中国卒中杂志2025，Vol.20Issue(6)：710-717,8.DOI:10.3969/j.issn.1673-5765.2025.06.006
人工智能融合临床与多组学数据在卒中防治及医药研发中的应用与挑战
Applications and Challenges of Integrating Artificial Intelligence with Clinical and Multi-omics Data in Stroke Prevention,Treatment,and Pharmaceutical Research and Development
摘要
Abstract
Stroke is the leading global cause of death and disability.The research paradigm that integrates artificial intelligence(AI)with clinical and multi-omics data provides novel solutions for the precision prevention and treatment of stroke.By integrating and analyzing clinical and multi-omics data,AI technology enhances the identification of high-risk populations,optimizes early diagnosis and risk assessment,enables precise subtyping of stroke,facilitates the screening of potential drug targets,and constructs prognostic prediction models.However,critical challenges,such as insufficient multi-omics resources,difficulties in multi modal data integration,and limited interpretability of algorithms,remain major bottlenecks in clinical translation.This article reviews the advances and challenges in AI-driven integration of clinical and multi-omics data in stroke prevention and treatment as well as pharmaceutical research and development.关键词
卒中防治/人工智能/多组学/精准医疗/医药研发Key words
Stroke prevention and treatment/Artificial intelligence/Multi-omics/Precision medicine/Pharmaceutical research and development分类
医药卫生引用本文复制引用
勾岚,姜明慧,姜勇,廖晓凌,李昊,张杰,程丝..人工智能融合临床与多组学数据在卒中防治及医药研发中的应用与挑战[J].中国卒中杂志,2025,20(6):710-717,8.基金项目
国家重点研发计划(2022YFE0209600)国家自然科学基金(82471304)中国科协青年人才托举工程(2023QNRC001) （2022YFE0209600）
