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Identification of patients at risk of torsade de pointes, a life-threatening arrhythmia, using ECGs and deep learning – DeepECG4U
Automated personalised prediction of the risk of TdP in cLQTS or diLQTS patients, can improve the accuracy of the physician's assessment and reduce the risk of cardiac events. This project aims to develop such a tool using artificial intelligence, which is rapidly reaching medical practice. Deep lea
Deciphering plant-microbiome interactions to enhance crop defense to bioagressors
Des résultats prometteurs montrent que la diversité inexploitée du microbiote du sol peut influencer la tolérance/résistance des plantes à des ravageurs. L’agriculture moderne doit donc relever le défi de concevoir une nouvelle génération de solutions agroécologiques permettant d’accroître la résist
eXplaining Competency and Autonomy development in Learning Environments – xCALE
With the advent of MOOCs, and the success of exercise-based platforms, large-scale online environments are becoming widespread, both in distant learning and in blended learning. Self-Regulated Learning (SRL) is known to have a good potential on autonomy development and on maintaining motivation fo
Role of Tbx3 in directing the functional identity of POMC neurons in obesity – neuroIDobese
While executing the experiments mentioned in Aim 1, we encountered a few technical issues that we have been able to overcome by successfully introducing backup strategies. In the original plan, we proposed the use of single-cell mRNA sequencing from ARC micro punches and/or FACS sorting to achieve t
A novel sensing method for the detection of pharmaceuticals in water – DETECMED
Micropollutants, among them pharmaceuticals, represent an alarming concern for water quality due to their toxicity, persistence, and low removal rate by conventional water treatments. The EU parliament pointed to the need for innovative solutions for treatment but also control of those emerging poll
Design and evaluation of Covid screening strategies in various contexts based on empirical contact data – Coscreen
In most European countries, the first wave of the COVID-19 pandemic has been fought with nationwide lockdowns with huge costs for the society, economy, and well-being of individuals. There is now a strong political effort to maintain schools open and focus on restrictions targeting other setting
The NILE & AFAR areas: hydrological change sensitivity and impact on past human adaptation since 20,000 years – NILAFAR
Numerical models that synthesize our knowledge of the climate system predict extreme variations in the water cycle over the future decades that will impact natural resources and populations. In the Horn of Africa, for several thousand years, periods of intense and weak monsoons have determined the a
Genomics of invasion of the ladybug Harmonia axyridis – GANDHI
We will focus on three main objectives. (1) we will consolidate our H. axyridis genomic resources by generating a high-quality annotated genome assembly and a medium-density linkage map; (2) we will explore the genome response of H. axyridis during invasion by refining the routes of invasion and by
Assessing Resilience of DEep COrals – ARDECO
Similar to their tropical analogues, cold-water colonial scleractinians are autogenic engineers that create complex habitats while fixing carbon dioxide in the form of aragonite and thus provide important support, provision and regulation services. These cold water corals (CWC) that thrive in the d
Intrinsically-Robust and Control-Aware Motion Planning for Robots in Real-World Conditions – CAMP
While there has been an effort in proposing “robust planners” or more “global controllers” (e.g., Model Predictive Control (MPC), a truly unified approach that fully exploits the techniques of the motion planning and control/estimation communities is still missing and the existing state-of-the-art h
