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Expert Opinion on Drug Discovery Volume 17, 2022 - Issue 7
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Editorial

Can artificial intelligence accelerate preclinical drug discovery and precision medicine?

Ali Farnouda Institute of Computational Biology, Helmholtz Center Munich, Munich, GermanyView further author information
,
Alexander J. Ohnmachta Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany;b Department of Biology, Ludwig-Maximilians University Munich, Munich, GermanyORCID Iconhttps://orcid.org/0000-0002-1481-9426View further author information
ORCID Icon,
Martin Meinela Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany;c Department of Dermatology and Allergy, Technical University Munich, Munich, GermanyORCID Iconhttps://orcid.org/0000-0002-4042-6247View further author information
ORCID Icon &
Michael P. Mendena Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany;b Department of Biology, Ludwig-Maximilians University Munich, Munich, Germany;d German Center for Diabetes Research (DZD e.V.), Munich, GermanyCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-0267-5792View further author information
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Pages 661-665 | Received 04 Feb 2022, Accepted 13 Jun 2022, Published online: 19 Jun 2022
 
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Declaration of Interest

MP Menden is a former employee of AstraZeneca who collaborates with GlaxoSmithKline, AstraZeneca and Roche. He also declares research funding from GlaxoSmithKline and Roche. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

Reviewer disclosures

Peer reviewers on this manuscript have no relevant financial or other relationships to disclose.

Additional information

Funding

The authors are supported by a H2020 European Research Council grant under No. 950293.

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