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利用人工智能推动医疗保健发展:从理念到临床实践。

Advancing health care via artificial intelligence: From concept to clinic.

机构信息

Department of Pharmacology, Shri Vishnu College of Pharmacy, Bhimavaram, Andhra Pradesh, India.

Department of Pharmacology, Shri Vishnu College of Pharmacy, Bhimavaram, Andhra Pradesh, India.

出版信息

Eur J Pharmacol. 2022 Nov 5;934:175320. doi: 10.1016/j.ejphar.2022.175320. Epub 2022 Oct 8.

Abstract

Ever Since, pharmaceutical companies are facing challenges to develop new drug products faster and economical with good quality, safety and efficacy. The advent of Artificial intelligence (AI) with computational technology empowers scientists, impacts society at a great scale by developing new drugs at rapid pace. Artificial intelligence is the science and engineering of creating intelligent machines using personified knowledge. There are many opportunities to apply AI tools to the drug discovery pipeline. Examples include target identification, identification of biomarkers, molecular modelling, synthesis of molecules, predicting toxicity and picking up leads. Further, this technology also helps the clinical scientists in clinical trial design, execution and real-time analysis. Altogether it facilitates the process of drug discovery, development and also provides better therapy to the patients. Apart from drug discovery and development, AI also has applications in the area of diagnosis, drug delivery, patient adherence and better monitoring of safety. There are many instances where AI can perform tasks better than humans and aid healthcare providers in treating patients. In this article, we have provided discussion on how AI is advancing the health care field to achieve greater success.

摘要

自那时以来,制药公司面临着挑战,需要更快、更经济地开发新药产品,同时保证良好的质量、安全性和疗效。人工智能(AI)与计算技术的出现使科学家们能够利用人工智能的知识,以快速的步伐开发新药,从而对社会产生重大影响。人工智能是利用拟人化知识创建智能机器的科学和工程。有许多机会将 AI 工具应用于药物发现管道。例如,目标识别、生物标志物识别、分子建模、分子合成、毒性预测和先导化合物筛选。此外,这项技术还可以帮助临床科学家进行临床试验设计、执行和实时分析。总的来说,它促进了药物发现、开发的过程,并为患者提供了更好的治疗方法。除了药物发现和开发,人工智能还在诊断、药物输送、患者依从性和更好的安全性监测等领域有应用。在许多情况下,人工智能可以比人类更好地完成任务,并帮助医疗保健提供者治疗患者。本文就人工智能如何推动医疗保健领域取得更大的成功进行了讨论。

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