965-SIDISH: In Silico Perturbation for Precision Medicine

Paper Talk · May 13, 2026 · 25m

The paper introduces SIDISH, an innovative deep learning framework designed to bridge the gap between high-resolution single-cell RNA sequencing and the extensive clinical reach of bulk RNA sequencing. By utilizing an iterative learning process involving variational autoencoders and deep Cox regression, the system identifies specific high-risk cell subpopulations and genetic biomarkers directly linked to poor patient survival. Research findings demonstrate its versatility across various diseases, including pancreatic, breast, and lung cancers, where it successfully maps cellular dynamics to…