摘要
结合人工智能(AI)技术,采用多模态数据融合算法,构建大数据信息管理平台,通过分析影响精准医学发展的主要因素,以技术创新驱动精准诊疗为核心,实现疾病分型与个性化治疗,探讨构建临床牵引型的精准医疗发展路径,规范采集、有效利用真实世界数据,重构协同创新机制及科研成果向产业化转化的创新生态系统,推动肿瘤诊疗向精准化、智能化方向纵深发展。
By integrating AI technology and adopting multimodal data fusion algorithms,a big data information management platform was developed.By analyzing the key factors influencing precision medicine,with innovation-driven precision diagnosis and treatment as the core,disease classification and personalized therapy have been achieved.This study explores the construction of a clinically driven development path for precision medicine,standardizes the collection and effective utilization of real-world data,reconstructs a collaborative innovation mechanism and an innovation ecosystem for transforming scientific research achievements into industrial applications,and promotes the in-depth development of tumor diagnosis.
作者
郑津津
刘芃芃
ZHENG Jinjin;LIU Pengpeng(Tianjin Medical University Cancer Institute&Hospital,National Clinical Research Center for Cancer,Tianjin 300060,China;Tianjin’s Clinical Research Center for Cancer,Tianjin 300060,China)
出处
《天津科技》
2025年第11期76-80,共5页
Tianjin Science & Technology
基金
天津市教委科研计划项目“VASH2介导微管蛋白去酪氨酸化调控EGFR内吞促进肺鳞癌侵袭的机制研究”(2023KJ089)。
关键词
人工智能
精准医学
大数据管理
发展路径
对策研究
AI
precision medicine
big data management
development path
countermeasure research
