Description

This course is an integrated approach to neurological diseases, which includes background information as well the diagnosis, the treatment, and the biological mechanisms of the diseases under study. The topic for Fall 2024 is “Artificial Intelligence (AI) and the Brain.” Combining the expertise of faculty members from both the McWilliams School of Biomedical Informatics (SBMI) and McGovern Medical School, we highlight research collaborations within UTHealth Houston. The series of lectures provides instruction on disease foundations along with discussions of applied informatics research utilizing artificial intelligence. Alzheimer’s disease, depression, stroke, epilepsy, addiction, and movement disorders are some of the selected topics. Large language models (LLMs), stable diffusion models, and general adversarial networks (GANs) are some of the methodologies discussed. Prior experience with generative AI tools is not required.

This course is open to graduate students, medical students, residents, and postdoctoral fellows.