compneurobilbao/ageml

AgeML is a Python package for Age Modeling with Machine Learning made easy.

43
/ 100
Emerging

This tool helps researchers analyze how biological or clinical factors relate to a person's chronological age. You input data containing features like brain scans or genetic markers, alongside age and clinical group information. It then trains models to predict age, identifies significant 'age delta' correlations, and visualizes differences between clinical groups. This is designed for neuroscientists, clinical researchers, or anyone studying age-related changes in biological systems.

Available on PyPI.

Use this if you need to build and evaluate machine learning models to predict biological age, understand how various factors correlate with 'age delta' (the difference between predicted and chronological age), or classify clinical groups based on age-related features.

Not ideal if your primary goal is general-purpose machine learning model training outside of age modeling, or if you need a solution that doesn't require comfort with command-line tools.

neuroscience biomedical-research clinical-research aging-studies predictive-modeling
Maintenance 6 / 25
Adoption 5 / 25
Maturity 25 / 25
Community 7 / 25

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Stars

11

Forks

1

Language

Python

License

Apache-2.0

Last pushed

Nov 03, 2025

Commits (30d)

0

Dependencies

9

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