Personalised multiscale models for risk fracture prediction

Marco Viceconti, Enrico Schileo, Fulvia Taddei, Saulo Martelli, Debora Testi

Research output: Contribution to journalArticlepeer-review


This paper briefly summarises the most recent developments in multiscale modelling technology as applied to the generation of personalised multiscale models of the musculoskeletal system to be used for the prediction of the risk of bone fracture. We describe how the VHPOP European consortium is compositing all these groundbreaking methods into a radically innovative multiscale technology that can radically change the clinical practice in a few years. A concrete proof of concept, based on the multiscale data made available by the Living Human Digital Library (LHDL) project, is briefly described, showing how multiscale modelling can be used to predict the risk of fracture in specific subjects with much greater accuracy.

Original languageEnglish
Pages (from-to)1067-1071
Number of pages5
JournalOsteoporosis International
Issue number6
Publication statusPublished - Jun 2010

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism


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