Spasticity is a motor disorder characterized by muscular hyperactivity caused by impaired nerve conduction.  Diagnosis of this pathology relies on the assessment of the degree of resistance of the limb following a passive movement performed by the practitioner, and is used to determine the treatment to be followed. However, this assessment remains subjective and requires practical experience. Experience can only be gained by training on real patients.

Le projet porte sur le développement de solutions innovantes en compression textile médicale (manchon de monitoring, capteur de mesure, application informatique de suivi et d'éducation thérapeutique) pour le lymphœdème et d'une plateforme digitale dédiée à l'amélioration de la qualité de vie des patients atteints de lymphœdème.

Ce projet a été financé par le gouvernement dans le cadre de France 2030.
 

Echocardiography plays a paramount role in day to day clinical practice to highlight structural or functional dysfunction of the heart. The observed abnormalities combined with clinical data of the patient lead to diagnoses, many of which requiring the performance of complementary examinations to diagnose the origin (etiology) of cardiac pathology which will modify the prognosis of patient and the subsequent therapy.

A cause de l’augmentation de la population et de l’urbanisation, fournir une eau potable bactériologiquement sure devient un problème majeur. La raréfaction de l’eau va conduire à utiliser des eaux recyclées qui peuvent être porteuses de pathogènes. Il y a donc un besoin de développer des systèmes simples et rapides pour détecter ces bactéries dans l’eau. Les systèmes existant (mise en culture après centrifugation, PCR,etc…) sont longs et peu compatibles avec une détection sur site.

We aim to develop a concept where physics, computer science and applied mathematics will enable faster imaging than with conventional techniques. To do so, we propose to shape light with spatial light modulators, which will allow the acquisition of multiple pixels at once and provide improved signal-to-noise ratios. Inspired by recent advances in artificial intelligence, we will develop neural networks capable of reconstructing high spectral resolution images in real time.

The objective of the RHU ICELAND is to develop a new solution for annuloplasty of the mitral valve by transfemoral approach integrating an Intra Cardiac Ultrasound. Such a solution can be performed while the heart is beating, without cardiopulmonary bypass, thus providing a first-stage mitral valve repair solution for patients considered high risk who are not eligible for open surgery, and further for most patients requiring mitral valve repair. .

L’objectif de ce projet est de développer des nouvelles méthodes de reconstruction d’images médicale multimodales en utilisant des techniques d’intelligence artificielle.

The rise of blockchains over the last decade has attracted growing attention from both academia and industry, leading to the development of several highly-visible systems and algorithms. These blockchain-based systems come, however, with many caveats in terms of performance and scalability, that are inherent to the total order that blockchain algorithms seek to achieve on their operations, which implies in turn a Byzantine-tolerant agreement.

Promouvoir la collaboration scientifique Japon-Lyon / St-Etienne à travers les étudiants-chercheurs.