Prediction of biomechanical properties of ex vivo human femoral cortical bone using Raman spectroscopy and machine learning algorithms

This study applied Raman spectroscopy (RS) to ex vivo human cadaveric femoral mid-diaphysis cortical bone specimens (n = 118 donors; age range 21–101 years) to predict fracture toughness properties via machine learning (ML) models. Spectral features, together with demographic variables (age, sex) an...

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Bibliographic Details

Published in:	Bone Reports
Main Authors:	Mustafa UNAL, Ramazan UNLU, Sasidhar UPPUGANTI, Jeffry S. NYMAN
Format:	Article
Language:	English
Published:	Elsevier 2025-09-01
Subjects:	Artificial intelligence Machine learning Bone Raman spectroscopy Fracture toughness Bone research
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352187225000476