In a landmark study published in Science Advances, Vanderbilt researchers have created the first high-resolution lipid atlas of the human kidney, mapping over 100,000 functional tissue units across 29 donors. By integrating advanced imaging mass spectrometry with microscopy using machine learning, the team identified distinct lipid signatures that could transform diagnostics and precision treatments for kidney disease.

Insilico Medicine, a clinical-stage biotechnology company driven by generative artificial intelligence (AI), today announces the development of novel pan-KRAS inhibitors of new chemotypes through structure-based drug design, scaffold hopping combined with intense molecular modeling, empowered by the generative chemistry methods of Chemistry42, Insilico’s proprietary generative chemistry platform. Developed in the joint efforts of artificial intelligence and human expertise, the candidate compounds demonstrated pan-KRAS inhibition with potency in the upper nanomolar range. The results have been recently published on ACS Medicinal Chemistry Letters.