Workflow
生物医药大数据
icon
Search documents
AI算力助复旦科研再突破:阿尔茨海默病早筛早诊检测试剂年内或上线
Huan Qiu Wang Zi Xun· 2025-07-19 12:33
Core Viewpoint - Fudan University has made significant breakthroughs in the medical field, including the discovery of a new treatment target for Parkinson's disease and the upcoming launch of early screening and diagnostic testing for Alzheimer's disease, supported by AI computing power from the CFFF platform in collaboration with Alibaba Cloud [1][3]. Group 1: Breakthroughs in Alzheimer's and Parkinson's Disease - The research team led by Professor Yu Kintai has achieved a 15-year early prediction of Alzheimer's disease risk with over 98.7% accuracy, published in the journal Nature [3][5]. - The team has identified a new treatment target for Parkinson's disease and utilized AI to screen potential drugs, with findings published in top international journals such as Cell and Nature [3][5]. Group 2: CFFF Platform and AI Integration - The CFFF platform, launched in 2023, integrates advanced computing clusters and AI technologies, enabling researchers to process large datasets more efficiently than traditional methods [3][4]. - The platform supports over 1,000 parallel intelligent computations and facilitates the training of large models with billions of parameters, significantly enhancing research capabilities [3][4]. Group 3: Efficiency Improvements in Research - The use of AI and innovative data-driven methods has allowed the research team to analyze over 6,361 cerebrospinal fluid proteins, identifying five key proteins that improve diagnostic accuracy to 98.7% [4][5]. - AI technology has accelerated the identification of potential therapeutic targets in Parkinson's disease, completing in five years what would traditionally take decades [5].