Our 4 core faculty members have secured more than 15 million research funding from federal and private agencies including National Institutes of Health, National Science Foundation, Research To Prevent Blindness, BrightFocus Foundation, Alcon Research Institute, Massachusetts Lions Eye Research Fund, Grimshaw-Gudewicz Foundation, Genentech, Massachusetts Institute of Technology, and Harvard Medical School.
Below are recent representative research grants from federal agencies:
- Developing Equitable Deep Learning Models for Automated Glaucoma Screening (NIH R01, PI: Dr. Mengyu Wang)
- Enhancing Glaucoma Risk Prediction through Advanced Genomics and Machine Learning (NIH R01, PI: Dr. Nazlee Zebardast)
- Personalizing Glaucoma Diagnosis by Disease Specific Patterns and Individual Eye Anatomy (NIH R01, PI: Dr. Tobias Elze)
- Relationship between Glaucoma and the Three-Dimensional Optic Nerve Head Related Structure (NIH K99/R00, PI: Dr. Mengyu Wang)
- Glaucoma Risk Prediction Using Machine Learning Integration of Image-Based Phenotypes and Genetic Associations (NIH K23, PI: Dr. Nazlee Zebardast)
- Associating Retinal Nerve Fiber Layer Thickness with Glucose Metabolism and Diabetic Retinopathy (NIH R21, PI: Dr. Tobias Elze)
- A Hybrid Artificial Intelligence Framework for Glaucoma Monitoring (NIH R21, Multiple PI: Dr. Tobias Elze)
- Personalizing Circumpapillary Retinal Nerve Fiber Layer Thickness Norms for Glaucoma (NIH R21, PI: Dr. Mengyu Wang)
- Sociodemographic Predictors of Healthcare Utilization and Adverse Outcomes in Medicare Beneficiaries with Glaucoma (NIH R21, PI: Dr. Nazlee Zebardast)
- STTR Phase I: A Pair of Linked Cartographic Maps of our Brain Derived from Clinical Glaucoma Data (NSF STTR, Site PI: Dr. Tobias Elze)
- Statistical Unsupervised Learning VF for IIHTT & ONTT (NIH R21, Site-PI: Dr. Tobias Elze)
- Core Grant for Vision Research-Laboratory Computer Applications Module (LCAM) (NIH P30, Module-PI: Dr. Tobias Elze)
- Impact of Peripheral Islands in the Visual Field on Functional Ability in Patients with Retinitis Pigmentosa (NIH R21, Co-Investigator: Dr. Tobias Elze)
- Understanding the clinical impact of cumulative genetic risk to glaucoma (NIH, Co-Investigator: Dr. Tobias Elze)
Here are recent representative research grants from private agencies:
- External Eye Photos for Diabetic Retinopathy Detection with Equity-Aware Deep Learning (MIT-MGB AI Cures Grant, PI: Dr. Mengyu Wang)
- Computational Investigation of Glaucoma Progression (BrightFocus National Glaucoma Research, PI: Dr. Tobias Elze)
- Statistical Pattern Based Progression Detection in Glaucoma (Alcon Young Investigator Grant Award, PI: Dr. Mengyu Wang)
- Clinical Features and Genetic Risk Factors Associated with Machine-Learning-Derived Image-Based Glaucoma Subtypes (Research to Prevent Blindness Career Development Award, PI: Dr. Nazlee Zebardast)
- Diagnosing Glaucoma in the Presence of Myopia (Massachusetts Lions Eye Research Fund, PI: Dr. Tobias Elze)
- Improving Circumpapillary Retinal Nerve Fiber Layer Thickness Norms and Its Clinical Utility Based on Individual Retinal Anatomy (Research to Prevent Blindness International Research Collaborators Award, PI: Dr. Mengyu Wang)
- Developing Deep Learning Models to Predict Age-Related Macular Degeneration and Its Progression (Grimshaw-Gudewicz Foundation, PI: Dr. Mengyu Wang)
- Retinal Biomarkers for Cognitive Performance (Harvard Medical School Alice Adler Fellowship, PI: Dr. Tobias Elze)
- A Novel Staging System for Dry Age-related Macular Degeneration (Grimshaw-Gudewicz Foundation, PI: Dr. Tobias Elze)
- Association Between Retinal Structure and Age-Related Impairments (Research to Prevent Blindness Unrestricted Grant, PI: Dr. Tobias Elze)
- Diagnostic Utilities of Macular Optical Coherence Tomography Scans in Glaucoma (Research to Prevent Blindness Unrestricted Grant, PI: Dr. Mengyu Wang)
- Optimal Patient Recruitment Algorithms for Glaucoma Clinical Trials (Genentech, PI: Dr. Tobias Elze)
- SERI Scholar Award (Schepens Eye Research Institute, PI: Dr. Tobias Elze)