[The role of vendors in the democratization of AI-challenges and collaboration in the application of image analysis technology to drug discovery processes].

Yuki Kato, Hiroki Kawai
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引用次数: 0

Abstract

We are living in an era in which AI technology has become widely available and accessible to many people. The field of drug discovery is no exception, and many pharmaceutical companies have actually begun to utilize AI technology in drug discovery research. In the field of image analysis, which is our main business, AI technology is also advancing and being applied to drug discovery research. In this era of "democratization of AI", what is the role of AI vendors including our company? What is needed for drug discovery researchers to use the technology correctly and appropriately in their research, and for more researchers to benefit from the technology than ever before? We would like to share with you what we have been doing so far and what we will do in the future for "true democratization of AI", including examples of applications of image analysis AI technology to drug discovery research.

[供应商在人工智能民主化中的作用,挑战和在图像分析技术应用于药物发现过程中的合作]。
我们生活在一个人工智能技术广泛普及的时代,许多人都可以使用人工智能技术。药物发现领域也不例外,许多制药公司实际上已经开始在药物发现研究中利用人工智能技术。在我们的主营业务——图像分析领域,人工智能技术也在不断进步,并被应用于药物发现研究。在这个“人工智能民主化”的时代,包括我们公司在内的人工智能厂商的角色是什么?药物发现研究人员需要什么才能在他们的研究中正确和适当地使用这项技术,并使更多的研究人员比以往任何时候都受益于这项技术?我们想和大家分享一下我们到目前为止为“真正的人工智能民主化”所做的工作和我们未来将做的工作,包括图像分析人工智能技术在药物发现研究中的应用实例。
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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来源期刊
Folia Pharmacologica Japonica
Folia Pharmacologica Japonica Pharmacology, Toxicology and Pharmaceutics-Pharmacology
CiteScore
0.40
自引率
0.00%
发文量
132
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