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Combinatorial prediction of therapeutic perturbations using causally inspired neural networks.

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Title: Combinatorial prediction of therapeutic perturbations using causally inspired neural networks.
Authors: Gonzalez G; Imperial College London, London, UK.; F. Hoffmann-La Roche Ltd, Basel, Switzerland.; Prescient Design, Genentech, South San Francisco, CA, USA., Lin X; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Herath I; Merck & Co., South San Francisco, CA, USA.; Cornell University, Ithaca, NY, USA.; University of Pittsburgh School of Medicine-Carnegie Mellon University, Pittsburgh, PA, USA., Veselkov K; Imperial College London, London, UK.; Yale School of Public Health, New Haven, CT, USA., Bronstein M; University of Oxford, Oxford, UK.; AITHYRA, Vienna, Austria., 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, Cambridge, 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 biomedical engineering [Nat Biomed Eng] 2026 May; Vol. 10 (5), pp. 1008-1025. Date of Electronic Publication: 2025 Sep 09.
Publication Type: Journal Article
Journal Info: Publisher: Springer Nature Country of Publication: England NLM ID: 101696896 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2157-846X (Electronic) Linking ISSN: 2157846X NLM ISO Abbreviation: Nat Biomed Eng Subsets: MEDLINE
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  Data: <searchLink fieldCode="AU" term="%22Gonzalez+G%22">Gonzalez G</searchLink>; Imperial College London, London, UK.; F. Hoffmann-La Roche Ltd, Basel, Switzerland.; Prescient Design, Genentech, South San Francisco, CA, USA.<br /><searchLink fieldCode="AU" term="%22Lin+X%22">Lin X</searchLink>; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Herath+I%22">Herath I</searchLink>; Merck & Co., South San Francisco, CA, USA.; Cornell University, Ithaca, NY, USA.; University of Pittsburgh School of Medicine-Carnegie Mellon University, Pittsburgh, PA, USA.<br /><searchLink fieldCode="AU" term="%22Veselkov+K%22">Veselkov K</searchLink>; Imperial College London, London, UK.; Yale School of Public Health, New Haven, CT, USA.<br /><searchLink fieldCode="AU" term="%22Bronstein+M%22">Bronstein M</searchLink>; University of Oxford, Oxford, UK.; AITHYRA, Vienna, Austria.<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, Cambridge, 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.
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  Data: <searchLink fieldCode="JN" term="%22101696896%22">Nature biomedical engineering</searchLink> [Nat Biomed Eng] 2026 May; Vol. 10 (5), pp. 1008-1025. <i>Date of Electronic Publication: </i>2025 Sep 09.
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