C-BRAIN与NVIDIA用AI推进失智症研究
由18家机构组成的C-BRAIN正与NVIDIA合作开发用于阿尔茨海默病等失智症研究的AI系统,并采用集中式与联邦式结合的方法,让模型能够在机构数据不离开机构边界的情况下进行学习。NVIDIA Blog称,C-BRAIN目前运行64块NVIDIA数据中心GPU,并与Microsoft Azure云节点配合使用,同时将BioNeMo和MONAI纳入研究流程。联盟还开发了开源代理式科研工具OpenScientist和InsightEngine,并计划利用神经影像、多组学、体液生物标志物和纵向临床数据构建多模态生物学基础模型。
C-BRAIN将联邦式数据访问、加速计算和代理式科研工具结合在一个具体的生物医学AI项目中,但相关性能数据和整体效果来自NVIDIA的叙述,尚未得到独立验证。
There are 57 million people worldwide living with dementia today. For the researchers working to help them, the obstacle isn’t a lack of effort — it’s too much data, too few experts to synthesize it and a pace of discovery that can’t keep up with the disease.
The Consortium for Biomedical Research and AI in Neurodegeneration (C-BRAIN), working with NVIDIA, is using AI to change that.
Alzheimer’s disease is one of today’s leading global health challenges, with over 10 million new dementia cases diagnosed each year. Despite a 7x increase in National Institutes of Health funding in the last 15 years — reaching $3.9 billion annually — no treatment has been found to stop, prevent or reverse the disease yet.
The bottlenecks are not enough high impact scientific findings, too much data living in institutional silos and too slow a pace of synthesis to keep up with the research that is published.
C-BRAIN, led by Dr. Randall Bateman and a consortium of 18 member institutions across academic, philanthropic, pharma and research organizations, launched in November 2025 to help scientists make better, faster discoveries by accelerating the research that makes new treatments possible.
#C-BRAIN#NVIDIA#NVIDIA BioNeMo#MONAI#OpenScientist#InsightEngine#Microsoft Azure#Lawrence Berkeley National Laboratory#387 Labs#Washington University School of Medicine