From pixels to patients: tools for the integration of spatial omics data

Jovan Tanevski (left) is a group leader at the Institute of Computational Biomedicine at Heidelberg University Hospital (Germany), who focuses on problem-driven development of AI and machine learning approaches to data exploration, hypothesis generation and computational scientific discovery to facilitate translational biomedicine. At the annual meeting of the American Association for Cancer Research (AACR) in Chicago (IL, USA; 25–30 April 2025), we caught up with Jovan to discuss his session at the meeting, the tools he’s developed for integrating spatial omics data and what the computational community should focus on in cancer research. Could you tell us about your session...