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Artificial intelligence-based strategies to identify patient populations and advance analysis in age-related macular degeneration clinical trials

Yaghy, Antonio; Lee, Aaron Y; Keane, Pearse A; Keenan, Tiarnan DL; Mendonca, Luisa SM; Lee, Cecilia S; Cairns, Anne Marie; ... Waheed, Nadia K; + view all (2022) Artificial intelligence-based strategies to identify patient populations and advance analysis in age-related macular degeneration clinical trials. Experimental Eye Research , 220 , Article 109092. 10.1016/j.exer.2022.109092. Green open access

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Type: Article
Title: Artificial intelligence-based strategies to identify patient populations and advance analysis in age-related macular degeneration clinical trials
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.exer.2022.109092
Publisher version: https://doi.org/10.1016/j.exer.2022.109092
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Ophthalmology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10148669
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