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Applications of machine learning in drug discovery and development
Drug discovery and development pipelines are long, complex and depend on numerous factors. Machine learning (ML) approaches provide a set of tools that can improve discovery and decision making for well-specified questions with abundant, high-quality data. Opportunities to apply ML occur in all stag...
Enregistré dans:
| Publié dans: | Nat Rev Drug Discov |
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| Auteurs principaux: | , , , , , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6552674/ https://ncbi.nlm.nih.gov/pubmed/30976107 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41573-019-0024-5 |
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