Mechanobiology-guided machine learning models for predicting long bone fracture healing across diverse scenarios.
Journal:
Computers in biology and medicine
Published Date:
Jul 7, 2025
Abstract
BACKGROUND: Fracture healing is a complex, time-dependent process governed by biological and mechanical factors, including implant properties. While finite element (FE) modeling provides detailed mechanobiological insights into this process, its computational cost remains a major limitation for widespread clinical or research use. In this study, we developed and validated a machine learning (ML) framework as a rapid alternative for a previously validated 21-day mechanoregulation-based FE model of femoral fracture healing in rodents.
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