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Combining AI and MC Simulations for Real-Time Quantification of DNA Damage Response to Ionizing Radiation – ARSINOE
The ARSINOE project represents a significant advancement in the field of radiation therapy planning, leveraging artificial intelligence (AI) to optimize the treatment process. By integrating AI into Monte Carlo (MC) simulations, ARSINOE aims to predict the biological consequences of ionizing radiati
Smart MEMS Instrumentation for Biophysical flow Cytometry with Statistical Learning – CYTOMEMS
The objective of CYTOMEMS is to demonstrate the first smart MEMS equipment performing high content biophysical characterization of cells in flow for their classification by statistical learning. Cell characterization is carried out by a bioMEMS device incorporating a microchannel for the passage
Speech impairment in Parkinson’s disease: effect of rhythm and neural entrainment – EntrainPark
Most individuals with Parkinson’s disease (PD) suffer from speech production impairments. The impairments need to be addressed as they decrease the communicative abilities of individuals with PD and affect their social life. The current project aims at exploring the relevance of rhythmic priming (i.
AI for Aging societies: From Basic Concepts to Practical Tools for AI-Facilitated Cognitive Training – AI-cog
Worldwide, people are living longer than ever before in history. Today, most people can expect to live into their sixties and beyond. Ageing societies, however, bring social, economical, and healthcare challenges. Japan (#1), France (#3) and Germany (#4) belong to the top five countries worldwide wi
Rational design concepts of Engineered Ceramics with Integrated catalytically active metal sites For electrochemical Energy conversion – RECIFE
Achieving a sufficient, permanent, emission-free and environmentally friendly energy system is a top priority for the global energy agenda. In these global efforts, material design and electrochemistry play a central role in offering alternative energy solutions. Renewable hydrogen, in particular, p
Behaviours in REM sleep: personalised Automatic 3D Video Analysis as novel tool to detect alpha-synucleinopathies – BRAVA
Rapid eye movement (REM) sleep behaviour disorder (RBD) is characterized by abnormal muscular activity and dream enactment in REM sleep. In its isolated form (iRBD), it is recognized as an early alpha- h Lewy bodies and multiple system atrophy). Due to the low number of specialized sleep centres and
International - Rapid rEcognition of CORticosteroiDs sensitivity or resistance in Sepsis – i-RECORDS
Sepsis and COVID-19 are both placing a major burden on societies and populations worldwide. Deregulated host response to infection is the hallmark supporting the routine use of corticosteroids (CS), a low-cost and highly efficient class of immuno-modulators, in sepsis/COVID-19. Stratifying patients
Automatic Understanding of Human Sensors Testimonials – CATCH
After the fire at the Lubrizol factory on September 26, 2019, many inhabitants of Rouen and its surroundings were victims of inconveniences such as very strong odors or symptoms that could lead to the suspicion of harmful health effects. Between September 26, 2019 and September 30, 2020, more than 6
Federated Microbiome AI for human health – FeMAI
The digital revolution, in particular big data and artificial intelligence (AI), offer new opportunities to transform healthcare. Big data analytics has the potential to combine molecular patient data with electronic health records to fulfil the promises of precision medicine. Systemic marker panels
Statistical ChAracterization of multi-scaLE complex Systems with information theory – SCALES
In nature, a large number of systems and processes present non-linear and multi-scale structures and behaviors, and are thus considered as complex systems. Because of these properties, models aiming at describing or predicting the behavior of complex systems need to take into account high-order stat
