dr-you-group/PROPHECG-Age-Single: PROPHECG-Age Single: Official Code & Weights (npj Digital Medicine)

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Authors: bluutaco
Cited by: 0

Abstract

📝 Overview This release contains the official source code and pre-trained model weights for the paper accepted in npj Digital Medicine. ✅ Features Pre-trained Weights: Located in the models/ directory. Inference Code: Updated README.md with detailed usage instructions. Reproducibility: Confirmed to run on Python 3.x with PyTorch. 📖 Citation Please refer to the README.md file for full citation details (e.g., BibTeX).

Fields of Study & Subjects

Face recognition and analysis Forensic Anthropology and Bioarchaeology Studies Machine Learning in Healthcare

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 January 2026