Decoding biological age from face photographs using deep learning.
-
Updated
Sep 23, 2025 - Jupyter Notebook
Decoding biological age from face photographs using deep learning.
Scripts and modules for training and testing neural network for age prediction from the ECG. Companion code to the paper "Deep neural network-estimated electrocardiographic age as a mortality predictor".
This program analyzes methylation levels at six CpG sites in the genome of blood cells to produce a prediction of an individual's biological age, using different machine learning and deep learning models.
Predict Biological Age based on Lab Sample Data
A multi-tissue transcriptional age calculator
Python package for calculating biological-age clocks (lin_age, lin_age_2).
[AAAI FSS 2024] Deep learning framework for biological age prediction from DNA methylation data with preprocessing, CpG feature selection, model training, evaluation, and visualization pipeline.
Benchmarking open-source PPG foundation models (Pulse-PPG, PaPaGei-S) for biological age prediction on clinical data
An R package of placental epigenetic clock to estimate aging by DNA-methylation-based gestational age
Rasayana — Biological Age Prediction from Multi-Modal Health Data. Personalized longevity interventions powered by AI.
Add a description, image, and links to the biological-age topic page so that developers can more easily learn about it.
To associate your repository with the biological-age topic, visit your repo's landing page and select "manage topics."