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Biomedical Informatics

NIH grant funds machine learning research into pediatric asthma

Researchers at the University of Florida College of Medicine are working to improve the lives and patient care of children suffering with asthma in the United States. Asthma is a disease common among more than 6 million children nationwide. Jennifer Fishe, MD, and Jie Xu, PhD, are principal investigators for this study.

MINDS AND MACHINES

Professors in our department are developing an AI tool to predict who will get Alzheimer’s disease up to five years before a diagnosis is made.

Staras and Ray win Exemplary Teacher Award 2023 

The UF College of Medicine has honored two of our faculty members with a 2023 Exemplary Teacher Award. Within the department of Health Outcomes and Biomedical Informatics (HOBI), the winners are Stephanie Staras, Ph.D., and Jessica Ray, Ph.D.

First Event on Artificial Intelligence and Learning Health Systems Finds Success

A new gathering co-sponsored by the University of Florida brought together 100 experts in medicine from across the U.S. to share ideas about the potential of artificial intelligence to supercharge health care. The event’s title was “Transforming Patient-Centered Health Care Delivery through an AI-enabled Learning Health System.”

A trio of grants brings $13 million for aging research using AI

A University of Florida researcher hit a grand slam that secured funding and launched three projects on September 1, 2023 for a combined value of $13.3 million. Jiang Bian, Ph.D., is a UF professor in Health Outcomes and Biomedical Informatics (HOBI) within the College of Medicine. The National Institute on Aging funded the three collaborative project grants.

UF team to study lung cancer screening in veterans

A team of University of Florida researchers led by Yi Guo, Ph.D., an associate professor in the department of health outcomes and biomedical informatics in the UF College of Medicine, has received a two-year $200,000 grant from the U.S. Department of Veterans Affairs to identify geographic hotspots of low adherence to lung cancer screening in veterans.