Machine Learning to Predict Faricimab Treatment Outcome in Neovascular Age-Related Macular Degeneration

PURPOSE: To develop machine learning (ML) models to predict, at baseline, treatment outcomes at month 9 in patients with neovascular age-related macular degeneration (nAMD) receiving faricimab. DESIGN: Retrospective proof of concept study. PARTICIPANTS: Patients enrolled in the phase II AVENUE trial...

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Detalles Bibliográficos
Autores principales: Kikuchi, Yusuke, Kawczynski, Michael G., Anegondi, Neha, Neubert, Ales, Dai, Jian, Ferrara, Daniela, Quezada-Ruiz, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585644/
https://www.ncbi.nlm.nih.gov/pubmed/37868796
http://dx.doi.org/10.1016/j.xops.2023.100385

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585644/
https://www.ncbi.nlm.nih.gov/pubmed/37868796
http://dx.doi.org/10.1016/j.xops.2023.100385

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