Quantifying cardiometabolic risks by AI based assay of photoplethysmogram data Grant uri icon

abstract

  • Quantitative assessment of risks for cardiometabolic diseases (CMDs) is essential for preventive healthcare and early diagnosis of serious conditions like cardiovascular diseases and metabolic disorders. Detecting a panel of clinically tested CMD biomarkers presents a multi-facet approach that can significantly reduce CMD risks and associated healthcare burden.

date/time interval

  • July 2026 - April 2029

contributor