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.

个性化医疗是医疗保健领域的一个新领域，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，可以改善所有人的个性化医疗保健的未来。药物基因组学作为个性化医疗的主要组成部分，旨在根据药物反应的遗传变异来优化和创建更有针对性的治疗方法。据预测，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，从而产生个体化用药。生成式预训练变压器 (GPT) 是一种人工智能 (AI) 工具，可生成类似于人类书写的语言，使用户能够以与与人交谈几乎相同的方式进行互动。GPT 的预测算法可以回答从未解决过的问题。聊天生成预训练变压器 (ChatGPT) 是一款具有高级对话功能的人工智能聊天机器人。在本研究中，ChatGPT 就个性化医疗和药物基因组学的未来提出了问题。ChatGPT 预测这两种方法都是一种前景光明的方法，在改善患者治疗效果和改变医学领域方面具有巨大前景。但它仍然有一些限制需要解决。