Data related to In Silico Clinical Trial to Predict the Efficacy of Hip Protectors for Preventing Hip Fractures

Oliviero, Sara (2024) Data related to In Silico Clinical Trial to Predict the Efficacy of Hip Protectors for Preventing Hip Fractures. University of Bologna. DOI 10.6092/unibo/amsacta/7888. [Dataset]
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Abstract

This dataset contains the characteristics of a virtual cohort of proximal femurs generated with a statistical anatomy atlas. This cohort was used to simulate an In Silico trial to predict the effectiveness of hip protectors for preventing hip fractures, and its dependence on compliance (usage rate). Three different hip protectors were simulated (with attenuation coefficients of 12.9%, 19% and 33.8%). Results in terms of fracture incidence are reported for each cohort.

Abstract
Tipologia del documento
Dataset
Autori
AutoreORCIDAffiliazioneROR
Oliviero, Sara0000-0002-3111-2609Department of Industrial Engineering, Alma Mater Studiorum - University of Bologna (IT)
Parole chiave
Osteoporosis, Hip Fracture, Hip Protector, In Silico medicine, In Silico trial
Settori scientifico-disciplinari
Area 09 - Ingegneria industriale e dell'informazione > ING-IND/34 Bioingegneria industriale
DOI
10.6092/unibo/amsacta/7888
Contributors
Contributor
ORCID
Tipo
Affiliazione
La Mattina, Antonino Amedeo
Researcher
Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, Bologna (IT)
Savelli, Giacomo
Researcher
Department of Industrial Engineering, Alma Mater Studiorum - University of Bologna (IT)
Viceconti, Marco
Supervisor
Department of Industrial Engineering, Alma Mater Studiorum - University of Bologna (IT)
Oliviero, Sara
Contact person
Department of Industrial Engineering, Alma Mater Studiorum - University of Bologna (IT)
Data di deposito
19 Set 2024 08:58
Ultima modifica
19 Set 2024 08:59
Risorse collegate
Tipologia
Relazione
Identificativo
DOI
questo contributo è un supplemento di
Nome del Progetto
ISW - In Silico World: Lowering barriers to ubiquitous adoption of In Silico Trials
Programma di finanziamento
EC - H2020
URI
https://amsacta.unibo.it/id/eprint/7888

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© ALMA MATER STUDIORUM - Università d Bologna, 2007-2025.

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