AI Identifies Cell Shapes to Reveal Drug Effects
Researchers at Princeton University have developed a machine-learning tool capable of identifying previously unknown drug effects by analyzing the physical shapes of biomolecular condensates within human cells. According to a study published in the journal Cell, this AI-driven approach detected a novel “flower” morphology in the nucleolus, a cell structure responsible for protein assembly, which … Read more