Need for artificial intelligence in pharmaceutical industry and its limitations

Varun Pareek, L. Sharma, Sushil Kumar, Vishal Sharma
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Abstract

Artificial intelligence (AI) is often being touted as the means to bring about the fourth industrial revolution and its role in almost all sectors of our society is almost certain. This brings about an urgent need for evaluating the benefits and limitations of AI and machine learning (ML) across various sectors. Pharmaceutical industry has pioneered in embracing the use of AI in all its core areas but the success as of now seems very limited. The major advantage of AI is that it reduces the time that is needed for drug development, and in turn, it reduces the costs that are associated with drug development, enhances the returns on investment, and may even cause a decrease in cost for the end user along with improved drug safety. Hence, in this article, we will review the scope and limitations of AI in the pharmaceutical industry along with the brief review of how AI/ML can impact geriatric health care.
制药行业对人工智能的需求及其局限性
人工智能(AI)经常被吹捧为实现第四次工业革命的手段,它在我们社会几乎所有领域的作用几乎是肯定的。这就迫切需要评估人工智能和机器学习(ML)在各个领域的优势和局限性。制药行业率先在其所有核心领域采用人工智能,但目前的成功似乎非常有限。人工智能的主要优势在于它缩短了药物开发所需的时间,反过来,它降低了与药物开发相关的成本,提高了投资回报,甚至可能降低最终用户的成本,同时提高了药物安全性。因此,在本文中,我们将回顾人工智能在制药行业的范围和局限性,并简要回顾人工智能/机器学习如何影响老年医疗保健。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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