Although doctors have some tools for addressing chronic pain, figuring out who is most at risk for developing it is no easy feat. But a new study, conducted by researchers at the University of Florida and other institutions, uses artificial intelligence (AI) to predict which breast cancer patients are most at risk for developing chronic pain.
Publishing their results in Nature Biomedical Engineering, the scientists describe using a large language model - an AI tool like the one that powers ChatGPT - to engineer a version of a bacteria-killing drug that was previously toxic in humans, so that it would be safe to use.
The system, developed by Diego Guarin, Ph.D., an assistant professor of applied physiology and kinesiology in the UF College of Health and Human Performance, applies machine learning to analyze video recordings of patients performing the finger-tapping test, a standard test for Parkinson's disease that involves quickly tapping the thumb and index finger 10 times.