{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"萌喵读文献-生物信息学","title":"今日生物信息学最高分文献 - 2025-09-22","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/068a5499\"></iframe>","width":"100%","height":180,"duration":229,"description":"科研喵使用ai读文献，祝你效率百倍，访问labcat.com.cn下载。本期关注一篇发表在影响因子7.0的《Computers in biology and medicine》上的重要研究：\"Developing federated time-to-event scores using heterogeneous real-world survival data\"。这项研究提出了一种创新框架，能够在保护隐私的前提下，利用来自多个医疗机构的异质生存数据构建联合生存评分系统。研究团队将该方法应用于新加坡和美国急诊科的数据，结果显示联合评分系统在预测准确率上显著优于各机构本地模型，最大提升达11.6%。这一突破性技术不仅解决了医疗数据共享中的隐私挑战，还为临床决策提供了更可靠的风险预测工具，有望在未来医疗研究和实践中发挥重要作用。","thumbnail_url":"https://img.transistorcdn.com/38WU46uKrju37cyiLrKcVSktFL4vxBb_oTgbpM_2CRw/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zOGU2/ZmEyYWE0MDZkNGFj/NWMzNGY5ZmU4YTk0/ZTBlNS5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}