ArticleBiomimetics (Basel, Switzerland)2024
Leveraging Machine Learning for Optimized Mechanical Properties and 3D Printing of PLA/cHAP for Bone Implant.
Article in Biomimetics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Demystifying Nanotherapeutic Modalities: Unravelling the Mysteries from Antibiofilm Mechanisms to Regenerative and Clinical Translation.Biomedicines · 2026Review
- Artificial intelligence and peripheral neuropathies: Strategies for the development, application, and repair of regenerative biomaterials.Neural regeneration research · 2026Article
- Role of polymeric nanocomposite for tissue engineering applications.RSC advances · 2026Review
- Metallic topological structures in bone repair implants: Design, properties, and biological interactions.Journal of orthopaedic translation · 2026Review
- Bioengineered Teeth and Regenerative Strategies: Advances in Tissue Engineering and Stem Cell Applications.Annals of biomedical engineering · 2026Review
- Artificial intelligence in orthopedic regenerative medicine: from design to clinical translational pathways.Frontiers in cell and developmental biology · 2026Review
- Research Progress on Personalized Bone Implants Based on Additive Manufacturing.Micromachines · 2025Review
- Multi-objective optimization of mechanical properties in PLA/SCG/silane composites using synthetic data and XGBoost.RSC advances · 2025Article
- Machine learning-assisted stiffness prediction in high-cell-density bioprinting.Bio-design and manufacturing · 2025Article
- AI-driven biomaterial design: an intelligent closed loop from reverse design to biological response.Frontiers in cell and developmental biology · 2025Review
- Enhanced Mechanical Properties and Degradation Control of Poly(Lactic) Acid/Hydroxyapatite/Reduced Graphene Oxide Composites for Advanced Bone Tissue Engineering Application.Biomimetics (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 them suitable for load-bearing biomedical applications. The results indicate that increasing cHAP content improves the tensile and compressive strength of the scaffolds, although it also increases brittleness. Notably, incorporating cHAP at 7.5% and 10% significantly enhances thermal stability and mechanical performance, with properties comparable to or exceeding those of human cancellous bone. Furthermore, this study integrates machine learning techniques to predict the mechanical properties of these composites, employing algorithms such as XGBoost and AdaBoost. The models demonstrated high predictive accuracy, with R
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.