TissueMosaic Enables Cross-Sample Differential Analysis of Spatial Transcriptomics Datasets Through Self-Supervised Representation Learning

In this 17-minute short talk from the Eric and Wendy Schmidt Center Symposium on Biomedical Science and AI (April 30 - May 1, 2025), discover how Sandeep Kambhampati from Chen Lab at Harvard University presents TissueMosaic, an innovative approach that enables cross-sample differential analysis of spatial transcriptomics datasets through self-supervised representation learning. Learn about cutting-edge computational methods being developed at the intersection of AI and biomedical research as part of the Broad Institute's ongoing work in this field.