Causal inference in drug discovery and development

Michoel, Tom and Zhang, Jitao David. (2023) Causal inference in drug discovery and development. Drug discovery today, 28 (10). p. 103737.

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Official URL: https://edoc.unibas.ch/95801/

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To discover new drugs is to seek and to prove causality. As an emerging approach leveraging human knowledge and creativity, data, and machine intelligence, causal inference holds the promise of reducing cognitive bias and improving decision-making in drug discovery. Although it has been applied across the value chain, the concepts and practice of causal inference remain obscure to many practitioners. This article offers a nontechnical introduction to causal inference, reviews its recent applications, and discusses opportunities and challenges of adopting the causal language in drug discovery and development.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik
UniBasel Contributors:Zhang, Jitao David
Item Type:Article, refereed
Article Subtype:Research Article
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:25 Sep 2023 08:48
Deposited On:25 Sep 2023 08:48

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