← 返回

人工智能推动 CAR-T 细胞治疗:机遇与挑战

英文原题:Advancing CAR T-cell Therapies with Artificial Intelligence: Opportunities and Challenges.

查看英文原题

Advancing CAR T-cell Therapies with Artificial Intelligence: Opportunities and Challenges.

PubMed 2025/05/05(内容时间) Blood Cancer Discov Q1 · IF 12.2(JCR 2025)

分数与星级只用于站内排序 —— 不代表疗效、安全性或个人适用性。

中文摘要

人工智能有望通过优化各个环节改善CAR-T 细胞疗法结局,涵盖靶点识别、载体设计、细胞制备以及个体化、数据驱动的临床决策。本文重点介绍释放这一潜力所需的步骤,包括建立标准化、全面的数据存储库,以解决人工智能学习面临的障碍,例如数据异质性和患者隐私保护。

展开英文摘要原文

Artificial intelligence could enhance chimeric antigen receptor T-cell therapy outcomes through optimization of all steps, from target identification, vector design, and manufacturing to personalized data-driven clinical decisions. In this report, we highlight steps toward unlocking this potential, including the need for standardized, comprehensive data repositories as a way for addressing barriers to artificial intelligence learning, such as data heterogeneity and patient privacy.

论文信息

作者
Luciani F、Safavi A、Guruprasad P、Chen L、Ruella M
第一作者单位
Systems Immunology and Immunogenomics, School of Biomedical Sciences, UNSW Sydney, Sydney, Australia.Australia
通讯作者单位
Center for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.United States
文献类型
综述
期刊
Blood cancer discovery2025 May 5
原文标识
PubMed 40152695 · DOI 10.1158/2643-3230.BCD-23-0240