Researchers at UCSF have combined mechanobiology and AI to predict how cells respond to mechanical forces. Using advanced imaging and traction force measurements, the study illustrates how machine learning can decipher complex cellular interactions, paving the way for improved models in disease analysis and biomedical applications.