Vanderbilt biostatisticians have developed an immunotherapy response model that outperforms existing predictive models.

An automated solution for creating phenotyping algorithms, PheNorm, worked well to identify symptomatic COVID-19 cases in electronic health records, suggesting that automation could speed high-throughput phenotyping of acute disease.

Collegiate tennis and golf athletes aren’t using enough sunscreen according to a recent survey; meanwhile, the deadly skin cancer melanoma is on the rise.

The traditional definition of health care-associated influenza leads to gross undercounting, a Vanderbilt study suggests.

Neuroscientist Véronique Belzil, PhD, MS, will join Vanderbilt University Medical Center as associate professor of Neurology and director of ALS (amyotrophic lateral sclerosis) research.

A Vanderbilt study found that automated suicide risk prediction models operating on electronic health records could help clinical teams efficiently identify patients for face-to-face suicide risk screening and prevention.