Insigneo Institute collection

Published on: 04 Jul 2020 - 22:07:24
Authors: Marco Viceconti, Andrew Narracott
Total: 58 items
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The Insigneo Institute for In Silico Medicine is one of the largest research institutes in the world entirely dedicate to the development of predictive medicine technologies, where subject-specific computer models are generated that are capable of predicting quantities that are clinically relevant, but difficult or impossible to measure directly.

This collection includes all the datasets that any Insigneo members has put in Open Access via the University of Sheffield ORDA portal based on the FigShare system.

Categories: Biomechanical engineering, Clinical microbiology, Regenerative medicine (incl. stem cells), Biomedical engineering not elsewhere classified
Tags: Virtual Physiological Human, Computational Medicine, Predictive Medicine, in silico medicine, in silico clinical trial, personal health forecasting, INSIGNEO, Biomechanical Engineering, Biomechanics, Regenerative Medicine (incl. Stem Cells and Tissue Engineering), Biomedical Engineering not elsewhere classified
Thumbnail: Supplementary material for 'The uncontrolled manifold theory can explain only part of the inter-trial variability of knee contact force during level walking'

Supplementary material for 'The uncontrolled manifold theory can explain only part of the inter-trial variability of knee contact force during level walking'
Figure by Bart van Veen et al on 17 Jun 2020 09:29:20
752   266    

Data for the paper: "PTH(1-34) treatment and/or mechanical loading have different osteogenic effects on the trabecular and cortical bone in the ovariectomized C57BL/6 mouse"
Dataset by Enrico Dall'Ara et al on 02 Jun 2020 06:58:43
1376   238    

Data for paper "An image-based kinematic model of the tibiotalar and subtalar joints and its application to gait analysis in children with Juvenile Idiopathic Arthritis"
Dataset by Erica Montefiori et al on 09 Apr 2020 22:35:54
2236   777    

Data for MicroCT-based MicroFE of human vertebrae
Dataset by Enrico Dall'Ara on 11 Mar 2020 12:12:24
1341   262    

Data for the paper "Investigating the mechanical response of paediatric bone under bending and torsion using finite element analysis"
Dataset by Zainab Al Tai et al on 10 Mar 2020 11:52:14
1590   294    

Data for the paper "The effect of boundary constraints on patient classification using finite element predicted risk of fracture "
Dataset by Zainab Al Tai on 09 Mar 2020 17:21:12
1204   345    

Data for the paper "Humeral Fractures in Non-Ambulant Infants: CT-Based Finite Element Investigation Indicates an Unlikely Mechanism "
Dataset by Zainab Al Tai et al on 09 Mar 2020 16:43:04
1534   257    

Data for paper "Is a wearable sensor based characterisation of gait robust enough to overcome differences between measurement protocols? A multi-centric pragmatic study in patients with Multiple Sclerosis"
Dataset by Lorenza Angelini et al on 06 Mar 2020 07:50:55
1287   369    

Data used in the study "ChronoMID - cross-modal neural networks for 3-D temporal medical imaging data"
Dataset by Enrico Dall'Ara et al on 04 Feb 2020 12:21:00
1500   294    

Code used in the study "ChronoMID - cross-modal neural networks for 3-D temporal medical imaging data"
Software by Enrico Dall'Ara et al on 04 Feb 2020 12:07:52
801   295