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

Saved in:
Bibliographic Details
Title: Machine Learning to Predict Faricimab Treatment Outcome in Neovascular Age-Related Macular Degeneration.
Authors: Kikuchi Y; Roche Personalized Healthcare Program, Genentech, Inc., South San Francisco, California.; Department of Industrial Engineering and Operations Research, University of California, Berkeley, Berkeley, California., Kawczynski MG; Roche Personalized Healthcare Program, Genentech, Inc., South San Francisco, California., Anegondi N; Roche Personalized Healthcare Program, Genentech, Inc., South San Francisco, California.; Clinical Imaging Group, Genentech, Inc., South San Francisco, California., Neubert A; Data & Analytics, Roche Pharma Research and Early Development, Basel, Switzerland., Dai J; Roche Personalized Healthcare Program, Genentech, Inc., South San Francisco, California., Ferrara D; Roche Personalized Healthcare Program, Genentech, Inc., South San Francisco, California., Quezada-Ruiz C; Clinical Science, Genentech, Inc., South San Francisco, California.; Department of Ophthalmology, Clínica de Ojos Garza Viejo, San Pedro Garza, Garcia, Nuevo Leon, Mexico.
Source: Ophthalmology science [Ophthalmol Sci] 2023 Aug 18; Vol. 4 (2), pp. 100385. Date of Electronic Publication: 2023 Aug 18 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier, B.V Country of Publication: Netherlands NLM ID: 9918230896206676 Publication Model: eCollection Cited Medium: Internet ISSN: 2666-9145 (Electronic) Linking ISSN: 26669145 NLM ISO Abbreviation: Ophthalmol Sci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2666-9145
DOI:10.1016/j.xops.2023.100385