Machine learning-driven multifunctional peptide engineering for sustained intraocular pressure lowering (NEI R01)
Amount
Not specified
Deadline✓ Verified
Aug 31, 2030
Funder
National Eye Institute
Eligible
open to all
About This Grant
PROJECT SUMMARY Glaucoma is the leading cause of irreversible vision loss worldwide. Intraocular pressure (IOP) reduction is the only clinically proven approach to prevent glaucomatous vision loss, and eye drops are the most common modality for IOP lowering. However, poor patient adherence to eye drop regimens is a significant barrier to effective IOP reduction and prevention of disease progression. As glaucoma is a chronic disease that typically requires treatment for years or even decades, there is considerable interest in sustained drug delivery platforms for glaucoma treatment. The most common approach for developing sustained delivery systems is to employ a degradable or non-degradable matrix that both contains the drug and controls the rate at which drug exits the device. Even for a biodegradable matrix, the rate of matrix degradation may be much slower than the duration of drug release, resulting in accumulation of excipients and ocular side effects. Our approach utilizes peptid
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