Machine Learning for the Photonic Evaluation of Cranial and Extracranial Sites in Healthy Individuals and in Patients with Multiple Sclerosis

Machine Learning for the Photonic Evaluation of Cranial and Extracranial Sites in Healthy Individuals and in Patients with Multiple Sclerosis

This study aims to characterize short-wave infrared (SWIR) reflectance spectra at cranial (at the scalp overlying the frontal cortex and the temporal bone window) and extracranial (biceps and triceps) sites in patients with multiple sclerosis (MS) and age-/sex-matched controls. We sought to identify...

Full description

Saved in:
Bibliographic Details
Main Authors: Antonio Currà, Riccardo Gasbarrone, Davide Gattabria, Nicola Luigi Bragazzi, Giuseppe Bonifazi, Silvia Serranti, Paolo Missori, Francesco Fattapposta, Carlotta Manfredi, Andrea Maffucci, Luca Puce, Lucio Marinelli, Carlo Trompetto
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
short-wave infrared (SWIR) spectroscopy
multiple sclerosis (MS)
reflectance spectra
chemometric analysis
in vivo analysis
Online Access:https://www.mdpi.com/2076-3417/15/15/8534
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2076-3417/15/15/8534

Similar Items