Stanford researchers have developed FlowSP, a generative AI model that predicts high-resolution 3D spatial maps of protein markers in tissue from limited imaging data.
Large-scale, granular biological datasets such as proteomic, metabolomic, and transcriptomic profiles are powering the current shift toward precision medicine.
Stanford researchers have developed a general system to regulate the activities of specific proteins in mammalian cells using cell-permeable, synthetic molecules.
Stanford researchers in the Mahajan Lab have created a customizable proteomics platform that can identify protein biomarkers to differentiate among ischemic eye diseases and identify novel therapeutic targets to treat them.