [email protected].