Machine learning-based ASCVD risk calculator outperforms ACC/AHA standard

A machine learning-based risk calculator developed to assess an individual’s long-term risk for atherosclerotic cardiovascular disease (ASCVD) identified 13 percent more high-risk patients and recommended unnecessary statin therapy 25 percent less often than standard risk assessment tools in initial tests, researchers reported in the Journal of the American Heart Association.

Husband-and-wife duo receives $1.8M to study new imaging technique for breast cancer patients

Shayna Showalter, MD, and Timothy Showalter, MD

Shayna Showalter, MD, and Timothy Showalter, MD | Photo courtesy of Dan Addison and the University of Virginia 

Radiation oncologist Timothy Showalter, MD, and breast cancer surgeon Shayna Showalter, MD, of the University of Virginia Cancer Center in Charlottesville, have been awarded a five-year grant of more than $1.8 million for their work on improving care for early-stage breast cancer patients.