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August 16, 2025Ageing & LongevityOpen Access

Machine Learning Approaches for Biological Age Estimation: Narrative Review of Non-Invasive and Cost-Effective Methodologies

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Narrative review examines machine learning methods estimating biological age in non-invasive settings, suggesting practical applications.

Machine learning approaches estimate biological age, highlighting the importance of predictive performance and cost-effectiveness.
Emerging models show comparable accuracy to traditional methods, utilizing data from diverse sources like imaging and biomarkers.
This narrative review organizes recent methodologies, evaluating trade-offs in invasiveness and predictive accuracy for clinical application.
Despite advancements, challenges like data variability, validation issues, and ethical concerns remain to be addressed.

Rymaszewski et al. (2025) studied this question.

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August 16, 2025Ageing & LongevityOpen Access

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Authors

Narrative review examines machine learning methods estimating biological age in non-invasive settings, suggesting practical applications.

Machine learning approaches estimate biological age, highlighting the importance of predictive performance and cost-effectiveness.
Emerging models show comparable accuracy to traditional methods, utilizing data from diverse sources like imaging and biomarkers.
This narrative review organizes recent methodologies, evaluating trade-offs in invasiveness and predictive accuracy for clinical application.
Despite advancements, challenges like data variability, validation issues, and ethical concerns remain to be addressed.

Rymaszewski et al. (2025) studied this question.

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