期刊
TRENDS IN PHARMACOLOGICAL SCIENCES
卷 40, 期 8, 页码 592-604出版社
ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tips.2019.06.004
关键词
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资金
- Interdisciplinary Centre for Mathematical and Computational Modellingin Warsaw [GB71-3, GB70-3]
- European Community [FP7-KBBE-2013-613879]
- EPFL
Drug discovery and development are among the most important translational science activities that contribute to human health and wellbeing. However, the development of a new drug is a very complex, expensive, and long process which typically costs 2.6 billion USD and takes 12 years on average. How to decrease the costs and speed up new drug discovery has become a challenging and urgent question in industry. Artificial intelligence (AI) combined with new experimental technologies is expected to make the hunt for new pharmaceuticals quicker, cheaper, and more effective. We discuss here emerging applications of AI to improve the drug discovery process.
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