Harvard AI and Robotics Lab has secured more than 5 million research funding from federal and private agencies including National Institutes of Health, Research To Prevent Blindness, Alcon Research Institute, Grimshaw-Gudewicz Foundation, and Massachusetts Institute of Technology.
Below are recent representative research grants from federal agencies:
- Developing Equitable Deep Learning Models for Automated Glaucoma Screening (NIH R01, PI: Dr. Mengyu Wang)
- Relationship between Glaucoma and the Three-Dimensional Optic Nerve Head Related Structure (NIH K99/R00, PI: Dr. Mengyu Wang)
- Personalizing Circumpapillary Retinal Nerve Fiber Layer Thickness Norms for Glaucoma (NIH R21, PI: Dr. Mengyu Wang)
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)
- Statistical Pattern Based Progression Detection in Glaucoma (Alcon Young Investigator Grant Award, PI: Dr. Mengyu Wang)
- 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)
- Diagnostic Utilities of Macular Optical Coherence Tomography Scans in Glaucoma (Research to Prevent Blindness Unrestricted Grant, PI: Dr. Mengyu Wang)