在大脑年龄预测方面,以英国生物库为中心的进步:综合性审查
Yanxue Li1, Hongjian Gao1, Lan Lin1
1Department of Biomedical Engineering, 12496 College of Chemistry and Life Sciences, Beijing University of Technology , Beijing, 100124, China.
Reviews in the neurosciences
|September 25, 2025
概括
这篇评论强调了英国生物银行.
科学领域:
- 神经成像是一种神经成像.
- 生物标志物 生物标志物
- 公共卫生 公共卫生
背景情况:
- 全球人口老龄化需要有效的大脑健康评估.
- 使用神经成像来预测大脑年龄是有希望的,但依赖于数据集质量.
- 对于可靠的大脑年龄预测模型来说,大型的代表性数据集至关重要.
研究的目的:
- 系统地审查使用英国生物库进行大脑年龄预测的研究.
- 分析机器学习和深度学习在这个领域的进展.
- 评估英国生物库的适用性,并提出未来的研究方向.
主要方法:
- 对70项同行评审研究 (2014-2024) 的系统审查.
- 专注于使用英国生物银行 (UKB) 数据集的研究.
- 分析机器学习和深度学习算法用于大脑年龄预测.
主要成果:
- 英国生物银行在推进大脑年龄预测研究方面发挥了重要作用.
- 确定了影响大脑年龄的关键因素及其临床影响.
- 评估了英国生物银行在这项研究中的优势和局限性.
结论:
- 英国生物银行对大脑年龄预测的准确性做出了重大贡献.
- 解决方法上的差距和提高临床适用性是未来的优先事项.
- 这项研究为诊断神经退行性疾病和个性化干预提供了基础.
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