Event Speaker

Homa Rashidisabet, PhD

Research Assistant Professor

University of Illinois Chicago

Homa is a Research Assistant Professor in the Department of Ophthalmology and Visual Sciences at the University of Illinois Chicago (UIC). Her research focuses on developing advanced AI solutions for detecting abnormalities and predicting blinding ophthalmic conditions, such as glaucoma and diabetic retinopathy, using fundus and optical coherence tomography (OCT) images.

Sessions

AI for Imaging Biomarkers Scientific Research Abstracts

Presented by Kaveri Thakoor, PhD, Vincent Dong, MS, Homa Rashidisabet, PhD in Ophthalmology, Radiology Jun 11, 2026 | 7:30 AM.

Diabetic Retinopathy Progression Classification and Analysis of Retinal Signature Changes in Fundus Images Homa Rashidisabet, PhD, Research Assistant Professor, University of Illinois Chicago Andrius Kazlauskas, PhD; Darvin Yi, PhD Radiomic Characterization of Background Parenchymal Enhancement on Breast DCE-MRI: A Preliminary Risk Stratification Study Vincent Dong, MS, PhD Candidate, University of Pennsylvania Carla Zeballos Torrez, MD,…

Eyes on AI: Advancing Ophthalmic Imaging and Oculomics for Systemic Health Insights

Presented by Kaveri Thakoor, PhD, Kyle Bolo, MD, Kerry E. Ashby, MS, John Giannini, PhD, Syed Haqqani, MS, Amberlynn Reed, MPH, Homa Rashidisabet, PhD in Ophthalmology, Radiology Jun 10, 2026 | 1:45 PM.

Ophthalmic imaging is rapidly becoming a cornerstone of both precision medicine and AI-driven disease prediction, offering unprecedented insight into ocular and systemic health. Advances in fundus photography, OCT, and deep learning have expanded the clinical and research potential of retinal biomarkers—supporting early detection of eye disease, forecasting systemic conditions, and enabling large-scale population health studies.…