Jennye Laws-Woolf
June 4, 2021

Christman

12:00 noon CDT | via Zoom Webinar


"Older than stated age: Machine learning, late-life depression, and accelerated aging"

 

Objectives:

At the conclusion of the activity, participants will learn to:

  1. explain basic concepts behind machine learning and deep learning
  2. describe the potential role of accelerated brain aging in psychiatric disorders
  3. assess the significance of accelerated aging in late-life depression

CME credit for Psychiatry Grand Rounds is only available during the live feed time and for a brief time immediately following. The code for this week's session is displayed at the opening and closing of the meeting and also in the Chair's Office Zoom Account Name during the meeting.

 

AMA PRA Category 1 Credit™(1.00)  
CE (APA) (1.00) | Attendance (1.00)

 

The webinar can be viewed at the link below:

 June 4 Psychiatry Grand Rounds | Christman

This talk is sponsored by the

Department of Psychiatry and Behavioral Sciences
This educational activity received no commercial support.