制药行业的人工智能时代——综述

Praveen Tahilani, H. Swami, Gaurav Goyanar, Shivani Tiwari
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引用次数: 1

摘要

作为一个不断发展的行业,制药行业的人工智能、机器学习和数据科学时代有助于药物发现过程,强调新技术如何提高有效性。在目前的情况下,包括机器学习在内的人工智能可能被认为是广泛学科和行业的未来,特别是制药行业。正如我们今天所知,制药行业生产一种批准的药物要花费公司数百万美元,在批准之前要经过多年的严格测试,减少成本和时间是非常重要的。人工智能的参与将对制药行业非常有用,也会引起化学生物学、计算化学、药物化学和生物信息学研究人员的兴趣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Era of Artificial Intelligence in Pharmaceutical Industries - A Review
As a growing sector, the Era of Artificial Intelligence, Machine Learning and Data Science in the Pharmaceutical Industry contributes in the drug discovery process, giving emphasis on how new technologies have improved effectiveness. As in the current scenario artificial intelligence including machine learning may be considered the future for a wide range of disciplines and industries specially the pharmaceutical industry. As we know today pharmaceutical industries producing a single approved drug cost the company millions with many years of rigorous testing prior to its approval, reducing costs and time is of high interest. The involvement of Artificial Intelligence will be useful to the pharmaceutical industry and also be of interest to anyone doing research in chemical biology, computational chemistry, medicinal chemistry and bioinformatics.
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