Machine learning to spot frailty in aging mice

被引：2
|
作者：
Bisset, Elise S. [1 ]
Howlett, Susan E. [1 ,2 ]
机构：
[1] Dalhousie Univ, Dept Pharmacol, Halifax, NS, Canada
[2] Dalhousie Univ, Dept Med Geriatr Med, Halifax, NS, Canada
来源：
NATURE AGING | 2022年 / 2卷 / 08期
关键词：
RELIABILITY; IMPACT; INDEX;
D O I：
10.1038/s43587-022-00267-z
中图分类号：
Q2 [细胞生物学];
学科分类号：
071009 ; 090102 ;
摘要：
Mouse frailty can be measured with a frailty index by manually counting health deficits. Vivek Kumar and colleagues use machine learning to extract physical performance deficits from video data to create a 'visual frailty index'. This automated technique may facilitate high-throughput research into new frailty interventions.
引用
收藏
页码：684 / 685
页数：2
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