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Virtual, Physiological and Computational Neuromuscular Models for the Predictive Treatment of Parkinson's\nDisease

Description du projet


Virtual Physiological Human

NoTremor aims to provide patient specific computational models of the coupled brain and neuromuscular systems that will be subsequently used to improve the quality of analysis, correlation (of novel and established indicators) and progression of Parkinson's disease. In particular, it aspires to establish the neglected link between brain modelling and neuromuscular systems that will result in a holistic representation of the physiology for PD patients. A significant breakthrough of NoTremor is that these models will not be used for abstract representation of the physiology or as a match between theory and clinical measurements. NoTremor will integrate computational models of the basal ganglia and brainstem into a unique multi-scale parametric computational model that can be subsequently simulated in the NoTremor simulation engine in a physics-based manner. NoTremor will revolutionize research in the pathophysiology of neurodegenerative movement disorders and provide a novel approach for their analysis founded on a solid computational modelling basis that links midbrain degenerations to motor behaviour. The computational models will be quantified and validated through test campaigns with a very large cohort of PD patients. The ultimate challenging use of the NoTremor virtual patient models will be from the one side clinical decision support and from the other side the investigation, virtual prototyping and modeling of the influence of dopamine levels testing of new drugs using virtual patient models.

Appel à propositions

FP7-ICT-2013-10
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Coordinateur

ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS
Contribution de l’UE
€ 703 629,00
Adresse
CHARILAOU THERMI ROAD 6 KM
57001 Thermi Thessaloniki
Grèce

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Région
Βόρεια Ελλάδα Κεντρική Μακεδονία Θεσσαλονίκη
Type d’activité
Research Organisations
Contact administratif
Dimitrios Tzovaras (Dr.)
Liens
Coût total
Aucune donnée

Participants (6)