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Neurotechno28

Neurotechno28

Title: Closed-loop system for the diagnosis, monitoring, and treatment of neurological diseases through Brain Machine Interface (BMI). Funding: Ministry of Enterprises and Made in Italy – MIMIT - Fund for Sustainable Growth ICAR Cost: € 417,560.33 ICAR Funding: € 337,560.33…

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Neurotechno29

Neurotechno29

Precision medicine and neurodegenerative diseases: Advanced diagnostic and treatment systems for Parkinson’s disease and Alzheimer’s disease. Over the past decades, advances in medicine have significantly improved both quality of life and life expectancy. However, these positive effects are also associated…

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PANORAIMA

PANORAIMA

Description: Artificial intelligence is drastically changing our society. However, there remains a shortage of individuals with the required digital skills to effectively and responsibly apply AI. The PANORAIMA consortium, a network consisting of 16 like-minded universities, research and industry partners,…

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IMPARA – IMAGING DALLE MOLECOLE ALLA PRECLINICA

IMPARA – IMAGING DALLE MOLECOLE ALLA PRECLINICA

The "IMPARA - IMAGING FROM MOLECULES TO PRECLINICS" Project aims to enhance laboratories of excellence in the field of bioimaging through the acquisition of a wide range of cutting-edge technologies in the fields of biological (microscopy) and preclinical biomedical imaging…

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MeSAS : Models And Tools For Sustainable AI

MeSAS : Models and Tools for Sustainable AI

Progetto: MeSAS - Models and Tools for Sustainable AI Descrizione: The MeSAS project is one of the sub-projects of the larger STRIVE – Sciences for Industrial, Green and Energy Transitions. MeSAS aims to develop methodologies and algorithms that go in…

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PRIDE:  Regional Pole For Evolved Digital Innovation

PRIDE: Regional Pole for Evolved Digital Innovation

Project: P.R.I.D.E., Regional Pole for Evolved Digital Innovation Description: P.R.I.D.E., Regional Pole for Evolved Digital Innovationis one of the top thirteen Italian European Digital Innovation Hubs financed by the European Commission. Created with the aim of enabling the digital transition…

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FAIR_Spoke 3: Resilient AI

FAIR_Spoke 3: Resilient AI

AI research challenges have all one crucial aspect in common: the use of machine learning algorithms trained with real-world data (in-the-wild data) that are unstructured, noisy, often incomplete, limited in number, and partially inconsistent. The quest for constant improvement in…

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