Machine learning based multi-scale remodelling code

This instruction illustrates a machine learning-based multi-scale model to predict bone formation in tissue scaffolds. This code uses neural networks to predict bone formation in synthetic scaffolds. We are sorry that the code is a little bit messy as we are not good at coding. The code can be used to predict bone remodelling results in synthetic scaffolds in a multi-level way. Therefore, it enables to inversely identification of the bone remodelling related parameters from clinical data. In order to run the machine learning-based multiscale bone remodelling program. The following platforms are what you need: Abaqus v2016/v614 Matlab R2020b An Abaqus plugin tool which can be downloaded from https://github.com/mhogg/pyvxray.git Jupyter notebook with Python 3. <strong>Please see the related documents in version 1.1 (https://zenodo.org/record/5017032#.YNVVF-gzaUk)</strong>.