# Machine learning to design peptides for eye medicines

> Maryland and Johns Hopkins will use a $2.35 million grant to develop machine-learning-designed peptides for longer-lasting eye medicines.

- Canonical URL: https://newsverum.com/en/news/umd-machine-learning-peptide-longer-lasting-eye-drug-delivery-2026
- Publisher: Newsverum
- Section: Technology
- Country: United States
- Published: 2026-10-15T23:48:24+00:00
- Updated: 2026-10-15T23:48:24+00:00
- Event / data period: 2026-10-14
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Researchers at the University of Maryland and Johns Hopkins plan to use machine learning to design drug-delivery peptides intended to bind ocular melanin, penetrate eye tissue and remain non-toxic. A new $2.35 million National Eye Institute grant supports preclinical laboratory work on longer-lasting eye medicines.

The project builds on a 2023 study in which a 12-amino-acid peptide extended the eye retention of the glaucoma drug brimonidine from eight days to as long as 18 days. The new project has not produced a clinically tested drop or a treatment that replaces injections.

## Data

### Research announcement

Methodology: The event date follows the source institution’s announcement. Results are limited to the study or institutional report; prospective applications are not presented as completed products or clinical outcomes.

| date | label | description | status |
|---|---|---|---|
| 2026-10-14 | Machine learning to design peptides for eye medicines | Maryland and Johns Hopkins will use a $2.35 million grant to develop machine-learning-designed peptides for longer-lasting eye medicines. | occurred |

Sources: <https://www.umiacs.umd.edu/news-events/news/how-ai-could-turn-invasive-eye-injections-simple-eye-drops> · Download data: [JSON](https://newsverum.com/api/v1/articles/umd-machine-learning-peptide-longer-lasting-eye-drug-delivery-2026/data/research-announcement?lang=en&format=json) · [CSV](https://newsverum.com/api/v1/articles/umd-machine-learning-peptide-longer-lasting-eye-drug-delivery-2026/data/research-announcement?lang=en&format=csv)

### Source-reported indicators

Methodology: These are source-announced grants or study indicators; the date is the report day. Grants are not expenditure; classification and chemistry findings retain the reported experiment/model scope.

| label | value | unit | period | basis | value_qualifier |
|---|---|---|---|---|---|
| Announced NEI research grant | 2.35 | million USD | 2026-10-14 | observed | exact |

Sources: <https://www.umiacs.umd.edu/news-events/news/how-ai-could-turn-invasive-eye-injections-simple-eye-drops> · Download data: [JSON](https://newsverum.com/api/v1/articles/umd-machine-learning-peptide-longer-lasting-eye-drug-delivery-2026/data/reported-observations?lang=en&format=json) · [CSV](https://newsverum.com/api/v1/articles/umd-machine-learning-peptide-longer-lasting-eye-drug-delivery-2026/data/reported-observations?lang=en&format=csv)

## Sources

- [University of Maryland Institute for Advanced Computer Studies](<https://www.umiacs.umd.edu/news-events/news/how-ai-could-turn-invasive-eye-injections-simple-eye-drops>) (Source checked: 2026-10-15; Published: 2026-10-14)

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