Leveraging Machine Learning for Optimized Mechanical Properties and 3D Printing of PLA/cHAP for Bone Implant

Leveraging Machine Learning for Optimized Mechanical Properties and 3D Printing of PLA/cHAP for Bone Implant

This study explores the fabrication and characterisation of 3D-printed polylactic acid (PLA) scaffolds reinforced with calcium hydroxyapatite (cHAP) for bone tissue engineering applications. By varying the cHAP content, we aimed to enhance PLA scaffolds’ mechanical and thermal properties, making the...

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Bibliographic Details
Main Authors: Francis T. Omigbodun, Norman Osa-Uwagboe, Amadi Gabriel Udu, Bankole I. Oladapo
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Biomimetics
Subjects:
machine learning
predictive modelling
data-driven optimization
regression algorithms
artificial intelligence in biomedical engineering
additive manufacturing
Online Access:https://www.mdpi.com/2313-7673/9/10/587
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