Education

UTHealth Neuroscience Research Center and The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences
Current Topics in the Neurobiology of Disease – GS14 1021

Artificial Intelligence (AI) and the Brain

Directors: Amy Franklin, PhD, and John Byrne, PhD

Course 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. Upon successful completion of the course, students will • Discuss the emerging trends in medical artificial intelligence for neuroscience • Identify the ethical and real-world implementation implications of generative AI models • Consider the potential of AI methodologies in supporting neuroscience research, treatment, and discovery

Current Topics in the Neurobiology of Disease – Fall 2024_Lecture Schedule

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

Course Requirements: Attendance and completion of final essay (based on a course lecture, Postdoctoral fellows are exempt)

Lecture Time and Location:
August 27 through December 10, 2024
Tuesdays, 12:00 p.m. – 1:00 p.m.
McGovern Medical School MSB 7.037