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大科技公司与医药研发创业公司——2020 年人工智能视角

Big Techs and startups in pharmaceutical R&D - A 2020 perspective on artificial intelligence.

机构信息

Reutlingen University, Alteburgstrasse 150, DE-72762 Reutlingen, Germany; Institute of Technology Management, University of St Gallen, Dufourstrasse 40a, CH-9000 St Gallen, Switzerland.

Sony Europe B.V. - Stuttgart Technology Center, Hedelfinger Strasse 61, DE-70327 Stuttgart, Germany.

出版信息

Drug Discov Today. 2021 Oct;26(10):2226-2231. doi: 10.1016/j.drudis.2021.04.028. Epub 2021 May 7.


DOI:10.1016/j.drudis.2021.04.028
PMID:33965571
Abstract

We investigated what kind of artificial intelligence (AI) technologies are utilized in pharmaceutical research and development (R&D) and which sources of AI-related competencies can be leveraged by pharmaceutical companies. First, we found that machine learning (ML) is the dominating AI technology currently used in pharmaceutical R&D. Second, both Big Techs and AI startups are competent knowledge bases for AI applications. Big Techs have long-lasting experience in the digital field and offer more general IT solutions to support pharmaceutical companies in cloud computing, health monitoring, diagnostics or clinical trial management, whereas startups can provide more specific AI services to address special issues in the drug-discovery space.

摘要

我们研究了制药研发(R&D)中使用了哪些人工智能(AI)技术,以及制药公司可以利用哪些 AI 相关能力的来源。首先,我们发现机器学习(ML)是目前制药研发中使用的主导 AI 技术。其次,大型科技公司和 AI 初创公司都是 AI 应用的知识基础。大型科技公司在数字领域拥有悠久的经验,并提供更通用的 IT 解决方案,以支持制药公司在云计算、健康监测、诊断或临床试验管理方面的应用,而初创公司则可以提供更具体的 AI 服务,以解决药物发现领域的特殊问题。

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引用本文的文献

[1]
The applications and advances of artificial intelligence in drug regulation: A global perspective.

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[2]
Progress, Pitfalls, and Impact of AI-Driven Clinical Trials.

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[3]
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[4]
Machine learning approaches to predict drug efficacy and toxicity in oncology.

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