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Screening Women using magnetic rEsonance and Electronic Textiles, for HEART disease – SWEETHEART
INOCA (ischemia with non-obstructive coronary arteries) is a cardiovascular disease affecting primarily women, and its diagnosis is challenging. Coronarography is the reference examination, however it is invasive, ionizing, and costly. Stress cardiac magnetic resonance imaging (CMR) is a promising a
Inductive Biases for Compositionality-capable Deep Learning Models of Natural Language – COMPO
In Natural language processing, large deep learning-based language models have substantially changed the field in the last few years. However, we observe that these models sometimes fail in cases where humans do not have particular problems. The COMPO project proposes to design new models with b
Design of Optimal Online Matching Markets – DOOM
Future markets are going to be online, wide (even international) and the pairing between offer and demand is going to be facilitated, organized, and regularized by some platforms, obviously learning from gathered data, past errors, and successes, in some automatic fashion. Artificial intelligence wi
Durability improvement for PEM water Electrolysers by AI-accelerated multiscale degradation modelling – DuraPEME
In France, water electrolysis using renewable energy is nowadays considered a promising solution for producing hydrogen without dependencies on fossil fuels. Among different types, polymer electrolyte membrane water electrolysers (PEMWE) are considered the most favourable technology for hydrogen gen
Explainable AI through Variable Importance Tests – VITE
The use of Artificial Intelligence (AI) techniques in natural sciences have become pervasive, owing to their ability to perform prediction of a given outcome given some potentially complex input data. However, for the sake of scientific knowledge, AI cannot be used as a ready-made recipe, but shoul
PersonAlisation of RelApse risk in autoimmune DISEase – PARADISE
Autoimmune disease affects 10% of adults, most of whom are women, and two of the top five medications with the highest cost globally are used to maintain these recurring conditions in remission. These medications act by suppressing the immune system, leaving the patient exposed to severe infection a
Computer vision for an history of early news photo agencies at scale – HIGH-VISION
High-Vision combines expertise from the human sciences and computer vision in order to address the challenges posed by the mass digitization of heritage photographs. As a result of the historical bias inherent in the training data for computer vision systems used to analyze photographs from the late
Fluorinated Cyclopropane Amino Acids: from Synthesis to structural Implication in peptides for biological Applications – FLUORAAC
The FLUORAAC project aims to develop original accesses to cyclopropane amino acids bearing fluorinated groups (CF3, CF2H and CH2F) or a fluorine atom from nitro diazo acetates and alkenes bearing a fluorinated group. Other methodologies from diazo compounds bearing a CF3 or CF2H group and from an al
Etiological diagnosis of cardiac diseases based on echocardiographic images and clinical data – ORCHID
The objective of this project is to develop rigorous and explainable artificial intelligence (AI) models for the prediction of etiological diagnosis of cardiac diseases from heterogeneous inputs. For this purpose, we will create a cohort composed of 1000 patients with 4 distinct pathologies that req
Fostering Understanding of algorithm TrUst to Reduce aversion through Emotional and external advices influences – FUTURE
Advancements in artificial intelligence and new technologies is leading to the increasing integration of algorithms (i.e., decision support systems) into production systems. However, despite their benefits, a key observation remains: some individuals are reluctant to use the decision support systems
