<p>PREVENT – Predicting Reactions and Enhancing Vigilance in Elderly Insulin TreatmentGauri Vaidy</p>

Dara O'Malley; Chris Brophy; Adam Martin; Mark Hughes; Michael McCarthy; Gauri  Vaidya; Meghana  Kshirsagar

doi:10.7490/f1000research.1120166.1

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O'Malley D, Brophy C, Martin A et al. PREVENT – Predicting Reactions and Enhancing Vigilance in Elderly Insulin TreatmentGauri Vaidy [version 1; not peer reviewed]. F1000Research 2025, 14:460 (poster) (https://doi.org/10.7490/f1000research.1120166.1)

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PREVENT – Predicting Reactions and Enhancing Vigilance in Elderly Insulin TreatmentGauri Vaidy

Dara O'Malley¹, Chris Brophy¹, Adam Martin, Mark Hughes¹, Michael McCarthy, Gauri Vaidya, Meghana Kshirsagar

Published 24 Apr 2025 (https://doi.org/10.7490/f1000research.1120166.1)

Author Affiliations

¹ Department of Computer Science and Information Systems, University of Limerick, Limerick, County Limerick, Ireland

Copyright © 2025 O'Malley D et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 24 Apr 2025

PREVENT – Predicting Reactions and Enhancing Vigilance in Elderly Insulin TreatmentGauri Vaidy
[version 1; not peer reviewed]

Dara O'Malley¹, Chris Brophy¹, Adam Martin, Mark Hughes¹, Michael McCarthy, Gauri Vaidya, Meghana Kshirsagar

Author Affiliations

¹ Department of Computer Science and Information Systems, University of Limerick, Limerick, County Limerick, Ireland

Presented at

BEACON, 2025

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Insulin, Older Adults, Adverse Drug Reactions, AI, Predictive Model, Beacon 25

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