Displaying items by tag: informatics institute

Students and community members can learn how they can be included in shaping the future of health care for generations to come by joining us for an All of Us Research Program enrollment event.
Record $95 million Heersink lead gift to advance strategic growth and biomedical innovation.
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Researchers used a pig model of heart attacks, which more closely resembles the human heart in size and physiology, and thus has high clinical relevance to human disease.
PAGER-CoV offers a data-driven, precision medicine approach to help researchers around the world better understand COVID-19.
The Altec Styslinger Genomic Medicine and Data Sciences Building will help cement UAB’s place as a leading research institution in genomic and precision medicine.
UAB’s CCTS joins a nationwide collaboration creating a secure, central database of electronic health records from coronavirus patients.
UAB’s Jim Cimino, director of the Informatics Institute, was honored with one of the most prestigious awards in the field of informatics.
Jake Chen becomes UAB’s third elected fellow of the American College of Medical Informatics
Alabama’s new Commission on Artificial Intelligence boasts two information leaders from UAB.
The 16th Annual Conference of the Midsouth Computational Biology and Bioinformatics Society will be held March 28-30 and UAB’s third Annual Transformative and Translational Informatics Symposium will be on March 28. 
Supercomputer access, massive storage, collaborative coding — UAB Biomedical Research Information Technology Enhancement (U-BRITE) is a collection of tools designed to break down the barriers between researchers and their data.
The five-year funding award will support the Southern All of Us Network, part of the All of Us Research Program, a nationwide research program to transform how research is conducted to advance individualized prevention, treatment and care for people of all backgrounds.
The AGHI is one of the nation’s first statewide efforts to harness the power of genomic analysis to identify those at high risk for genetic disease.
Researchers study the mechanisms that prevent autoimmune diseases like rheumatoid arthritis, systemic lupus erythematosus or multiple sclerosis after an infection.
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