Next edition of the Avicenna Monthly Webinar Series, is taking place on Tuesday, 7 October 2025 at 5 pm CEST
Tuesday, 7 October 2025 at 5 pm CEST
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In this webinar the speaker will present the development of an in silico clinical tool designed to identify patients with spinal metastases at high risk of fracture. The session will trace the translational pathway from biomechanical analyses conducted in the laboratory to the creation of a clinically deployable, patient-specific simulation platform. This innovative approach supports clinicians in stratifying patients based on fracture risk, improving treatment decision-making and patient outcomes. The presentation will explore the computational modelling techniques, the integration of clinical data, and the validation process needed to ensure reliability and clinical relevance. Attendees will gain a deeper understanding of how in silico methods can enhance personalized spine oncology care and contribute to safer, more targeted interventions for patients with metastatic spinal disease.
BIO:
Enrico Dall'Ara is Full Professor at the Division of Clinical Medicine of the University of Sheffield. He is Director of Research for the Computational Modelling in Medicine research theme of the Insigneo institute for in silico medicine and directs the SkeletAl laboratory. Enrico is an expert of characterization of the mechanical properties of biological tissues in a multi-scale fashion, combining imaging, computational and experimental techniques. His main research interests are bone mechanics, developments of validation and calibration studies for in silico models at different dimensional scales and bone remodeling. His research aims also at reducing, refining, and replacing the usage of animal models in musculoskeletal research. He has led or contributed to externally funded research projects for a total in excess of 25M euro, funded by different national and international funding agencies including EU, EPSRC, NC3Rs, BBSRC, STFC. He has published more than 100 papers in international peer reviewed journals in the field of bone biomechanics and in silico modelling.
