A Framework for Personalized Musculoskeletal Modeling
A collaboration between Aalborg University, University of Twente and AnyBody Technology to provide the biomechanics community with a unified framework for creating subject-specific musculoskeletal models across diverse populations.
Why this collaboration?
Personalized musculoskeletal models are being used increasingly in biomechanics research, yet their development remains highly fragmented. Research groups worldwide develop their own independent workflows tailored to specific projects or patient populations. This limits reproducibility, makes collaboration across institutions more difficult, and slows overall scientific progress.
This collaboration brings together the complementary computational modeling expertise of Aalborg University and the University of Twente to address these challenges by developing a common, open-access framework for personalized musculoskeletal modeling. By combining expertise in musculoskeletal model development, biomechanics, and ultimately clinical translation, we aim to provide standardized modular building blocks that researchers can readily adapt and extend for diverse research questions and patient populations.
Supported by the AnyBody Modeling System and the software expertise of AnyBody Technology, the framework is designed to lower the barrier to creating robust, reproducible subject-specific models while promoting transparency, collaboration and accelerating the translation of computational biomechanics into research and clinical practice.
Explore the project on GitHub:
This is an implementation of the detailed knee model based on the dataset from the “Grand Challenge Competition to Predict In-Vivo Knee Loads“. An annual competition hosted at the ASME conference for researchers to blindly predict knee loads with musculoskeletal models. This model implementation was based on the is based on the 4th year dataset:
Leading the collaboration:
