药物发现
计算机科学
认知科学
心理学
人工智能
数据科学
生物信息学
生物
作者
H. C. Stephen Chan,Hanbin Shan,Thamani Dahoun,Horst Vogel,Shuguang Yuan
标识
DOI:10.1016/j.tips.2019.06.004
摘要
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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