Machine Learning to Predict Faricimab Treatment Outcome in Neovascular Age-Related Macular Degeneration.
Saved in:
| 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 |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 37868796 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Machine Learning to Predict Faricimab Treatment Outcome in Neovascular Age-Related Macular Degeneration. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kikuchi+Y%22">Kikuchi Y</searchLink>; Roche Personalized Healthcare Program, Genentech, Inc., South San Francisco, California.; Department of Industrial Engineering and Operations Research, University of California, Berkeley, Berkeley, California.<br /><searchLink fieldCode="AU" term="%22Kawczynski+MG%22">Kawczynski MG</searchLink>; Roche Personalized Healthcare Program, Genentech, Inc., South San Francisco, California.<br /><searchLink fieldCode="AU" term="%22Anegondi+N%22">Anegondi N</searchLink>; Roche Personalized Healthcare Program, Genentech, Inc., South San Francisco, California.; Clinical Imaging Group, Genentech, Inc., South San Francisco, California.<br /><searchLink fieldCode="AU" term="%22Neubert+A%22">Neubert A</searchLink>; Data & Analytics, Roche Pharma Research and Early Development, Basel, Switzerland.<br /><searchLink fieldCode="AU" term="%22Dai+J%22">Dai J</searchLink>; Roche Personalized Healthcare Program, Genentech, Inc., South San Francisco, California.<br /><searchLink fieldCode="AU" term="%22Ferrara+D%22">Ferrara D</searchLink>; Roche Personalized Healthcare Program, Genentech, Inc., South San Francisco, California.<br /><searchLink fieldCode="AU" term="%22Quezada-Ruiz+C%22">Quezada-Ruiz C</searchLink>; Clinical Science, Genentech, Inc., South San Francisco, California.; Department of Ophthalmology, Clínica de Ojos Garza Viejo, San Pedro Garza, Garcia, Nuevo Leon, Mexico. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229918230896206676%22">Ophthalmology science</searchLink> [Ophthalmol Sci] 2023 Aug 18; Vol. 4 (2), pp. 100385. <i>Date of Electronic Publication: </i>2023 Aug 18 (<i>Print Publication: </i>2024). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%2C+B%2EV%22">Elsevier, B.V </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9918230896206676 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2666-9145 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226669145%22">26669145 </searchLink><i>NLM ISO Abbreviation: </i>Ophthalmol Sci <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37868796 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.xops.2023.100385 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 100385 Titles: – TitleFull: Machine Learning to Predict Faricimab Treatment Outcome in Neovascular Age-Related Macular Degeneration. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kikuchi Y – PersonEntity: Name: NameFull: Kawczynski MG – PersonEntity: Name: NameFull: Anegondi N – PersonEntity: Name: NameFull: Neubert A – PersonEntity: Name: NameFull: Dai J – PersonEntity: Name: NameFull: Ferrara D – PersonEntity: Name: NameFull: Quezada-Ruiz C IsPartOfRelationships: – BibEntity: Dates: – D: 18 M: 08 Text: 2023 Aug 18 Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 2666-9145 Numbering: – Type: volume Value: 4 – Type: issue Value: 2 Titles: – TitleFull: Ophthalmology science Type: main |
| ResultId | 1 |