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Artificial Intelligence – Diagnostic Imaging of Adrenal Lesions – AI-DIAL
AI-DIAL aims to decrease the rate of unnecessary adrenal surgery by more accurate diagnostics and improved surgical planning. We will build and exploit an unrivaled retrospective database of > 1500 adrenal surgery patients. Artificial intelligence (AI) use will enable a more detailed image feature a
Training CHIldren reading Comprehension skills with Adapted Artificial Intelligence – CHICA-AI
The 2019 PISA study shows that 20% of French 15-year-old students have severe difficulties in reading and that socio-economic gaps widen the differences in levels. Lalilo intends to reduce these inequalities by developing an online platform based on artificial intelligence to differentiate reading l
COmbining artificial intelligence and high-thrOughput electrOchemical micrOfluidic screening to engineer muLti copper oxidase – COOOL
The expected market for multicopper oxidases (MCOs), in particular laccases, is one of the fastest growing in the world with 2954 patents filed between 1998 and 2022. The industrial sector has filed 1548 patents, including L'oréal, Dupond, Novozymes,... But, the inability of laccases to operate at n
Artificial intelligence-driven approach to understand and predict drug-drug interactions related to ABC transporters and metabolizing enzymes – MetABC
Drug efficacy/toxicity prediction is a major concern in modern research and development. To prevent adverse drug reactions, in silico approaches assessing ADMET (absorption, distribution, metabolism, excretion, toxicity) have become an integral part of early drug discovery. We will develop an origin
Improving psychiatric screening with artificial intelligence – PORTRAIT
The aim of PORTRAIT project is to develop an adaptive test method that makes it possible to adapt the questions of a test according to the previous answers of the subject. For this, the project aims to extend recent advances in recommender systems and reinforcement learning methods to adapt tests. T
Distributed Intelligence for Enhancing Security and Privacy of Decentralised and Distributed Systems – Di4SPDS
Decentralised and distributed systems can support business with needs relating to computing and processing capacity in real time. However, these systems are constantly facing challenges from the sophisticated cyber-attack which are evolved and propagated different parts of the system to pose any pot
Speech-in-noise Intelligibility Deficits: Designing Psychophysical and Electrophysiological Markers of Spectral Shape-Coding Sensitive to Cochlear Synaptopathy – INSPECTSYN
At present, it is estimated that over 10% of individuals with clinically-normal audiograms have significant difficulty understanding speech-in-noise (SPiN). In particular, synaptopathy - the loss of synapses connecting the cochlea to the auditory nerve, caused by aging or noise exposure - is thought
Boosting the Frequency and Scale of Marine Biodiversity Monitoring Using Digital Imagery and Artificial Intelligence – BioBoost+
The development of observing capacity to provide informative and robust biodiversity assessments is crucial to evaluate progress against international agreements and to underpin evidence-based conservation and informed management strategies. Better understanding of biodiversity patterns and their dy
LIGHTweight edge artificial intelligence for Sensing and WIreless communications in connected FacTories – LIGHT-SWIFT
Artificial intelligence (AI) brings without any doubt huge opportunities to optimize efficiency of every industrial application and is a key point of Industry 4.0. The deployment of various sensors in factories, also called Industrial Internet of Things (IIoT) can either help workers in charge of ma