artificial intelligence (AI) Archive — Page 2 of 7

Abstract digital visualization of colorful data streams converging across a dark grid, with binary code, charts, network nodes, and percentage indicators.
January 5, 2026

AI gets risk wrong in the clinic

Large language models have become far better than you at solving math problems but may still be bad at employing probabilistic terms in medical contexts.

Glowing circuit-board graphic centered on a microchip labeled “AI,” with branching electronic connections and chat-bubble symbols against a blurred blue and purple background.
November 18, 2025

Quantum computing team including Sunho Park wins competitive award

Their work focused on determining tissue and electrophysiological properties of the heart based on existing imaging approaches using quantum computing.

3D illustration of a blood clot lodged inside a blood vessel, partially blocking the flow of red blood cells.
November 11, 2025

AI recruited to lower leading cause of preventable hospital deaths

Risk of VTE rises in hospitals due to factors such as patient immobility, effects from major surgery, and use of indwelling medical devices like central lines.

Cryogenic electron microscopy (cryo-EM) resolution of the structure of a respiratory syncytial virus fusion protein (shades of pink) bound to fragments of two antibodies (dark/light and blue/green) designed by the researchers’ protein language model, MAGE.
November 4, 2025

AI can speed antibody design to thwart novel viruses: study

While the study focused on development of antibody therapeutics against existing and emerging viral threats, the implications of the research are much broader.

(AdobeStock)
November 3, 2025

Artificial HIV patients do their part for science

To speed HIV research, VUMC scientists are drafting droves of people who do not exist to serve as research subjects.

Diagram of the MAI-T1D project showing a multi-omics foundation model integrating genomics, epigenomics, transcriptomics, proteomics, spatial omics, clinical data, and metabolomics, with co-design and AI ethics principles including interpretability, privacy, unbiasedness, and transparency.
October 20, 2025

Collaborative forms to better predict, prevent and treat Type 1 diabetes

The new project will map Type 1 diabetes progression using multimodal artificial intelligence alongside a wide range of health data.