"Older than stated age: Machine learning, late-life depression, and accelerated aging"
Seth Christman, MD
Objectives
At the conclusion of the activity, participants will learn to:
- explain basic concepts behind machine learning and deep learning
- describe the potential role of accelerated brain aging in psychiatric disorders
- assess the significance of accelerated aging in late-life depression
This talk is sponsored by the Department of Psychiatry and Behavioral Sciences. This educational activity received no commercial support.