These models are crucial to understanding disease mechanisms and identifying new treatment opportunities.

Representing all 67 counties, participants have benefited from AGHI’s commitment to accessible, expert-guided genomic services.

Snekha Rajasekaran plans to leverage her passion for medicine and social welfare to become a service-oriented physician-scientist, improving lives in Alabama and beyond.

This investment marks a critical step forward in harnessing cutting-edge technology to revolutionize the accessibility and application of biomedical data science.

A cluster analysis in the Deep South showed that racial background significantly influences diabetes subtype distribution.

Having a bacterial infection at the same time as COVID-19 is a greater risk factor for COVID-19 severity and mortality than previously described risk factors such as advanced age, male sex or various comorbidities.

Use of the diabetes drug metformin — before a diagnosis of COVID-19 — was associated with a threefold decrease in mortality in COVID-19 patients with Type 2 diabetes.

mediKanren, an "analytic engine" designed by UAB researchers, can sift 97 million assertions in seconds to find new treatments for patients and research avenues for scientists.