Researchers at the University of California, Davis have developed a machine learning system for accurately separating fetal signals from mixed maternal-fetal photoplethysmography signals acquired non-invasively to enable fetal physiological parameter monitoring.

Brief description not available

Researchers at the University of California, Davis have developed a novel nanobody specific for WISP2 that restores skeletal stem cell function to treat bone loss and promote bone growth in age-related bone diseases.

Brief description not available

An advanced wearable bio-electronic device for non-invasive abnormality prediction, early diagnostics, and disease prevention.

An innovative PEG hydrogel system covalently bound with insulin to safely and effectively prime mesenchymal stem cells (MSCs) and enhance their therapeutic potential in wound healing.

A multimodal, wireless wearable device enabling continuous and detailed stress assessment and subclassification.

Researchers at the University of California, Davis have demonstrated that THR-β agonists such as resmetirom, when repurposed, can effectively treat heart failure with preserved ejection fraction (HFpEF), addressing unmet clinical needs.

Researchers at the University of California, Davis have developed a machine learning system that accurately detects and estimates retinal inflammation severity in uveitis patients using non-invasive OCT B-scan images.

Brief description not available

Brief description not available

Brief description not available

Brief description not available

Brief description not available

Brief description not available

Brief description not available

Brief description not available

Brief description not available

Brief description not available

Brief description not available

Brief description not available

Brief description not available

Brief description not available

Brief description not available

Brief description not available