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
卒中是全球致死致残的首要病因。基于人工智能（artificial intelligence，AI）融合临床与多组学数据的研究范式，为卒中精准防治提供了新方案。AI技术通过整合分析临床与多组学数据，能够提升卒中高危人群识别能力，优化早期诊断与风险评估，实现卒中亚型的精准分型，同时可筛选潜在药物靶点，构建预后预测模型。然而，卒中多组学资源相对匮乏、多模态数据融合困难，以及算法可解释性不足等仍是临床转化的主要瓶颈。本文对AI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等研究进展进行综述。Abstract: Stroke is the leading global cause of dea...
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Editorial Department of Chinese Journal of Stroke
2025-06-01
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| Series: | Zhongguo cuzhong zazhi |
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| Online Access: | https://www.chinastroke.org.cn/CN/10.3969/j.issn.1673-5765.2025.06.006 |
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| author | 勾岚，姜明慧，姜勇，廖晓凌，李昊，张杰，程丝 (GOU Lan, JIANG Minghui, JIANG Yong, LIAO Xiaoling, LI Hao, ZHANG Jie, CHENG Si) |
| author_facet | 勾岚，姜明慧，姜勇，廖晓凌，李昊，张杰，程丝 (GOU Lan, JIANG Minghui, JIANG Yong, LIAO Xiaoling, LI Hao, ZHANG Jie, CHENG Si) |
| author_sort | 勾岚，姜明慧，姜勇，廖晓凌，李昊，张杰，程丝 (GOU Lan, JIANG Minghui, JIANG Yong, LIAO Xiaoling, LI Hao, ZHANG Jie, CHENG Si) |
| collection | DOAJ |
| description | 卒中是全球致死致残的首要病因。基于人工智能（artificial intelligence，AI）融合临床与多组学数据的研究范式，为卒中精准防治提供了新方案。AI技术通过整合分析临床与多组学数据，能够提升卒中高危人群识别能力，优化早期诊断与风险评估，实现卒中亚型的精准分型，同时可筛选潜在药物靶点，构建预后预测模型。然而，卒中多组学资源相对匮乏、多模态数据融合困难，以及算法可解释性不足等仍是临床转化的主要瓶颈。本文对AI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等研究进展进行综述。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. |
| format | Article |
| id | doaj-art-85924aee2e63492bb3d108b03e009269 |
| institution | DOAJ |
| issn | 1673-5765 |
| language | zho |
| publishDate | 2025-06-01 |
| publisher | Editorial Department of Chinese Journal of Stroke |
| record_format | Article |
| series | Zhongguo cuzhong zazhi |
| spelling | doaj-art-85924aee2e63492bb3d108b03e0092692025-08-20T03:17:55ZzhoEditorial Department of Chinese Journal of StrokeZhongguo cuzhong zazhi1673-57652025-06-0120671071710.3969/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勾岚，姜明慧，姜勇，廖晓凌，李昊，张杰，程丝 (GOU Lan, JIANG Minghui, JIANG Yong, LIAO Xiaoling, LI Hao, ZHANG Jie, CHENG Si)0首都医科大学附属北京天坛医院，国家神经系统疾病临床医学研究中心，卒中多组学创新中心;脑血管病药械研发北京市重点实验室;首都医科大学附属北京天坛医院，国家神经系统疾病临床医学研究中心;首都医科大学附属北京天坛医院神经病学中心;首都医科大学卒中精准临床诊疗与研究中心( Center of Excellence for Omics Research, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China;Beijing Key Laboratory of Drug and Device Research and Development for Cerebrovascular Diseases, Beijing 100070, China;China National Clinical Research Center for Neurological Diseases, Beijing 100070, China;Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China;Clinical Center for Precision Medicine in Stroke, Capital Medical University, Beijing 100070, China） 卒中是全球致死致残的首要病因。基于人工智能（artificial intelligence，AI）融合临床与多组学数据的研究范式，为卒中精准防治提供了新方案。AI技术通过整合分析临床与多组学数据，能够提升卒中高危人群识别能力，优化早期诊断与风险评估，实现卒中亚型的精准分型，同时可筛选潜在药物靶点，构建预后预测模型。然而，卒中多组学资源相对匮乏、多模态数据融合困难，以及算法可解释性不足等仍是临床转化的主要瓶颈。本文对AI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等研究进展进行综述。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.https://www.chinastroke.org.cn/CN/10.3969/j.issn.1673-5765.2025.06.006卒中防治人工智能多组学精准医疗医药研发stroke prevention and treatmentartificial intelligencemulti-omicsprecision medicinepharmaceutical research and development |
| spellingShingle | 勾岚，姜明慧，姜勇，廖晓凌，李昊，张杰，程丝 (GOU Lan, JIANG Minghui, JIANG Yong, LIAO Xiaoling, LI Hao, ZHANG Jie, CHENG Si) 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 Zhongguo cuzhong zazhi 卒中防治 人工智能 多组学 精准医疗 医药研发 stroke prevention and treatment artificial intelligence multi-omics precision medicine pharmaceutical research and development |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | 卒中防治 人工智能 多组学 精准医疗 医药研发 stroke prevention and treatment artificial intelligence multi-omics precision medicine pharmaceutical research and development |
| url | https://www.chinastroke.org.cn/CN/10.3969/j.issn.1673-5765.2025.06.006 |
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