Artificial Intelligence

Representatives from academia, industry and government gathered for DAISY 2024.

Their study used AI to predict the emergence of dominant Omicron COVID-19 variants with very high precision and accuracy.

The AI Fellows program fosters doctoral students’ training and research in AI and encourages out-of-the-box ideas.

It is important for medical experts to examine AI solutions results to ensure accuracy in diagnosing and treating patients.

Dr. Sai Zhang and colleagues will apply AI to an analysis of the different types of central nervous system cells affected by ALS.

Ph.D. students Raghuveer Chandrashekhar and Jordan Major have been selected to take part in 2024 SIMUVACTION on AI.

The project combines a massive dataset of sophisticated muscle imaging data with UF’s powerful artificial intelligence computing.

Her illustration was selected as one of the winning images in the annual Coalition for Academic Scientific Computation image contest.

Adams-Mitchell hopes to advance scientific understanding of sickle cell disease.

Dr. Hollea Ryan, Dr. Yiyang Liu and Dr. Rebecca Willcocks are among some of the first recipients of PHHP Research Innovation Fund awards.