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TIA Centre Seminar Series 2026/27

Leading speakers in computational pathology, medical imaging, multimodal AI and digital health.

Bringing together leading researchers from academia, healthcare and industry to discuss the latest advances in computational pathology, medical imaging, multimodal AI, digital health and clinical translation.

Organised by Dr Adam Shephard with support from Jiaqi Lv.

πŸ“… First and third Monday of each month
πŸ•‘ 2:00-3:00 PM
πŸ“ Hybrid attendance available

Seminar enquiries: adam.shephard@warwick.ac.uk

Upcoming Seminars

Autumn 2026

Dr Yuri Tolkach

University Hospital Cologne, Germany

Yuri Tolkach, MD, PhD, is an attending pathologist at the University Hospital Cologne, Germany, and a Lead of the Research Group for AI applications in digital pathology (tolklab.de). His work has focused on developing diagnostic tools across multiple tumour types, quality control in pathology, and computational pathology challenges (e.g. SemiCOL). He has served as Vice-President of ESDIP and a Chair of scientific committee of ECDP (2022-2024).

πŸ”¬ Computational Pathology β€’πŸ’¬ LLMs & Agents β€’ πŸ€– Foundation Models

An agentic framework for autonomous scientific discovery in cancer pathology

πŸ“… Monday 19th October 2026

πŸ• 2:00-3:00 PM

SPARK is an agentic AI framework that autonomously generates biologically-driven concepts for cancer pathology. Across 18 cohorts and more than 5,400 patients, SPARK identified clinically relevant concepts associated with prognosis, pathology variables and predictive biomarkers.

πŸ“„An agentic framework for autonomous scientific discovery in cancer pathology | Nature Medicine

Safety and Security of Large Language Models in Healthcare

πŸ“… Monday 9th November 2026

πŸ• 2:00-3:00 PM

Large language models (LLMs) are rapidly entering clinical practice. Drawing on insights from a recent Nature Review, Germany’s largest survey of clinician AI chatbot use (>4,000 respondents), and real-world deployment experience, Dr Jan Clusmann explores the opportunities, risks, and readiness of LLMs for healthcare.

πŸ“„Safety and security of large language models in healthcare | Nature

Dr Jan Clusmann

TU Dresden, Germany

Dr Jan Clusmann, MD, is a physician-scientist at TU Dresden working at the intersection of oncology, clinical AI, and healthcare implementation. His research focuses on the safe and effective deployment of large language models and AI systems in clinical practice. He combines clinical experience with AI research to develop tools for decision.

🩺 Clinical AI β€’ πŸ’¬ LLMs & Agents β€’ πŸ₯ Digital Health

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