Due to nations’ conflicting privacy regulations, de-identified clinical data needed for science doesn’t always travel so well internationally. A team turned to AI to generate a better class of fake people living with HIV.

As trustworthiness takes center stage in medical AI, a new paper in Nature Biomedical Engineering describes a solution for trustworthy AI cancer subtyping.

Three Department of Biostatistics faculty have won new leadership roles and honors in the American Statistical Association and the International Statistical Institute

The machine learning-derived model was 88% accurate in ranking preoperative patients according to risk for postoperative acute kidney injury.

Led by Simon Vandekar, PhD, a group of biostatisticians earned the honor for tools that help brain researchers tell strong, trustworthy findings from weak ones. Vanderbilt Health teams took two of 15 total NIH prizes.

Although Black and Hispanic people are more apt to have dementia, they are significantly less apt than other racial and ethnic groups to show Alzheimer's pathology on brain scans.