Center for Precision Medicine and Data Sciences (CPMDS) at UC Davis School of Medicine

Optical Digital Twins for Disease Prevention, Diagnosis, Therapy, and Intervention

Optical digital twins are opening new possibilities for disease prevention, diagnosis and personalized treatment.

A new perspective article, “Optical Digital Twins for Disease Prevention, Diagnosis, Therapy, and Intervention,” explores how advanced optical technologies, computational modeling and artificial intelligence could help transform the future of health care.

CATVariant (Nucleic Acids Research) for integrated variant interpretation

Every person carries small differences in their DNA. Some of these differences, often called variants, do very little. Others can change the amino-acid sequence of a protein, which may affect how that protein is built, folded, moved inside the cell, or how well it does its job. Because proteins carry out many of the body’s essential functions, even a small change can sometimes have important biological or medical consequences.

BoltzOmics (iScience) for AI-based drug-binding prediction

A mechanistic understanding of how genetic variants alter drug-receptor binding is central to precision medicine, drug response prediction, and drug development. Yet, experimental mutation-drug profiling remains slow and expensive, while existing computational approaches often trade accuracy for scalability.