Artificial Intelligence in Drug Discovery and Development

Prashansa Agrawal
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引用次数: 144

Abstract

Artificial Intelligence (AI) has recently been developed into a sizzling topic in the area of medical care industry. The biopharmaceutical industries are making efforts to approach AI to enhance drug discovery process, reduce research and development expenses, diminish failure rates in clinical trials and ultimately generate superior medicines. The accessibility of immense statistics in life sciences and a speedy development in machine learning algorithms led to an evolution of AI-based start-up companies focused on drug discovery over the recent years [1]. Numerous remarkable AIbiopharmaceutical alliance were declared in 2016-2017 that include Pfizer and IBM Watson, Sanofi Genzyme and Recursion Pharmaceuticals, AstraZeneca, Abbvie, Merck, Novartis, GSK and Exscientia, etc.
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药物发现与开发中的人工智能
近年来,人工智能(AI)已经成为医疗保健行业的热门话题。生物制药业界为了缩短新药开发过程、减少研究开发费用、减少临床试验的失败率,最终开发出更好的药物,正在努力利用人工智能。近年来,生命科学中大量统计数据的可访问性和机器学习算法的快速发展导致了以人工智能为基础的初创公司的发展,这些公司专注于药物发现[1]。2016-2017年,辉瑞与IBM沃森、赛诺菲健赞与Recursion Pharmaceuticals、阿斯利康、艾伯维、默克、诺华、GSK、Exscientia等多家著名的生物制药联盟相继宣布。
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