Computational models for predicting bone fracture healing: a review of modeling approaches, predictions, and emerging strategies.

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Bibliographic Details
Title: Computational models for predicting bone fracture healing: a review of modeling approaches, predictions, and emerging strategies.
Authors: Pires DG; Department of Mechanical Engineering, Centre for Mechanical Technology & Automation (TEMA), University of Aveiro, Aveiro, 3810-193, Portugal., Completo A; Department of Mechanical Engineering, Centre for Mechanical Technology & Automation (TEMA), University of Aveiro, Aveiro, 3810-193, Portugal.; Intelligent Systems Associate Laboratory (LASI), Guimarães, 4800-058, Portugal., Santos MPSD; Department of Mechanical Engineering, Centre for Mechanical Technology & Automation (TEMA), University of Aveiro, Aveiro, 3810-193, Portugal. marco.santos@ua.pt.; Intelligent Systems Associate Laboratory (LASI), Guimarães, 4800-058, Portugal. marco.santos@ua.pt.
Source: Biomechanics and modeling in mechanobiology [Biomech Model Mechanobiol] 2026 Apr 03; Vol. 25 (2). Date of Electronic Publication: 2026 Apr 03.
Publication Type: Journal Article; Review
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 101135325 Publication Model: Electronic Cited Medium: Internet ISSN: 1617-7940 (Electronic) Linking ISSN: 16177940 NLM ISO Abbreviation: Biomech Model Mechanobiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1617-7940
DOI:10.1007/s10237-026-02061-x