ArticleInterface focus2016
Multiscale musculoskeletal modelling, data-model fusion and electromyography-informed modelling.
Article in Interface focus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05795348 (ForceLoss), which is not on this map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
ForceLoss: Part II - Osteoarthritic Patients. Development and Validation of Methods to Generate Personalised Models for the Differential Diagnosis of the Loss of Muscle Force
Who cites it
14 citing papers in PubMed.
- Capturing the Multiscale Nature of Bone Behavior: Classical, Data-Driven and Hybrid Techniques.Annals of biomedical engineering · 2026Review
- Overcoming pitfalls in multi-stack diffusion MRI for tractography reconstruction of skeletal muscles.Scientific reports · 2026Article
- Toward future diagnostics of Parkinson's disease: a perspective on multimodal motor assessment and personalized digital twins.Frontiers in aging neuroscience · 2026Article
- Patient-specific musculoskeletal modeling to enhance preoperative planning for pelvic fracture reduction.Communications medicine · 2025Article
- Neuromusculoskeletal Modeling and Force Prediction: Verification Through Experimental Neuromuscular Dynamics.Annals of biomedical engineering · 2025Article
- Multi-scale modeling and simulation of skeletal muscles with different fatigue degrees based on microphysiology.Scientific reports · 2025Article
- Neural-driven activation of 3D muscle within a finite element framework: exploring applications in healthy and neurodegenerative simulations.Computer methods in biomechanics and biomedical engineering · 2024Article
- Uncertainty in Muscle-Tendon Parameters can Greatly Influence the Accuracy of Knee Contact Force Estimates of Musculoskeletal Models.Frontiers in bioengineering and biotechnology · 2022Article
- Toward improved understanding of foot shape, foot posture, and foot biomechanics during running: A narrative review.Frontiers in physiology · 2022Review
- Integration of neural architecture within a finite element framework for improved neuromusculoskeletal modeling.Scientific reports · 2021Article
- The Sensor-Based Biomechanical Risk Assessment at the Base of the Need for Revising of Standards for Human Ergonomics.Sensors (Basel, Switzerland) · 2020Article
- A Systematic Review of Continuum Modeling of Skeletal Muscles: Current Trends, Limitations, and Recommendations.Applied bionics and biomechanics · 2018Review
- Article
- Advanced computational workflow for the multi-scale modeling of the bone metabolic processes.Medical & biological engineering & computing · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper proposes methods and technologies that advance the state of the art for modelling the musculoskeletal system across the spatial and temporal scales; and storing these using efficient ontologies and tools. We present population-based modelling as an efficient method to rapidly generate individual morphology from only a few measurements and to learn from the ever-increasing supply of imaging data available. We present multiscale methods for continuum muscle and bone models; and efficient mechanostatistical methods, both continuum and particle-based, to bridge the scales. Finally, we examine both the importance that muscles play in bone remodelling stimuli and the latest muscle force prediction methods that use electromyography-assisted modelling techniques to compute musculoskeletal forces that best reflect the underlying neuromuscular activity. Our proposal is that, in order to have a clinically relevant virtual physiological human, (i) bone and muscle mechanics must be considered together; (ii) models should be trained on population data to permit rapid generation and use underlying principal modes that describe both muscle patterns and morphology; and (iii) these tools need to be available in an open-source repository so that the scientific community may use, personalize and contribute to the database of models.
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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.