brain-age-modeling skillA
brain-age-modeling is agent-read markdown (skill) from cuhk-aim-group/neurodiscovery: Use this skill whenever the user wants brain-age prediction, predicted-age bias correction, Brain-PAD/brain-age gap export, cross-validated age modeling, or downstream group analysis of accelerated or delayed brain aging. Triggers include 'brain age', 'Brain-PAD', 'brain age gap', 'predicted age', 'age bias correction', 'accelerated aging', and 'neuroimaging age model'..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Brain-Age Modeling Workflow ## Overview `brain-age-modeling` is a leakage-safe task workflow over NeuroClaw regression estimators. It trains predicted-age models, fits age-bias correction on each training fold, and exports held-out raw age, corrected age, and Brain-PAD. ```text Brain-PAD = bias-corrected predicted age - chronological age ``` Positive Brain-PAD indicates an older-appearing brain relative to chronological age under the fitted model; it is not by itself a diagnosis or causal effect. --- ## Installation ```bash pip install numpy pandas scipy scikit-learn joblib ``` Optional feature generators such as FreeSurfer, NeuroSTORM, or a 3D CNN are handled by their own skills before this tabular brain-age workflow. --- ## Workflows ### 1. Prepare brain features ```text subject_id,site,age,cortical_thickness,hippocampal_volume,fc_001 sub-001,A,64,2.51,3810,0.12 sub-002,B,59,2.63,4022,0.08 ``` Use a healthy training reference when the scientific interpretation requires deviation from normative aging. Do not include downstream disease outcomes as predictors. ### 2. Ridge brain-age model ```bash python skills/brain-age-modeling/scripts/train_reference.py \ …
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How to install
mdr add cuhk-aim-group/neurodiscovery/brain-age-modeling@git:20260825.cbd02ffmdr add cuhk-aim-group/neurodiscovery/brain-age-modeling@sha256:dce61d7dd22781b2Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_edpnjtgac6fzaz4i)
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Source
cuhk-aim-group/neurodiscovery · 91 stars · license MIT · pushed 2026-09-22 · branch main
API
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