Projects per year
Personal profile
Research interests
I am interested in the modelling and simulation of human movement to investigate injury mechanisms and understand human function. I truly believe in the use of predictive models and in silico simulations and their application in clinical settings for improving the monitoring and assessment of musculoskeletal diseases.
My research is focused on the use of an integrated approach that includes in vivo and in vitro experimental methodologies with in silico methods such as musculoskeeltal modelling and finite element analysis.
My current research line includes:
- Injury Biomechanics:
- The analysis of cervical spine injury mechanisms in rugby and horse racing;
- Analsis of hamstring injury in sprint running;
- Clinical Biomechanics:
- Biomechanical assessment and optimised treatment identification in axial Spondyloarthritis;
- Estimation of joint loading in partial gravity situations;
- Sport Biomechanics:
- Biomechanical analysis of rugby and horse racing activities;
- Computer simulation of sprint running;
Willing to supervise doctoral students
Computer simulation and musculoskeletal modelling in injury/sport/clinical biomechanics, ergonomics, and computer simulations.
Other responsibilities
Postgraduate (PhD and MD) Director of Studies for the Department for Health.
Research Theme Convenor for the Improving Human Function Department for Health research theme.
Teaching interests
- Biomechanics of human movement
- Musculoskeletal modelling and computer simulation of human movement
- Spinal biomechanics
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Human Physiology, Doctor of Philosophy, University of Milan
Award Date: 20 Dec 2010
Biomedical Engineering, Master of Engineering, Politecnico di Milano
Award Date: 19 Oct 2007
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Network
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ML-MSK Preventing Injury
Cazzola, D. & Silvestros, P.
RFU Injured Players Foundation
1/11/22 → 3/10/25
Project: UK charity
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The Earswitch: NIHR i4i PDA: taking proof-of-concept via co-design and objective technical/ user validation to a user ready assistive technology switch, incorporating wider health and care innovative sensor applications
Metcalfe, B., Cazzola, D. & Clarke, C.
National Institute for Health Research
1/04/22 → 31/03/24
Project: Central government, health and local authorities
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Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA) - 2.0
Cosker, D., Bilzon, J., Campbell, N., Cazzola, D., Colyer, S., Lutteroth, C., McGuigan, P., O'Neill, E., Proulx, M. & Yang, Y.
Engineering and Physical Sciences Research Council
1/11/20 → 31/10/25
Project: Research council
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Analysis of Spinal Injury in Horseracing
Cazzola, D., McGuigan, P. & Stokes, K.
1/04/20 → 31/03/24
Project: UK charity
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Co-developing biomechanics feedback methods to improve treatment for people living with axSpA
Rouse, P., Cazzola, D., Jones, S. & Sengupta, R.
21/02/20 → 31/08/23
Project: Research-related funding
Research output
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Consensus on a jockey’s injury prevention framework for video analysis: a modified Delphi study.
Lucas, D., Stokes, K., McGuigan, P., Hill, J. & Cazzola, D., 31 Dec 2022, In: BMJ Open Sport & Exercise Medicine. 8, 4, e001441.Research output: Contribution to journal › Article › peer-review
Open Access -
Does one single most economical running technique exist? Some preliminary results
Rivadulla, A., Chen, X., Cazzola, D., Trewartha, G. & Preatoni, E., 10 Jul 2022, Abstract Book of the 9th World Congress of Biomechanics, 10-14 July 2022, Taipei. Dublin, Ireland, 2 p.Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
Open AccessFile6 Downloads (Pure) -
Electromyography-Assisted Neuromusculoskeletal Models Can Estimate Physiological Muscle Activations and Joint Moments Across the Neck Before Impacts
Silvestros, P., Pizzolato, C., Lloyd, D. G., Preatoni, E., Gill, H. S. & Cazzola, D., 1 Mar 2022, In: Journal Of Biomechanical Engineering. 144, 3, 031011.Research output: Contribution to journal › Article › peer-review
Open AccessFile57 Downloads (Pure) -
Modifications to the net knee moments lead to the greatest improvements in accelerative sprinting performance: A predictive simulation study
Haralabidis, N., Colyer, S. L., Serrancolí, G., Salo, A. I. T. & Cazzola, D., 23 Sep 2022, In: Scientific Reports. 12, 1, 15908.Research output: Contribution to journal › Article › peer-review
Open Access -
Movement in low gravity environments (MoLo) programme–The MoLo-L.O.O.P. study protocol
Herssens, N., Cowburn, J., Albracht, K., Braunstein, B., Cazzola, D., Colyer, S., Minetti, A. E., Pavei, G., Rittweger, J., Weber, T. & Green, D. A., 23 Nov 2022, (E-pub ahead of print) In: PLoS ONE. 17, 11, p. e0278051Research output: Contribution to journal › Article › peer-review
Open Access
Datasets
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Dataset for "Development and validation of FootNet; a new kinematic algorithm to improve foot-strike and toe-off detection in treadmill running"
Chen, X. (Creator), Weir, G. (Creator), Cazzola, D. (Creator), Trewartha, G. (Creator), Hamill, J. (Creator), Preatoni, E. (Creator) & Rodriguez Rivadulla, A. (Creator), University of Bath, 26 Jul 2021
DOI: 10.15125/BATH-00965, https://github.com/adrianrivadulla/FootNet
Dataset