{
 "approved_by_author": "\u231b",
 "citation": "Goeminne, L. J. E., et al. \"Plasma protein-based organ-specific aging and mortality models unveil diseases as accelerated aging of organismal systems.\" Cell Metabolism 37, 205\u2013222.e6 (2025).",
 "citations": 128,
 "citations_date": "2026-10-02",
 "clock_name": "organagemortalityolink1500intestine",
 "data_type": "proteomics",
 "doi": "https://doi.org/10.1016/j.cmet.2024.10.005",
 "journal": "Cell Metabolism",
 "last_author": "Vadim N. Gladyshev",
 "model_type": "elastic net Cox regression",
 "n_features": 17,
 "notes": "Intestine OrganAge mortality model for Olink Explore 1536, using author-recommended fold 1. Input columns are the original case-sensitive protein symbols and values are Olink NPX, already normalized. No additional centering or cohort scaling is applied. Absent proteins contribute zero; NaNs in supplied proteins propagate, matching the original Example_Script.R scoring expressions. For other assays, prepare and rescale protein values according to the author guidance before prediction. Output is relative natural-log mortality hazard, not age in years. Models labelled Female and Male contain protein features; neither requires a sex covariate. Academic/non-commercial research use only; commercial use requires a separate license from the authors.",
 "platform": [
  "Olink Explore 1536"
 ],
 "population": "adults",
 "predicts": [
  "mortality risk"
 ],
 "reference_values": true,
 "research_only": true,
 "species": "Homo sapiens",
 "tissue": [
  "blood"
 ],
 "training_target": [
  "mortality"
 ],
 "unit": [
  "log hazard"
 ],
 "version": "0.5.4",
 "year": 2025
}