Biologically-Validated A.I. Yields Breakthrough in Cardiovascular Disease

Researchers at U.S.-based WuXi NextCODE and the Yale School of Medicine published two new studies in the Journal of Experimental Medicine and Nature Metabolism on novel, artificial intelligence (A.I.) approaches that breathe new life into big data for complex diseases. A deep dive into these publications demonstrates breakthrough, biologically-validated A.I. approaches with the potential to understand virtually any disease in much greater detail using cost-effective designs of therapeutics. With precision medicine poised to transform patient care, the big data revolution in healthcare and drug development has taken center stage. Yet, the promise of precision medicine hinges on the ability to reduce the complex interconnections of large, multi-omic data sets into useful biological information. One of the long-term promises of precision medicine is to understand underlying disease mechanisms to ultimately improve our ability to diagnose, treat, and prevent a diverse array of conditions.