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Measurement of microvascular perfusion by remote photoplethysmography applied to wound monitoring – Wound-rPPG
Chronic wounds are a major health problem, affecting millions of patients in Europe and resulting in substantial costs to healthcare systems. Traditional methods of wound monitoring, based on subjective visual observations and manual measurements, are often imprecise and painful for patients. To add
Measuring Divergent Thinking in Youth and the impact of culture – Medityc
In a context where exchanges between cultures are multiplying, partly because of globalization, it is important to study the impact of multiculturality on creative performance. The objective of the MEDITYC project was twofold. The first objective was to investigate a number of factors related to cul
Measuring and Improving Explainability for AI-based Face Recognition – XAIface
Face recognition has become a key technology in our society, frequently used in multiple applications, while creating an impact in terms of privacy. As face recognition solutions based on artificial intelligence (AI) are becoming popular, it is critical to fully understand and explain how these tech
Measuring people's mobility and presence using ICT – MobiTIC
Current approaches in official statistics, urban planning and transportation for measuring the presence of population at a given place in time, their mobility and land use are traditionally based on single-source data, such as census, surveys, traffic counts, etc., possibly integrated with geospatia
Mechanical Control of Pore Architecture to intelligently modulate molecular capture/separation/regeneration – MeaCoPA
One fascinating property of many porous Metal-Organic Frameworks (MOFs) is their stimulus-induced flexibility, a unique feature in the field of nanoporous adsorbents with respect to other reference materials such as active carbons and zeolites. Guest-induced pore size/shape modulation of this class
Mechanical properties of intracranial aneurysm wall in vivo – PRAnevrisme
PRAnévrisme (Prediction of Aneurysm Rupture) is involved in the development of a larger project aimed at providing clinicians with a quantitative tool to aid in the management of unruptured intracranial aneurysms. This tool will be based on knowledge of the vascular wall's degradation state in relat
Medical Diagnostic by Artificial Intelligence applied to LIBS Elemental Microscopy – dIAg-EM
The dIAg-EM project has two objectives, both related to the development of elementary imaging by LIBS (Laser-Induced Breakdown Spectroscopy) for the analysis of medical samples: 1) Develop an artificial intelligence algorithm (based on deep artificial neural networks) capable of performing, in real
Memristive Spiking Neural Networks for Artificial Intelligence and Brain-Machine-Interfaces – MemAI
The present project is aimed at the implementation of a Brain-Machine-interface (BMI) by integrating memristive Spiking Neural Networks (SNN) with an intact vertebrate animal model, the zebrafish larva, by means of an optogenetic neural link. The SNN will have learning capabilities, hence the BMI ma
Merging novel cascade reactions and flow chemistry to expand the glycochemical space – SweetDom
The overarching goal of this project is to expand the glycochemical space while pursuing a sustainability-oriented approach. The first objective is to exploit the high synthetic potential of bifunctional exo-glycals in novel catalytic cascade cyclizations. Such domino processes enable the one-step c
Mesocentre Network
MesoNET a pour objet de répondre aux besoins des chercheurs universitaires et industriels avec le développement d'équipements numériques structurants. L'idée principale est de renforcer la structuration des offres nationales et régionales en simulation numérique, le calcul haute performance (HPC), a
