Non-ischemic chronic cardiomyopathies (NICM) represent a complex group of cardiac diseases, accounting for 40% of heart failure patients. The challenge in classification, diagnosis, and treatment stems from their multifactorial nature and clinical variability. Major subtypes include dilated and hypertrophic cardiomyopathies (DCM and HCM), each with distinct characteristics. These diseases can progress to heart failure and carry a risk of cardiac arrhythmias, including sudden death. Currently, there are no risk stratification scores for these patients.

As a biocompatible semiconductor composed of abundant elements, ZnO has received a huge interest for a wide variety of electronic, optoelectronic, chemical, and biological sensing applications. Thanks to its high PZ coefficients as a semiconductor, the integration of ZnO into PZ devices such as PZ nano-generators and/or pressure/strain sensors has extensively been considered in the last decade.

With 1.6 doctors per 1,000 people worldwide and 3.2 doctors per 1,000 people in France, medicine is under immense demographic pressure and providing appropriate access to care to the entire population is still a dream. According to the WHO, 1 in 4 people in Europe are affected by psychiatric disorders during their lifetime. In France, nearly 3 million people are affected by depression each year. An important challenge of artificial intelligence is to facilitate medical diagnoses.

Medical implants replace dysfunctional or missing body parts to maintain physiological functions. The associated market is growing by 4%/year. However, the key factor restraining the market is high implant costs. In this view, PEEK and CRF-PEEK due to biocompatibility, mechanical properties similar to that of bone and radiolucency, are increasingly used instead of metals. But, these biomaterials are bionert inducing a very limited osseointegration, which is THE expectation for bone implants.

Pulmonary embolism (the blockage of a pulmonary artery by a blood clot) is the third cause of cardiovascular death in Europe. Upon diagnosis confirmation, clinicians evaluate the patient prognosis based on risk stratification models. The management of patient, thus its outcome, highly depend on this risk stratification. Recent studies confirmed that patient stratification based on computed tomography pulmonary angiogram (CTPA) are not well correlated to patient prognosis.

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.