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利用 ChatGPT 预测个性化医学的未来。

Using ChatGPT to predict the future of personalized medicine.

机构信息

Department of Pharmacy, School of Health Sciences, University of Patras, 26504, Patras, Greece.

Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, P.O. Box 15551, Abu Dhabi, UAE.

出版信息

Pharmacogenomics J. 2023 Nov;23(6):178-184. doi: 10.1038/s41397-023-00316-9. Epub 2023 Sep 19.

DOI:10.1038/s41397-023-00316-9
PMID:37726551
Abstract

Personalized medicine is a novel frontier in health care that is based on each person's unique genetic makeup. It represents an exciting opportunity to improve the future of individualized health care for all individuals. Pharmacogenomics, as the main part of personalized medicine, aims to optimize and create a more targeted treatment approach based on genetic variations in drug response. It is predicted that future treatments will be algorithm-based instead of evidence-based that will consider a patient's genetic, transcriptomic, proteomic, epigenetic, and lifestyle factors resulting in individualized medication. A generative pretrained transformer (GPT) is an artificial intelligence (AI) tool that generates language resembling human-like writing enabling users to engage in a manner that is practically identical to speaking with a human being. GPT's predictive algorithms can respond to questions that have never been addressed. Chat Generative Pretrained Transformer (ChatGPT) is an AI chatbot's advanced with conversational capabilities. In the present study, questions were asked from ChatGPT about the future of personalized medicine and pharmacogenomics. ChatGPT predicted both to be a promising approach with a bright future that holds great promises in improving patient outcomes and transforming the field of medicine. But it still has several limitations that need to be solved.

摘要

个性化医学是医疗保健的一个新领域,它基于每个人独特的基因构成。它代表了一个令人兴奋的机会,可以改善所有人个体化医疗保健的未来。药物基因组学作为个性化医学的主要部分,旨在基于药物反应的遗传变异来优化和创建更具针对性的治疗方法。预计未来的治疗将基于算法而不是基于证据,将考虑患者的遗传、转录组、蛋白质组、表观遗传和生活方式因素,从而实现个体化用药。生成式预训练转换器 (GPT) 是一种人工智能 (AI) 工具,它生成类似于人类写作的语言,使用户能够以几乎与与人类交谈相同的方式进行交流。GPT 的预测算法可以响应从未解决过的问题。聊天生成式预训练转换器 (ChatGPT) 是一种具有对话功能的高级人工智能聊天机器人。在本研究中,向 ChatGPT 询问了个性化医学和药物基因组学的未来。ChatGPT 预测这两者都是一种很有前途的方法,有着光明的未来,有望改善患者的治疗效果,并改变医学领域。但它仍然存在一些需要解决的局限性。

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