Department of Pharmacology and Toxicology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia (A.M.E., D.A.G.); Department of Pharmacology and Toxicology, Faculty of Pharmacy, Kafrelsheikh University, Kafrelsheikh, Egypt (A.M.E.); and Department of Pharmacology and Public Health, Faculty of Medicine, The Hashemite University, Zarqa, Jordan (U.S., S.A.S., T.S.).
Department of Pharmacology and Toxicology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia (A.M.E., D.A.G.); Department of Pharmacology and Toxicology, Faculty of Pharmacy, Kafrelsheikh University, Kafrelsheikh, Egypt (A.M.E.); and Department of Pharmacology and Public Health, Faculty of Medicine, The Hashemite University, Zarqa, Jordan (U.S., S.A.S., T.S.)
Mol Pharmacol. 2024 Apr 17;105(5):313-327. doi: 10.1124/molpharm.124.000871.
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.
人工智能(AI)平台,如生成式预训练转换器(ChatGPT),由于其在提供文献循证综述方面的实用性,在科学界获得了高度的关注。然而,其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,特别是对于极具争议性的问题,通常尚未得到评估。在这项工作中,我们就癌症研究领域的几个悬而未决的问题与 ChatGPT 进行了问答,这些问题涉及与治疗诱导衰老(TIS)相关的几个问题,包括衰老可逆性、与肿瘤休眠的关系以及新兴的衰老细胞清除剂类药物的药理学。ChatGPT 的回答通常与现有文献一致,但偶尔会忽略 TIS 在癌症生物学和治疗中的作用的当前理解的重要组成部分。尽管 ChatGPT 和类似的 AI 平台在提供准确的循证文献综述方面具有实用性,但仍应仔细考虑其输出,特别是对于肿瘤生物学中的未解决问题。
人工智能平台为研究人员快速调查生物医学文献提供了很大的帮助。然而,当涉及到某些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。这项工作讨论了 ChatGPT 对治疗诱导衰老在癌症治疗中的作用的一些尚未完全阐明的难题,并强调了利用这些平台分析该主题的科学文献的优势和劣势。