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PRecISion Medicine Institute in oncology
Les chances de guérir du cancer augmentent lorsqu’il est détecté de façon précoce avant que la maladie ne devienne trop complexe. Prism a pour objectifs de réussir à prédire la gravité des cancers dès le début de la maladie, à prédire la résistance aux traitements et à comprendre les mécanismes molé
Scheduling adaptive HPC jobs to navigate through the energy doldrums – EnergyDoldrums
High-performance computing (HPC) is crucial for advancements in science and engineering, and the demand for it has surged with the rise of artificial intelligence (AI). However, challenges such as escalating electricity costs and the need to reduce carbon emissions pose constraints on computing reso
Data-Knowledge Integration to improve the reliability of LCA projets in the Enterprise of the futur – i-DAVE
Despite the growing interest in life cycle assessment (LCA) and product carbon footprint (PCF) methods and tools, their application faces three challenges: data collection, the selection of relevant cost centers, and the robustness of reference databases. These challenges are very difficult because
Efficient and Dynamic ENergy Management for Large-Scale Smart Grids – EDEN4SG
This represents a challenge as strong couplings exist at different levels (local/global) between the smart grid actors which belong to an increasingly uncertain environment (e.g. growing dependence of electric production to photovoltaics and wind). This leads to a highly-coupled, multi-scale and mul
Small Omnidirectional BatVision: Learning How to Navigate from Cell Phone Audios – Omni-Batvision
Recent progress in audio-visual signal processing allows to leverage novel information from sound. Robots in simulation can perceive floorplans around corners, better estimate depth or navigate to fire alarms. Depth perception ahead of a binaural microphone can be achieved using echos, wi
Decision making under uncertainty based on data: awareness, learning and interpersonal consistency – DATA-AWARE
The standard model of decision making under uncertainty relies on an exogenously given, objective, and observable state-space, which is common to all agents. Fundamental economic concepts such as no-arbitrage and dominance are based on the assumption that the state-space is common knowledge. Data ar
Dynamic Visual Inferences and their Neural implementation – DyVINE
Theoretical framework: Our goal is to clarify the fundamental nature of neural processes in the brain that give rise to intelligent perception, cognition and action through a close integration of compatible theoretical, behavioral and neurophysiological approaches. Hypotheses and objectives: A c
Digital pathology for kidney transplant precision diagnostics – DEEPGRAFT
Rejection currently represents the major cause of allograft failure worldwide, with immediate consequences for the patients in terms of mortality, morbidity and cost for the society. Improvement of diagnostics and prognostics are required for better patient stratification, personalized treatment, an
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
Photoswitchable glycomacrocycles as chiral dopants for liquid crystals and fabrication of microswimmers – HELISWEETCH
The recent discovery that some photochromic glycomacrocycles could substitute for “molecular motors” in the development of photoactive cholesteric liquid crystals (CLCs) opens up a huge field of research due to the great variability of natural glycosides, the infinite potentialities of substitutions
