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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
genotype/phenotype correlations to alloW rupturE risk stratification of intraCranial Aneurysm – WECAN
Intracranial aneurysms (IAs) affect 3% of the population and IA rupture is a devastating event (40% mortality). The ICAN biobank includes 3400 IA patients with clinical, imaging and DNA. WECAN relies on this exceptional resources for rupture risk stratification among IAs. WP1 uses image processing t
identifying GENetic factOrs influencing the development of VAScular aneurysms in autosomal dominant Polycystic Kidney Disease – GENOVAS-PKD
Autosomal dominant polycystic kidney disease (ADPKD) is the most common hereditary kidney disease, with an estimated prevalence of ~1 in 1000 to 1 in 2500 individuals. Its course is characterized by the development of multiple kidney cysts, causing progressive loss of kidney function and frequently
Cathepsin O and intracranial aneurysm – COCA
Intracranial aneurysm (IA) is a cerebrovascular abnormality characterized by localized dilation and thinning of the wall of a cerebral artery affecting 3% of the population. IA is generally silent and its devastating complication is its unpredictable rupture, resulting in subarachnoid hemorrhage, fa
Artificial Intelligence for clerMont – AIM
In the last few years, machine learning has become an increasingly important part of UCA’s research programs. In the last three years, at least 10 thesis on IA have been started and several laboratories are directly involved in a project related to IA. Key investments have been made in computing cap
3IA Côte d'Azur
L’Institut 3IA Côte d’Azur a démarré le 1er septembre 2019 sous la coordination d’Université Côte d’Azur, aux côtés du CNRS, Inria, Inserm et Eurecom. SKEMA Business School avait ensuite rejoint le consortium en 2021. L’année 2022 a été marquée par l’évaluation à la mi-parcours de l’i
Understanding and managing the Impacts of INVASIve alien species on Biodiversity and Ecosystem Services – InvasiBES
Invasive Alien Species (IAS) are among the most significant drivers of species extinction and ecosystem degradation, causing negative impacts on ecosystem services and human well-being. Using data and models across scales, habitats and species, the overall objective of InvasiBES is to understand and
ECOlogical and ECONomic trade-offs of VAluable invaSions: Insights, Opportunities and Novel Solutions – EconVasions
Invasive alien species (IAS) pose serious threats to biodiversity and ecosystem health, affecting human well-being. Many of those species have multiple roles, providing both benefits and burdens to ecosystems and stakeholders. Managing these Multiple-Role invasive species (MR-IAS) involves complex t
General pUrpose dIalogue-based DigitAl iNformation acCEss – GUIDANCE
- How to design new LLMs or re-use LLMs for DbIA; - How to leverage retrieval-Enhanced Machine Learning (ReML) techniques to improve the accuracy and efficiency of information retrieval systems; - Adapt LLMs and develop new architectures (for DbIA models) to deal with low resource and domain adapt
MIAI @ Grenoble Alpes
MIAI@Grenoble Alpes (MIAI) est l'Institut Interdisciplinaire en Intelligence Artificielle (3IA) de Grenoble créé en septembre 2019 par le gouvernement français. Avec PRAIRIE à Paris, 3IA Côte d'Azur à Nice et Aniti à Toulouse, MIAI participe au réseau des instituts 3IA. MIAI développe la prochaine g
