NMR Spectroscopy Combined with Machine Learning Approaches for Age Prediction in Healthy and Parkinson’s Disease Cohorts through Metabolomic Fingerprints

NMR Spectroscopy Combined with Machine Learning Approaches for Age Prediction in Healthy and Parkinson’s Disease Cohorts through Metabolomic Fingerprints

Biological aging can be affected by several factors such as drug treatments and pathological conditions. Metabolomics can help in the estimation of biological age by analyzing the differences between predicted and actual chronological age in different subjects. In this paper, we compared three diffe...

Full description

Bibliographic Details
Main Authors: Giovanna Maria Dimitri, Gaia Meoni, Leonardo Tenori, Claudio Luchinat, Pietro Lió
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
machine learning
metabolomics aging
spectrum
metabolites
lipids
Parkinson’s disease
Online Access:https://www.mdpi.com/2076-3417/12/18/8954

Similar Items

Similar Items