Join us for this Thought Leaders episode as Dr Shan Raza, Associate Professor at the TIA Centre, University of Warwick, shares his journey from electrical engineering into computational pathology and AI-driven cancer research.

Hosted by Sidney Ocanagil-Tunstall, Marketing Director of Pathology News, this conversation explores how Shan’s combined expertise in image analysis, wet lab workflows, and AI gives him a unique perspective on building robust algorithms for pathology.

We discuss the growth and mission of the TIA Centre, the move toward multimodal analysis across pathology, radiology and genomics, and how international collaborations and grand challenges like CHIMERA are shaping the future of AI in medicine.

A major focus of the episode is the TIA Toolbox, an open-source suite for running AI on pathology images, covering its motivation, core features, recent additions, and how it has supported multiple challenge wins across diverse tissue types.

We also reflect on the realities of clinical AI deployment, trust, regulation, and why a human-in-the-loop approach will remain essential as digital pathology continues to evolve.

This episode offers a practical and forward-looking view of how open tools, collaboration and multimodal data are driving the next phase of computational pathology.