Hunting for New Drugs with AI

The pharmaceutical industry is in a drug-discovery slump. How much can AI help? The pharmaceutical industry is in a drug-discovery slump. How much can AI help?

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Bibliographische Detailangaben
Veröffentlicht in:	Nature (London) 2019-12, Vol.576 (7787), p.S49-S53
1. Verfasser:	Freedman, David H.
Format:	Artikel
Sprache:	eng
Schlagworte:	639/705/117 692/700 Artificial intelligence Artificial Intelligence - trends Candidates Chemical analysis Chemical fingerprinting Clinical trials Cytochrome P-450 Enzyme Inhibitors - adverse effects Cytochrome P-450 Enzyme System - metabolism Disease Disorders Drug Approval - legislation & jurisprudence Drug Design Drug development Drug discovery Drug Discovery - economics Drug Discovery - trends Drug Industry - economics Drug-Related Side Effects and Adverse Reactions - prevention & control Drugs FDA approval Feature recognition Health aspects Humans Hunting Innovations In Learning algorithms Learning programs Machine learning Machine Learning - trends Male n/a Organic chemistry Parkinson Disease - drug therapy Pharmaceutical industry Prostatic Neoplasms - diagnosis Proteins R&D Regulatory approval Research & development Software Technology application Tubes United States United States Food and Drug Administration - legislation & jurisprudence Unstructured data
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	The pharmaceutical industry is in a drug-discovery slump. How much can AI help? The pharmaceutical industry is in a drug-discovery slump. How much can AI help?
ISSN:	0028-0836 1476-4687
DOI:	10.1038/d41586-019-03846-0