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.
![[thumbnail of YEXER-S-22-00105 copy.pdf]](https://discovery.ucl.ac.uk/style/images/fileicons/text.png) |
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YEXER-S-22-00105 copy.pdf - Accepted Version Access restricted to UCL open access staff until 5 May 2023. Download (776kB) |
| Type: | Article |
|---|---|
| Title: | Artificial intelligence-based strategies to identify patient populations and advance analysis in age-related macular degeneration clinical trials |
| Location: | England |
| 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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