Dr Enrico Dall’Ara, PhD
Department of Oncology & Metabolism
The University of Sheffield
Beech Hill Road
Tel: +44 (0) 114 215 9079
Email : firstname.lastname@example.org
I hold a PhD in Biomechanics from the Vienna University of Technology and a Master degree in Mechanical Engineering from the University of Bologna. I joined the University of Sheffield in 2013 as Marie Curie Fellow at the Department of Mechanical Engineering. In 2015 I was appointed as Lecturer in Musculoskeletal Multiscale Imaging at the Department of Oncology and Metabolism. I have been Senior Lecturer since 2019 and part of the Insigneo Institute for in silico Medicine since 2013.
My research interests are related to better understanding the properties of musculoskeletal tissues across the space and time scales, by using imaging, experimental and computational methods. In particular, the main goal of my research is to develop and validate subject-specific computational models for the prediction of bone strength, bone remodelling and risk of fracture in healthy subjects and in patients with musculoskeletal diseases, applied to both preclinical and clinical studies.
I am a tutor and module leader for the Skeletal Health (MED6510) for the CIMA MRes.
I give invited lectures in different modules in engineering.
- Council member for the European Society of Biomechanics since 2018
- Executive Board of the Italian Chapter of the European Society of Biomechanics since 2018
- President of the UK chapter of the Virtual Physiological Human Institute since 2018
- Member of the ESB since 2008, BRS since 2014, ECTS since 2015 and ORS since 2017.
- Reviewer for the major journals of biomechanics and bone research.
- Validation of Finite Element models for bone at different dimensional levels
- Development and validation of multiscale models for predicting bone remodelling over time
- Preclinical assessment of osteoarthritis with longitudinal microCT
- Development of Finite Element models to study the outcomes of spine fixation
- Prediction of fracture risk for patient with vertebral metastases with QCT based computational models
- Investigation of the effect of bone metastatic lesions on bone strength
- Investigation of the mechanical properties of subchondral bone from OA patients
- Optimisation of Digital Volume Correlation techniques for measuring deformation in heterogeneous biomaterials
- Viceconti M, Dall’Ara E (2019): From bed to bench: how in silico models can help ageing research, Mech Ageing Develop. 177: 103-108
- Giorgi M, Sotiriou V, Fanchini N, Conigliaro S, Bignardi C, Nowlan N, Dall’Ara E (2019): Prenatal growth map of the mouse knee joint by means of deformable registration technique, Plos One. 14(1):e0197947
- Comini F, Palanca M, Cristofolini L, Dall’Ara E (2019): Uncertainties of Synchrotron microCT-based DVC bone strain measurements under simulated deformation, J Biomech. 86:232-237
- Giorgi M, Dall'Ara E. (2018) Variability in strain distribution in the mice tibia loading model: A preliminary study using digital volume correlation. Med Eng Phys. 62:7-16.
- Oliviero S, Giorgi M, Dall'Ara E (2018) Validation of finite element models of the mouse tibia using digital volume correlation, J Mech Behav Biomed Mater. 18;86:172-184.
- Oliviero S, Lu Y, Viceconti M, Dall’Ara E (2017) Effect of integration time on the Morphometric, Densitometric and Mechanical Properties of the Mouse Tibia, J Biomech. 8;65:203-211.
- Lu Y, Boudiffa M, Dall’Ara E, Bellantuono I, Viceconti M (2017) Novel 4-dimensional approach reveals early localised changes in bone mineral content following PTH treatment in mice, J Mech Behav Biomed Mat, 75: 244-51
- Costa MC, Tozzi G, Cristofolini L, Danesi V, Viceconti M & Dall'Ara E (2017) Micro Finite Element models of the vertebral body: Validation of local displacement predictions. PLoS One, Jul 11;12(7):e0180151
- Palanca M, Bodey A, Giorgi M, Viceconti M, Lacroix D, Cristofolini L & Dall'Ara E (2017) Local displacement and strain uncertainties in different bone types by digital volume correlation of synchrotron microtomograms. J Biomech. 2017 Jun 14;58:27-36
- Chen Y, Dall'Ara E, Sales E, Manda K, Wallace R, Pankaj P & Viceconti M (2017) Micro-CT based finite element models of cancellous bone predict accurately displacement once the boundary condition is well replicated: A validation study. J Mech Behav Biomed Mater, 65, 644-651.
For a full list of publications please visit myPublications
2019-2026: Centre for New Methods in Computational Diagnostics and Personalised Therapy (SANO) (coI, PI A Narracott, Horizon2020, EU, €2897k)
2019-2021: Frontier Engineering: Progression Grant in Modelling complex and partially identified engineering problems. Application to the musculoskeletal system (MULTISIM2) (coI, PI C Mazzà, EPSRC, £758k)
2019-2021: Comprehensive experimental and computational mechanical characterisation of metastatic vertebrae (METASPINE) (PI, IF MSCA, EU, €219k)
2019-2020: Equipment for Mouse gait laboratory (ECR capital enhancement Programme) (PI, EPSRC, £75k)
2018-2022: SPINe: Numerical and Experimental Repair strategies (SPINNER) (coI, PI G Reilly, Horizon2020 ITN EID, £476k)
2018-2021: In silico approaches for preclinical assessment of bone changes in osteoporosis and osteoarthritis studies (PI, NC3Rs, £352k)
2017-2020: Targeting mechanisms of ageing to maintain musculoskeletal health (coI, PI I Bellantuono, BBSRC, £261k)
2017-2018: Novel Assessment of the Osteoarthritic Hip Subchondral Bone: a Combined Experimental and Computational Investigation (PI, EPSRC, £101k)
2015-2018: Prediction of the risk of vertebral fracture I patients with metastatic lesions as a toll for more effective patients’ management (PI, Sheffield Hospitals Charity, £65k)
2015-2016: Multiscale characterization of osteoarthritic subchondral bone: combination of microCT, elastic registration and microindentation (PI, Royal Society, £15k)
2013-2015: Methodologically accurate modelling of bone (Fellow, IEF Marie Curie Fellowship, EU, €222k