The Medicine and Center for Precision Data Sciences convenes diverse research teams to tackle today's healthcare challenges in data science, clinical care etc.
CATVariant is a new open-access webserver for studying genetic variants, integrating population, clinical, structural, and literature data with computational predictors to help interpret variant effects.
Read more: https://t.co/T76WH9OmnI | Explore: https://t.co/gtslXMCvTz
CPMDS Research Highlight 🔬
Computational models reveal how the autonomic nervous system regulates blood flow and blood pressure across molecular, cellular, and tissue scales, providing insights that could guide future precision cardiovascular therapies.
CPMDS Research Highlight 🔬 (Drs. @VorobyovUCD, @vyy_sf & @clancyatheart25)
Researchers used advanced simulations to reveal how ligands dissociate from membrane receptors, uncovering hidden molecular pathways that could improve drug discovery and precision therapeutics. 💻
🔬CPMDS Research Highlight
New eLife research introduces AI-powered “digital twins” of heart cells, using synthetic data and electrophysiology to predict cell-specific behavior. This work could advance precision medicine, drug safety testing, and arrhythmia research.
🔬CPMDS Research Highlight
New research shows how AlphaFold can predict hERG ion channel states, improving drug safety screening and helping identify arrhythmia risks earlier in drug development. A major step toward safer, AI-driven therapeutics. #AI#DrugDiscovery
🔬 CPMDS Research Highlight
New research highlights how AI and digital health technologies are improving healthcare quality and patient safety through proactive, data-driven care, clinical decision support, telehealth, and better care coordination. #AI#DigitalHealth
🔬CPMDS Research Spotlight (Dr. @DrHH_01)
New research highlights how advances in cardiovascular ion channel and Ca²⁺ signaling research are shaping future therapies for heart disease, including arrhythmias and heart failure. ❤️🫀
🔬 CPMDS Research Spotlight (Dr. Emilie Roncali): CFD is advancing cancer therapy by modeling blood flow & drug transport to improve targeting and reduce side effects. Integrating with imaging & AI could enable more personalized treatment. https://t.co/PmjtDpyBRe #CancerResearch
Associate Director for Computational Biomedicine Dr. @EmilieRoncali recently gave a keynote on theranostics digital twins and in silico models at the Virtual Imaging Trials in Medicine workshop 2026!!
Congrats to Frederick Ha who presented his research at the Undergraduate Research, Scholarship and Creative Activities Conference at UC Davis!
Image Description: Frederick stands at the front of a classroom giving a presentation.
Congratulations to @VorobyovUCD and Yen-Her Lai, winners of this quarter’s School of Medicine Research Image Competition!
Image descriptions: Dark blue representation of space with constellations. Photo of Lai holding a paper award and gift basket. Photo of Igor in gray suit.
CPDMS Research Spotlight (Dr. Deborah Lieu): New research in Stem Cell Reports reveals insights into how cellular programs regulate stem cell behavior, deepening our understanding of development and advancing potential applications in tissue repair and disease modeling 🧬✨