Recent Advances and New Directions in Geometric Methods for Computational Biology and Medicine

Shape has become central to the biomedical sciences, from D'Arcy Thompson's mathematical laws of form to computational anatomy, which models anatomical variability and extracts morphological biomarkers of disease from biomedical images, and to shape spaces and statistics on them. For mathematicians, statisticians, computational biologists and neuroscientists, the workshop is organised around four topics: geometric frameworks for complex biological structures such as spatial networks and functional data; longitudinal models of biological processes; geometric deep learning and AI in biomedicine; and community-maintained open-source software and datasets. Participation is by registration and acceptance through NITMB's workshop form. Participants based more than 50 miles from NITMB register by 26 March 2027; local participants (within 50 miles) register by 16 April 2027.