First AuthorNeoplasms Associated with the Onset of Age-Related Macular Degeneration: A Case–Control Study Using the All of Us Cohort
E Wu, K Du, T Thomas, C Shin, J Jiang, J Navidzadeh, N Hasan, J Yao, et al.
In Review
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Publications
Selected publications across machine learning, medicine, and mathematical biology. For a complete list, visit my Google Scholar.
2026
First AuthorNovel Systemic Associations of Idiopathic Epiretinal Membrane Identified via Machine Learning
E Wu, J Jiang, N Hasan, K Du, M Zhang, KK Vupparaboina, SC Bollepalli, JA Sahel, J Chhablani
First AuthorSystemic Immune Signatures Predict Idiopathic Epiretinal Membrane: An Interpretable Machine Learning Approach
E Wu, A Liu, JY Jiang, J Yao, JO Navidzadeh, N Hasan, J Chhablani
Investigative Ophthalmology & Visual Science
Machine Learning Identifies Eye Diagnosis Signatures Linked to Self-Rated Mental Health in the All of Us Research Program
KC Du, E Wu, JO Navidzadeh, JY Jiang, J Yao, J Chhablani
Investigative Ophthalmology & Visual Science
Machine-Learning Oculomics Identifies Tooth–Eye Associations in a National Cohort
TN Tanner, E Wu, J Navidzadeh, C Chiang, J Yao, JY Jiang, J Chhablani
Investigative Ophthalmology & Visual Science
Machine Learning Reveals Potential Systemic Anti-Inflammatory Medications to Reduce Risk of AMD Onset
C Chiang, E Wu, T Thomas, JY Jiang, JO Navidzadeh, J Chhablani
Investigative Ophthalmology & Visual Science
Seeing Beyond the Eye: Interpretable AI Screening of Systemic Diseases Using All of Us Ophthalmic Data
JO Navidzadeh, E Wu, JA Sahel, J Chhablani
Investigative Ophthalmology & Visual Science
Predicting Dry to Wet Age-Related Macular Degeneration Conversion Through Systemic Comorbidities
J Yao, E Wu, TN Tanner, JY Jiang, J Navidzadeh, N Hasan, J Chhablani
Investigative Ophthalmology & Visual Science
Antihypertensive Medication and Age-Related Macular Degeneration Onset: Machine-Learning Insights From the All of Us Research Program
C Liu, E Wu, J Yang, T Thomas, J Chhablani
Investigative Ophthalmology & Visual Science
2025
Investigating the Role of Social Determinants of Health in Age-Related Macular Degeneration Using Machine Learning
M Zhang, J Yao, J Jiang, E Wu, K Du, N Hasan, JA Sahel, J Chhablani
Digital Health Summit (Abstract)
Machine Learning-Based Prediction of Idiopathic Pulmonary Fibrosis Using the All of Us Dataset
B Woolley, E Wu, H Walter, M Koenigshoff, C Kliment
Digital Health Summit (Abstract)
Predicting Post-Diagnostic Cognitive Impairment in Patients with Schizophrenia Using Interpretable Machine Learning Algorithms
D Kerr, E Wu, M Grubisha
Digital Health Summit (Abstract)
First AuthorPredicting Early Onset of Age-Related Macular Degeneration: A Machine Learning Approach
E Wu, N Hasan, S Vupparaboina, J Jiang, K Du, J DeCicco, E Sadeghi, et al.
American Journal of Ophthalmology2 citations
Spatially Discontinuous Mutation Topographies in Ductal Carcinoma In Situ Reveal Noncompetitive Growth Dynamics
MD Ryser, MA Greenwald, D Monyak, IC Sorribes, L King, A Hall, E Wu, et al.
Benchmarking Diffusion Models Against State-of-the-Art Architectures for OCT Fluid Biomarker Segmentation
K Du, U Doshi, B DiCenzo, J Jiang, E Wu, A Gadari, SC Vupparaboina, et al.
First AuthorIdentifying Key Co-Morbidities for Predicting Early-Onset Age-Related Macular Degeneration Using Machine Learning
E Wu, N Hasan, SC Vupparaboina, JY Jiang, J DeCicco, K Vupparaboina, et al.
Investigative Ophthalmology & Visual Science
2024
2023
Impact of Cannabis Use on Immune Cell Populations and the Viral Reservoir in People with HIV on Suppressive Antiretroviral Therapy
SD Falcinelli, AD Cooper-Volkheimer, L Semenova, E Wu, A Richardson, et al.
Growth Dynamics of Ductal Carcinoma in Situ Recapitulate Normal Breast Development
MD Ryser, MA Greenwald, IC Sorribes, LM King, A Hall, E Wu, et al.