School of Postgraduate Studies and Research, International Medical University, Kuala Lumpur, Malaysia; Department of Pharmaceutical Chemistry, School of Pharmacy, International Medical University, Kuala Lumpur, Malaysia.
Department of Pharmaceutical Chemistry, School of Pharmacy, International Medical University, Kuala Lumpur, Malaysia; Head, Centre for Bioactive Molecules and Drug Delivery, Institute for Research, Development and Innovation (IRDI), International Medical University, Kuala Lumpur, Malaysia.
Drug Discov Today. 2019 Mar;24(3):773-780. doi: 10.1016/j.drudis.2018.11.014. Epub 2018 Nov 22.
Artificial intelligence (AI) uses personified knowledge and learns from the solutions it produces to address not only specific but also complex problems. Remarkable improvements in computational power coupled with advancements in AI technology could be utilised to revolutionise the drug development process. At present, the pharmaceutical industry is facing challenges in sustaining their drug development programmes because of increased R&D costs and reduced efficiency. In this review, we discuss the major causes of attrition rates in new drug approvals, the possible ways that AI can improve the efficiency of the drug development process and collaboration of pharmaceutical industry giants with AI-powered drug discovery firms.
人工智能(AI)利用拟人化的知识,并从其产生的解决方案中学习,不仅可以解决特定问题,还可以解决复杂问题。计算能力的显著提高,加上人工智能技术的进步,可以彻底改变药物开发过程。目前,制药行业面临着维持药物开发计划的挑战,原因是研发成本增加和效率降低。在这篇综述中,我们讨论了新药批准中淘汰率的主要原因,人工智能提高药物开发效率的可能途径,以及制药业巨头与人工智能驱动的药物发现公司的合作。
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