A Conversation with ChatGPT on Contentious Issues in Senescence and Cancer Research.

IF 3.2 3区 医学 Q2 PHARMACOLOGY & PHARMACY
Ahmed M Elshazly, Uruk Shahin, Sofian Al Shboul, David A Gewirtz, Tareq Saleh
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Abstract

Artificial intelligence (AI) platforms, such as Generative Pretrained Transformer (ChatGPT), have achieved a high degree of popularity within the scientific community due to their utility in providing evidence-based reviews of the literature. However, the accuracy and reliability of the information output and the ability to provide critical analysis of the literature, especially with respect to highly controversial issues, has generally not been evaluated. In this work, we arranged a question/answer session with ChatGPT regarding several unresolved questions in the field of cancer research relating to therapy-induced senescence (TIS), including the topics of senescence reversibility, its connection to tumor dormancy, and the pharmacology of the newly emerging drug class of senolytics. ChatGPT generally provided responses consistent with the available literature, although occasionally overlooking essential components of the current understanding of the role of TIS in cancer biology and treatment. Although ChatGPT, and similar AI platforms, have utility in providing an accurate evidence-based review of the literature, their outputs should still be considered carefully, especially with respect to unresolved issues in tumor biology. SIGNIFICANCE STATEMENT: Artificial Intelligence platforms have provided great utility for researchers to investigate biomedical literature in a prompt manner. However, several issues arise when it comes to certain unresolved biological questions, especially in the cancer field. This work provided a discussion with ChatGPT regarding some of the yet-to-be-fully-elucidated conundrums of the role of therapy-induced senescence in cancer treatment and highlights the strengths and weaknesses in utilizing such platforms for analyzing the scientific literature on this topic.

与 ChatGPT 就衰老和癌症研究中的争议问题进行对话。
生成式预训练转换器(ChatGPT)等人工智能(AI)平台因其在提供基于证据的文献综述方面的实用性而在科学界广受欢迎。然而,信息输出的准确性和可靠性以及对文献进行批判性分析的能力,尤其是对极具争议的问题进行批判性分析的能力,一般还没有得到评估。在这项工作中,我们安排了一次与 ChatGPT 的问答环节,内容涉及癌症研究领域中与治疗诱导衰老(TIS)相关的几个未决问题,包括衰老的可逆性、衰老与肿瘤休眠的联系以及新出现的衰老剂药物的药理学等主题。ChatGPT 所提供的回答通常与现有文献一致,但偶尔也会忽略目前对 TIS 在癌症生物学和治疗中作用的理解的重要组成部分。虽然 ChatGPT 和类似的人工智能平台在提供基于证据的准确文献综述方面很有用,但仍应仔细考虑其输出结果,尤其是在肿瘤生物学中尚未解决的问题方面。意义声明 人工智能平台为研究人员迅速研究生物医学文献提供了极大的便利。然而,当涉及到某些尚未解决的生物学问题时,尤其是在癌症领域,就会出现一些问题。这项工作与 ChatGPT 讨论了治疗诱导衰老在癌症治疗中的作用这一尚未完全阐明的难题,并强调了利用此类平台分析有关这一主题的科学文献的优势和劣势。
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
Molecular Pharmacology
Molecular Pharmacology 医学-药学
CiteScore
7.20
自引率
2.80%
发文量
50
审稿时长
3-6 weeks
期刊介绍: Molecular Pharmacology publishes findings derived from the application of innovative structural biology, biochemistry, biophysics, physiology, genetics, and molecular biology to basic pharmacological problems that provide mechanistic insights that are broadly important for the fields of pharmacology and toxicology. Relevant topics include: Molecular Signaling / Mechanism of Drug Action Chemical Biology / Drug Discovery Structure of Drug-Receptor Complex Systems Analysis of Drug Action Drug Transport / Metabolism
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