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Using Machine Learning to Individualize Treatment Effect Estimation: Challenges and Opportunities.

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Title: Using Machine Learning to Individualize Treatment Effect Estimation: Challenges and Opportunities.
Authors: Curth A; Department of Applied Mathematics & Theoretical Physics, University of Cambridge, Cambridge, UK., Peck RW; Department of Pharmacology & Therapeutics, University of Liverpool, Liverpool, UK.; Roche Pharma Research & Early Development (pRED), Roche Innovation Center, Basel, Switzerland., McKinney E; Cambridge Institute for Immunotherapy & Infectious Disease, Jeffrey Cheah Biomedical Center, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge, UK.; Cambridge Centre for AI in Medicine, Cambridge, UK., Weatherall J; AstraZeneca R&D Data Science and Artificial Intelligence, Cambridge, UK., van der Schaar M; Department of Applied Mathematics & Theoretical Physics, University of Cambridge, Cambridge, UK.; Cambridge Centre for AI in Medicine, Cambridge, UK.; The Alan Turing Institute, London, UK.
Source: Clinical pharmacology and therapeutics [Clin Pharmacol Ther] 2024 Apr; Vol. 115 (4), pp. 710-719. Date of Electronic Publication: 2024 Jan 12.
Publication Type: Journal Article; Review; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 0372741 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-6535 (Electronic) Linking ISSN: 00099236 NLM ISO Abbreviation: Clin Pharmacol Ther Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="JN" term="%220372741%22">Clinical pharmacology and therapeutics</searchLink> [Clin Pharmacol Ther] 2024 Apr; Vol. 115 (4), pp. 710-719. <i>Date of Electronic Publication: </i>2024 Jan 12.
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        Value: 10.1002/cpt.3159
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              Text: 2024 Apr
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