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IntraCranial ANeurysms: From familial forms to pathophysiological mechanisms – I-CAN
Intracranial aneurysm (IA) is an asymptomatic cerebrovascular abnormality affecting 3.2% of the general population. The devastating complication of IA is its rupture, resulting in subarachnoid haemorrhage that can lead to severe disability and death. Unfortunately, there are neither reliable clues n
Invasive seaweeds in rising temperatures: impacts and risk assessments – INVASIVES
Europe is a hot-spot for aquatic introductions with nearly 900 alien species reported at present. Introduction of Invasive Alien Species (IAS) is regarded as a serious threat to European biodiversity and ecosystems. Introduced seaweeds represent one of the largest groups of marine aliens in Europe,
Investigating the role of claudins in gastrointestinal cancer using Artificial Intelligence – CLAUD-IA
Claudins (CLDNs) are cell surface proteins essential for maintaining cell polarity and barrier integrity. Evidence from patient samples and preclinical models shows that CLDNs are overexpressed in solid tumors, playing a key role in cancer development and metastasis, making them valuable therapeutic
Irradiation of astrophysical ices – IGLIAS
The main goal of this project was to design and to build a new ultra high vaccum chamber (10-10mbar). WIth this device, icy samples can be prepared at 10K. It allows to follow in situ irradiation effects using infrared spectroscopy. This equipment will be installed on the beam lines of our national
Knowledge transfer strategies, networking and public engagement for a successful mitigation of risks induced by aquatic pollutants – AquaticPollutantsTransNet
AquaticPollutantsTransNet will foster the knowledge transfer and exchange from local to European scale and beyond. It supports the AquaticPollutants projects to create synergies and to maximize impacts of their research results through collective strategic dissemination, exploitation and communicati
L'IA pour tous à Sorbonne Université
Porté par SCAI (Sorbonne Center of Artificial Intelligence), Sorbonne.AI vise à massifier les programmes de formation à l’IA et aux sciences des données de Sorbonne Université (SU). Lancé en septembre 2022, le projet consiste dans le déploiement d’un continuum pédagogique ambitie
LABEX pour la modélisation et la simulation scientifiques en recherche
Le projet Calsimlab se concentre sur des domaines de recherche actuellement très actifs : chimie computationnelle, biologie computationnelle et bioinformatique, visualisation scientifique. Il met en relation et en interaction des scientifiques au cœur et à l'interface de plusieurs disciplines : chim
LIBS for Elemental high throughput analysis
Le projet LIBELUL a pour objectif de développer deux plateformes d’analyse élémentaire basées sur la technique de Laser Induced Breakdown Spectroscopy (LIBS). L’une de ces plateformes est dédiée à l’imagerie micro-LIBS haut débit, incluant d’autres diagnostiques optiques (image optique, RAMAN et Lum
Laboratory Analysis of Returned Carbonaceous Asteroid Samples – LARCAS
The mineral and isotopic composition, and the 3D spatial distribution of asteroid constituents are key parameters to understand the physico-chemical processes operating in the protoplanetary disk and/or in the asteroidal parent bodies all along Solar System history. The sample return missions Hayabu
Laboratory of Hydrological forecasting by Artificial Intelligence – Hydr.IA
The LabCom project associating the Hydrosciences Montpellier (HSM) research unit and the SYNAPSE company aims at developing a suite of hydrometeorological forecasting services based on artificial intelligence (AI) techniques. HSM is the leader research unit in the French environment for using artifi
