?? Since the COVID-19 pandemic, infectious disease researchers have increasingly sought to understand the role racial and sociodemographic factors play in disease spread to help identify who might be more vulnerable to infection. ?? GOHA Affiliate Member Cristina Lanzas along with Ph.D. student Umang Joshi used artificial intelligence to determine a link between sociodemographic factors and the diagnosis of health care-associated infections across four hospitals in a major U.S. city. "Working to find new ways to identify who is at risk and bringing that understanding to the table is always useful for finding new methods of disease control." - Cristina Lanzas Learn more ??
INVESTIGATING INFECTION: Which patients are more likely to contract bacterial infections in human hospitals? #NCStateVetMed Ph.D. student Umang Joshi and Dr. Cristina Lanzas, a professor of infectious disease, teamed up to answer this question. They used AI to model data from four hospitals in a major U.S. city and determined a link between sociodemographic factors and the diagnosis of health care-associated infections. Joshi will present his research at the College of Veterinary Medicine’s annual Litwack Research Forum on Wednesday. Learn how his and Lanzas' study can help address health care disparities in this Q&A:?https://lnkd.in/eC5muriB
