Generalizable AI predicts immunotherapy outcomes across cancers and treatments.
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| Title: | Generalizable AI predicts immunotherapy outcomes across cancers and treatments. |
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| Authors: | Shen W; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.; College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China., Moon I; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Nguyen TH; Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA., Li MM; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Huang Y; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Nair N; Roche Pharma Research and Early Development, Oncology Early Clinical Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland., Marbach D; Computational Sciences Center of Excellence, F. Hoffmann-La Roche Ltd., Basel, Switzerland. daniel.marbach.dm1@roche.com., Zitnik M; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. marinka@hms.harvard.edu.; Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University, Allston, MA, USA. marinka@hms.harvard.edu.; Broad Institute of MIT and Harvard, Cambridge, MA, USA. marinka@hms.harvard.edu.; Harvard Data Science Initiative, Cambridge, MA, USA. marinka@hms.harvard.edu. |
| Source: | Nature medicine [Nat Med] 2026 Jul 03. Date of Electronic Publication: 2026 Jul 03. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Company Country of Publication: United States NLM ID: 9502015 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1546-170X (Electronic) Linking ISSN: 10788956 NLM ISO Abbreviation: Nat Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42399673 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Generalizable AI predicts immunotherapy outcomes across cancers and treatments. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Shen+W%22">Shen W</searchLink>; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.; College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Moon+I%22">Moon I</searchLink>; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Nguyen+TH%22">Nguyen TH</searchLink>; Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Li+MM%22">Li MM</searchLink>; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Huang+Y%22">Huang Y</searchLink>; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Nair+N%22">Nair N</searchLink>; Roche Pharma Research and Early Development, Oncology Early Clinical Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland.<br /><searchLink fieldCode="AU" term="%22Marbach+D%22">Marbach D</searchLink>; Computational Sciences Center of Excellence, F. Hoffmann-La Roche Ltd., Basel, Switzerland. daniel.marbach.dm1@roche.com.<br /><searchLink fieldCode="AU" term="%22Zitnik+M%22">Zitnik M</searchLink>; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. marinka@hms.harvard.edu.; Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University, Allston, MA, USA. marinka@hms.harvard.edu.; Broad Institute of MIT and Harvard, Cambridge, MA, USA. marinka@hms.harvard.edu.; Harvard Data Science Initiative, Cambridge, MA, USA. marinka@hms.harvard.edu. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229502015%22">Nature medicine</searchLink> [Nat Med] 2026 Jul 03. <i>Date of Electronic Publication: </i>2026 Jul 03. – 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="%22Nature+Publishing+Company%22">Nature Publishing Company </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9502015 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1546-170X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210788956%22">10788956 </searchLink><i>NLM ISO Abbreviation: </i>Nat Med <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42399673 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41591-026-04502-7 Languages: – Code: eng Text: English Titles: – TitleFull: Generalizable AI predicts immunotherapy outcomes across cancers and treatments. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shen W – PersonEntity: Name: NameFull: Moon I – PersonEntity: Name: NameFull: Nguyen TH – PersonEntity: Name: NameFull: Li MM – PersonEntity: Name: NameFull: Huang Y – PersonEntity: Name: NameFull: Nair N – PersonEntity: Name: NameFull: Marbach D – PersonEntity: Name: NameFull: Zitnik M IsPartOfRelationships: – BibEntity: Dates: – D: 03 M: 07 Text: 2026 Jul 03 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1546-170X Titles: – TitleFull: Nature medicine Type: main |
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