Privacy-preserving techniques for decentralized and secure machine learning in drug discovery

Author:

Smajić Aljoša,Grandits Melanie,Ecker Gerhard F.ORCID

Funder

Austrian Science Fund

Publisher

Elsevier BV

Subject

Drug Discovery,Pharmacology

Reference63 articles.

1. An overview of machine learning and big data for drug toxicity evaluation;Vo;Chem Res Toxicol,2020

2. Machine learning in drug discovery;Klambauer;J Chem Inf Model,2019

3. S.5002 – 117th Congress (2021-2022): FDA Modernization Act 2.0. Congress.gov. Library of Congress. Accessed 5 February 2023. https://www.congress.gov/bill/117th-congress/senate-bill/5002

4. The future of digital health with federated learning;Rieke;NPJ Digit Med,2020

5. Institute of Medicine (US) Extending the Spectrum of Precompetitive Collaboration in Oncology Research: Workshop Summary. Washington (DC): National Academies Press (US); 2010. BENEFITS OF COLLABORATING. Accessed 8 March 2023. https://www.ncbi.nlm.nih.gov/books/NBK210038/

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