Machine learning methods to support personalized neuromusculoskeletal modelling

DJ Saxby, BA Killen, C Pizzolato, CP Carty… - … and Modeling in …, 2020 - Springer
Many biomedical, orthopaedic, and industrial applications are emerging that will benefit from
personalized neuromusculoskeletal models. Applications include refined diagnostics …

The future of in-field sports biomechanics: wearables plus modelling compute real-time in vivo tissue loading to prevent and repair musculoskeletal injuries

D Lloyd - Sports Biomechanics, 2024 - Taylor & Francis
This paper explores the use of biomechanics in identifying the mechanistic causes of
musculoskeletal tissue injury and degeneration. It appraises how biomechanics has been …

[HTML][HTML] Multi-fidelity surrogate modeling through hybrid machine learning for biomechanical and finite element analysis of soft tissues

SS Sajjadinia, B Carpentieri, D Shriram… - Computers in Biology …, 2022 - Elsevier
Biomechanical simulation enables medical researchers to study complex mechano-
biological conditions, although for soft tissue modeling, it may apply highly nonlinear multi …

[HTML][HTML] Maintaining soldier musculoskeletal health using personalised digital humans, wearables and/or computer vision

DG Lloyd, DJ Saxby, C Pizzolato, M Worsey… - Journal of Science and …, 2023 - Elsevier
Objectives The physical demands of military service place soldiers at risk of musculoskeletal
injuries and are major concerns for military capability. This paper outlines the development …

Bioinspired technologies to connect musculoskeletal mechanobiology to the person for training and rehabilitation

C Pizzolato, DG Lloyd, RS Barrett, JL Cook… - Frontiers in …, 2017 - frontiersin.org
Musculoskeletal tissues respond to optimal mechanical signals (eg, strains) through
anabolic adaptations, while mechanical signals above and below optimal levels cause …

Rapid prediction of brain injury pattern in mTBI by combining FE analysis with a machine-learning based approach

VB Shim, S Holdsworth, AA Champagne… - IEEE …, 2020 - ieeexplore.ieee.org
Mild traumatic brain injury (mTBI) is a significant issue worldwide. Public awareness of the
dangers of mTBI has increased sharply in recent years, yet there is no easy-to-use tool …

Combining in silico and in vitro experiments to characterize the role of fascicle twist in the Achilles tendon

VB Shim, GG Handsfield, JW Fernandez, DG Lloyd… - Scientific reports, 2018 - nature.com
The Achilles tendon (AT), the largest tendon in the human body has a unique structural
feature, that is the fascicles in the AT display spiral twist. However, their functional and …

Influence of altered geometry and material properties on tissue stress distribution under load in tendinopathic Achilles tendons–A subject-specific finite element …

VB Shim, W Hansen, R Newsham-West, L Nuri… - Journal of …, 2019 - Elsevier
Achilles tendon material properties and geometry are altered in Achilles tendinopathy. The
purpose of this study was to determine the relative contributions of altered material …

Combining advanced magnetic resonance imaging (MRI) with finite element (FE) analysis for characterising subject-specific injury patterns in the brain after traumatic …

V Shim, M Tayebi, E Kwon, SJ Guild… - Engineering with …, 2022 - Springer
Traumatic brain injury (TBI) is a leading cause of death and disability. The way mechanical
impact is transferred to the brain has been shown to be a major determinant for structural …

Magnetic resonance imaging–based biomechanical simulation of cartilage: a systematic review

SM Seyedpour, S Nafisi, M Nabati, DM Pierce… - Journal of the …, 2022 - Elsevier
MRI-based mathematical and computational modeling studies can contribute to a better
understanding of the mechanisms governing cartilage's mechanical performance and …