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. |
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| 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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| ISSN: | 1532-6535 |
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| DOI: | 10.1002/cpt.3159 |
