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Deep learning with multimodal data can predict imminent conversion to wet Age-Related Macular Degeneration

Team: Obsidian

Program: Biomedical Engineering
Course: Precision Care Medicine
Year: 2023

Project Description:

Development of a deep learning framework that improves prediction of imminent conversion from the dry form to the wet form of age related macular degeneration using optical coherence tomography imaging.

Project Photo:

Photo shows four slices of a three-dimensional optical coherence tomography (OCT) scan in black and white.

Student Team Members

Madeleine S. Gastonguay
Yujie Zhao
Todd Hatrman
Gwyneth Alexander
Kareef Ullah

Course Faculty

Project Mentors, Sponsors, and Partners

Research to Prevent Blindness Career Development Award, Awarded to Alvin Liu
Alvin Liu
Craig Jones
Yuxuan Liu
Joseph L Greenstein
Casey Overby Taylor