Digital Health: Predictive Diagnosis of Ocular Disease

- Digital Health Graphic

Digital Health: Predictive Diagnosis of Ocular Disease            REGISTER HERE

DATE: Tuesday, May 4

TIME: Noon - 1PM Pacific

The webinar is FREE but you must Register!

ABOUT: 

Diseases of the eye are hard to predict and challenging to treat. By using AI to automate and quantify images, researchers and clinicians have developed faster and more reliable ways to diagnosis such disorders sooner, leading to better outcomes. Learn more from UCLA world experts and innovators during TDG’s Predictive Diagnosis of Ocular Diseases Webinar, part 1 of 2 of our Digital Health Series.

 

PANELISTS:

Eran Halperin, Professor in the departments of Computer Science, Computational Medicine, Anesthesiology, and Human Genetics

Ali Hatamizadeh, Graphics & Vision Laboratory, UCLA Computer Science Department, NVDIA

Srinivas Sadda, Stephen J. Ryan-Arnold and Mabel Beckman Foundation Endowed Presidential Chair, UCLA Stein Eye Institute

Joel Kehle, Business Development Officer, UCLA Technology Development Group