ArticleNature communications2020
Age and life expectancy clocks based on machine learning analysis of mouse frailty.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 81 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
81 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Reversal of Chronic Stress-Induced Inflammaging by Bazi Bushen Formula Through AMPK-Sirtuins Axis Activation and Myeloid Reset.Exploration (Beijing, China) · 2026Article
- Frailty assessment in naturally aged mouse models: classification, limitations, and future directions.GeroScience · 2026Review
- Embracing non-linearity in human ageing.Nature reviews. Genetics · 2026Review
- The association of frailty with age and lifespan in mice differs by strain and sex.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- Age-related arterial stiffness and cerebrovascular dysfunction in mice correlate with cognitive impairment but are not reduced with long-term ALT-711 treatment.Physiological reports · 2026Article
- Lifelong behavioral screen reveals an architecture of vertebrate aging.Science (New York, N.Y.) · 2026Article
- Social and clinical frailty indices in aging mice: a comparative analysis of longitudinal and cross-sectional designs.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- A comprehensive review of artificial intelligence as a catalyst in aging research: insights, gaps and future perspectives.Frontiers in aging · 2026Review
- Life-long behavioral screen reveals an architecture of vertebrate aging.bioRxiv : the preprint server for biology · 2025Article
- Two-phase model of ageing in mice for improved identification of age-related and late life metabolic decline.BMC biology · 2025Article
- Multiomic clocks to predict phenotypic age in mice.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Article
- Lifelong restriction of dietary valine has sex-specific benefits for health and lifespan in mice.bioRxiv : the preprint server for biology · 2025Article
- Machine vision-based frailty assessment for genetically diverse mice.GeroScience · 2025Article
- Health octo tool matches personalized health with rate of aging.Nature communications · 2025Article
- The Mouse Social Frailty Index (mSFI): A Standardized Protocol.Bio-protocol · 2025Article
- Dietary methionine restriction started late in life promotes healthy aging in a sex-specific manner.Science advances · 2025Article
- Workshop Report-Heterogeneity and Successful Aging Part I: Heterogeneity in Aging-Challenges and Opportunities.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Article
- A torpor-like state in mice slows blood epigenetic aging and prolongs healthspan.Nature aging · 2025Article
- The mouse Social Frailty Index (mSFI): a novel behavioral assessment for impaired social functioning in aging mice.GeroScience · 2025Article
21 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
10 authors.
Funding
Abstract
The identification of genes and interventions that slow or reverse aging is hampered by the lack of non-invasive metrics that can predict the life expectancy of pre-clinical models. Frailty Indices (FIs) in mice are composite measures of health that are cost-effective and non-invasive, but whether they can accurately predict health and lifespan is not known. Here, mouse FIs are scored longitudinally until death and machine learning is employed to develop two clocks. A random forest regression is trained on FI components for chronological age to generate the FRIGHT (Frailty Inferred Geriatric Health Timeline) clock, a strong predictor of chronological age. A second model is trained on remaining lifespan to generate the AFRAID (Analysis of Frailty and Death) clock, which accurately predicts life expectancy and the efficacy of a lifespan-extending intervention up to a year in advance. Adoption of these clocks should accelerate the identification of longevity genes and aging interventions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.