Center for Precision Medicine and Data Sciences (CPMDS) at UC Davis School of Medicine
The Center for Precision Medicine and Data Sciences (CPMDS) at UC Davis is a hub for cutting-edge research, interdisciplinary collaboration, and innovation in precision medicine. Our mission is to leverage advanced multi-omics, artificial intelligence, and computational modeling to drive personalized healthcare solutions and improve patient outcomes.
At CPMDS, we integrate genomic, transcriptomic, proteomic, and clinical data to redefine diagnostics and therapeutic development. Our research spans AI-driven disease modeling, precision drug discovery, and digital twin models for personalized treatment planning. We work at the intersection of genomics, bioinformatics, pharmacogenomics, and clinical medicine to uncover disease mechanisms and optimize patient-specific interventions.
By fostering collaborations across disciplines, we accelerate the translation of discoveries into clinical applications that enhance health outcomes for diverse populations. Ethical considerations, equitable access, and responsible data use are at the core of our approach.
Contact us to create the future of precision medicine through data-driven discovery and patient-centered innovation.
Our Projects
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.
