A computational model simulates the clinical evolution of Chronic Obstructive Pulmonary Disease

This is the first result of the project INSPIRE, funded by the Spanish Ministry of the Economy and Competitiveness, and aims to create advanced computational models to improve the early detection of COPD.

A paper by the SIMBIOsys research group, directed by Miguel Ángel González Ballester, ICREA research professor, in collaboration with the Department of Biomechanics and Mechanobiology at BCN MedTech has been published in Frontiers in Physiology.

INSPIRE is an initiative promoted by Mario Ceresa, Jérôme Noailly and Miguel Ángel González Ballester, in collaboration with the Barcelona Supercomputing Center-National Center for Supercomputing (BSC-CNS). Jérôme Noailly (UPF) and Guillaume Houzeaux (BSC-CNS) are the principal investigators of this project whose technological scope will provide new knowledge that will prove significant in improving the quality of life of patients with COPD.

INSIPIRE will develop a model that integrates the different parameters involved in COPD to better characterize the disease and be able to offer personalized treatment to the patient. Likewise, it is expected to allow optimizing the exploitation of the results obtained by Genome Wide Association, relating molecular descriptors and images and facilitating the recruitment and differentiated grouping of patients according to their characteristics.

The description of a model based on medical images highly correlated with clinical trials will allow early diagnosis and enhanced monitoring of the disease, as well as being able to act in its early stages, thus facilitating the evaluation of the effectiveness of treatments in the short term.

Full information can be found here

Date: 06/12/2019 | Tag: | News: 1029 of 1589
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