Opendata, web and dolomites

HealinguFE SIGNED

Development of an in silico model for prediction of in vivo human bone fracture healing using micro-finite element analysis

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "HealinguFE" data sheet

The following table provides information about the project.

Coordinator
EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH 

Organization address
address: Raemistrasse 101
city: ZUERICH
postcode: 8092
website: https://www.ethz.ch/de.html

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Switzerland [CH]
 Total cost 191˙149 €
 EC max contribution 191˙149 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2021-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH CH (ZUERICH) coordinator 191˙149.00

Map

 Project objective

Current knowledge of fracture healing is based on experimental animal studies of diaphyseal bone, despite 20% of fractures occurring in the metaphysis of the distal forearm. Moreover, current fracture healing assessment tools lack the resolution to identify and isolate the initial fracture site in cases involving a crushing fracture.

The objectives of this project are to (1) develop a micro-finite element (μFE) model for fracture site identification, (2) develop an in silico model for human bone fracture healing capable of tracking local microstructural changes, and (3) test the predictive power of the in silico model using clinical data. μFE models will be generated from high-resolution peripheral computed tomography (HRpQCT) data of the distal radius from wrist fracture patients. The μFE models will be generated from HRpQCT data collected at the early stages of fracture healing and compared to remodelling maps in order to determine if μFE models can be used to isolate the site of the initial fracture. Adaptations will be made to an existing in silico model based on the findings of the μFE analysis. The resulting in silico model will be applied to clinical HRpQCT data to predict endpoint microstructural changes as well as patterns in fracture healing and remodelling. The predictive power of this in silico model will be determined by comparing the simulation results to observed behavior in vivo.

The proposed project merges recent advances in bone mechanobiology, μFE simulations, and medical imaging to develop novel image analysis and registration methods as well as a tool for predicting if, when, and where fracture healing will occur. The proposed work will provide insights into the local behavior of trabecular bone fracture healing and help the fellow achieve professional maturity. Further, the in silico model has the potential to change the landscape of fracture healing research, particularly in areas of preclinical testing and personalized medicine.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "HEALINGUFE" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "HEALINGUFE" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.2.)

MBL-Fermions (2020)

Probing many-body localization dynamics using ultracold fermions in an optical lattice

Read More  

NPsVLCD (2019)

Natural Product-Inspired Therapies for Leishmaniasis and Chagas Disease

Read More  

MingleIFT (2020)

Multi-color and single-molecule fluorescence imaging of intraflagellar transport in the phasmid chemosensory cilia of C. Elegans

Read More