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Integrating supervised and unsupervised machine learning for behavior segmentation reveals latent frailty signatures and improves aging clocks in isogenic and outbred mice

2026-03-25

Abstract excerpt

Manual frailty index (FI) assessment in mice is a strong predictor of morbidity and mortality, and is frequently used in mechanistic and translational geroscience. However, it is labor-intensive, requires expert training, and is vulnerable to scorer variability. We previously developed a visual frailty index (vFI) that objectively predicts age and frailty using expert-defined, supervised behavioral features extrac...

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Literature Corpus work
d78bb78b-c0da-5de2-a7a6-5a04dbc8d3f5
DOI
10.64898/2026.03.23.713050
Open publication

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Integrating supervised and unsupervised machine learning for behavior segmentation reveals latent frailty signatures and improves aging clocks in isogenic and outbred miceDOI 10.64898/2026.03.23.713050
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