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.
馃搮 First and third Monday of each month馃晳 2:00-3:00 PM
馃搷 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).
馃敩 Computational Pathology 鈥煉� LLMs & Agents 鈥� 馃 Foundation Models
An agentic framework for autonomous scientific discovery in cancer pathology
馃搮 Monday 19th October 2026
馃晲 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.
馃搫
Safety and Security of Large Language Models in Healthcare
馃搮 Monday 9th November 2026
馃晲 2:00-3:00 PM
Large language models (LLMs) are rapidly entering clinical practice. Drawing on insights from a recent Nature Review, Germany鈥檚 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.
馃搫
Dr Jan Clusmann
TU Dresden, Germany
馃┖ Clinical AI 鈥� 馃挰 LLMs & Agents 鈥� 馃彞 Digital Health