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使用人工智能预测和监测胰腺癌的免疫检查点抑制剂治疗。

Predicting and Monitoring Immune Checkpoint Inhibitor Therapy Using Artificial Intelligence in Pancreatic Cancer.

机构信息

Department of Biomedical Engineering, University of California, Irvine, CA 92617, USA.

Department of Radiological Sciences, University of California, Irvine, CA 92868, USA.

出版信息

Int J Mol Sci. 2024 Nov 9;25(22):12038. doi: 10.3390/ijms252212038.

Abstract

Pancreatic cancer remains one of the most lethal cancers, primarily due to its late diagnosis and limited treatment options. This review examines the challenges and potential of using immunotherapy to treat pancreatic cancer, highlighting the role of artificial intelligence (AI) as a promising tool to enhance early detection and monitor the effectiveness of these therapies. By synthesizing recent advancements and identifying gaps in the current research, this review aims to provide a comprehensive overview of how AI and immunotherapy can be integrated to develop more personalized and effective treatment strategies. The insights from this review may guide future research efforts and contribute to improving patient outcomes in pancreatic cancer management.

摘要

胰腺癌仍然是最致命的癌症之一,主要是由于其晚期诊断和有限的治疗选择。本综述探讨了利用免疫疗法治疗胰腺癌的挑战和潜力,强调了人工智能 (AI) 作为增强早期检测和监测这些疗法效果的有前途工具的作用。通过综合最近的进展并确定当前研究中的空白,本综述旨在提供一个全面的概述,说明如何将人工智能和免疫疗法整合起来,制定更个性化和有效的治疗策略。本综述的见解可能指导未来的研究工作,并有助于改善胰腺癌管理中患者的治疗效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b200/11593706/9d6e638545fa/ijms-25-12038-g001.jpg

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