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Urinary peptidomic patterns of Long-COVID syndrome – UriCoV
Long COVID is the most frequent, yet poorly characterized sequelae of the world´s most impactful pandemic during the last 100 years. It has tremendous, yet not even foreseeable consequences on personal health and socioeconomic status of affected individuals and families, and on global macro-economi
Rockfall risk: the use of Artificial Intelligence for the operational management of the risk – C2R-IA
Currently, the management of rockfall risk is mainly dealt with the construction of protective structures, which often represents a disproportionate cost compared to the financial resources of municipalities and private operators. Morever, it is often impossible to develop such solutions over an ent
Quantitative pH mapping in skeletal muscle using CEST MRI as an imaging outcome measure in the disease progression of neuromuscular disorders – CEST-pHou
In this proposal, the main objective is to optimize Chemical Exchange Saturation Transfer (CEST) magnetic resonance imaging (MRI) for pH mapping on a 3-T clinical scanner in skeletal leg muscle of patients with neuromuscular disorders. Using MR spectroscopy (MRS), we have shown the interest of ass
Labcom Laser Smart Surfaces Fonctionnalisation – LaserSurf
To meet the challenges of our society, such as guaranteeing human health and curbing climate change and soil pollution linked to human activities, the overall improvement of machine efficiency (motors, turbines, photovoltaic cells...) and the limitation of synthetic chemicals are the leitmotivs of i
Artificial-Intelligence-based Methods for Nanobody Design – ANDES
ANDES aims at developing and experimentally validating new computational methods for nanobody design, with a large spectrum of applications (therapies, diagnosis…) in order to have efficient technological solutions, ready to react very quickly and to face the emergence of new viruses. Our ambition l
Computational Design of Intrinsically Disordered Proteins: Application to Flexible Linkers – CORNFLEX
Up to now, protein structure prediction and design problems have been mostly formulated assuming that proteins fold into a well-defined three-dimensional form. Nevertheless, there is an increasing corpus of work showing that Intrinsically Disordered Proteins/Regions (IDPs/IDRs) perform highly releva
Spintronic Ising Machine – SpinIM
Context: The evolution of the modern information and communication society, trying to solve computing tasks of ever-increasing complexity and size, is expected to lead to energy consumption that will exceed the world’s energy production by 2040. This increase in energy consumption is related to th
Personalising myasthenia gravis medicine: from “one-fits-all” to patient-specific immunosuppression – MG-PerMed
Myasthenia Gravis (MG) is a prototypic autoimmune disease causing muscle weakness and fatigability, mostly treated by chronic immunosuppressive (IS) therapy. MG clinical heterogeneity, fluctuating symptoms with unpredictable disease course, and inter-individual variation in response to treatments, i
Acoustic environmental and individual factors shaping human hearing sensitivity: assessing the relative impact of urban and rural soundscapes – EARSCAPE
Anthropogenic noise is still not considered a serious contaminant with an impact on human health. However, the prediction of the number of people who will be affected by hearing and non-hearing diseases in 2050 has been revised upwards by WHO: it has tripled in 3 years, from 700 million to 2.5 billi
