基础科学和病原发生学
Margaret E Flanagan1, David Gutman2, Brittany N Dugger3
1Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA.
Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 24, 2025
概括
大脑数字幻灯片档案 (BDSA) 是一个新的开源平台,用于共享神经退行性疾病的神经病理学数据. 它标准化数据,并集成机器学习工具,以改善研究和诊断.
科学领域:
- 数字病理学数字病理学
- 神经科学是一个神经科学.
- 数据科学是数据科学.
背景情况:
- 神经病理学评估是诊断神经退行性疾病的黄金标准,但在数据共享和样本准备方面面临挑战.
- 数字病理学和机器学习为标准化方法和提高诊断准确性提供了解决方案.
研究的目的:
- 开发大脑数字幻灯片档案 (BDSA),这是一个联合的开源平台,用于神经退行性疾病研究和诊断.
- 为了支持对阿尔茨海默病 (AD) 和相关痴呆症 (ADRD) 的全幻灯片图像 (WSIs),遵守FAIR数据原则.
- 为了实现WSIs,注释和元数据的标准化共享,用于机器学习算法开发.
主要方法:
- 基于数字幻灯片档案 (DSA),BDSA是一个NIH U24资助的平台,专门针对神经退行性疾病.
- 整合来自九个AD/ADRD研究中心的WSIs与统一的数据和通用数据共享协议.
- 实施匿名化工具以保证捐赠者的保密性,并遵守安全平台的最佳行政实践.
主要成果:
- BDSA整合了来自九个研究中心的世界数据中心,协调数据,并实施数据共享协议.
- 一个匿名化工具已被纳入,以确保捐赠者的保密性.
- 对于所有贡献的美国站点,已完成数据使用和材料转移协议,确保稳健安全的平台开发.
结论:
- 通过标准化,用户友好的数字存储库,BDSA实现了对神经病理学数据的访问民主化.
- 整合隐私,数据共享和机器学习工具可以增强神经退行性疾病的理解和协作.
- 作为一个联合的开源资源,BDSA有可能改变数字神经病理学,推动AD/ADRD研究的创新.
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