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Genomics and Personalized Medicine for all though Artificial Intelligence in Haematological Diseases

Descrizione del progetto

l’IA stimola la ricerca contro le malattie ematologiche basata sull’omica

Prove sempre più numerose indicano che la medicina personalizzata può trattare e gestire malattie ematologiche comuni, rare e ultra rare. Per affrontare tale esigenza e per sostenere ulteriormente la ricerca, il progetto GenoMed4ALL, finanziato dall’UE, svilupperà una piattaforma di condivisione dei dati che utilizza innovativi modelli di intelligenza artificiale avanzati. A sostegno di tale sforzo, i partner del progetto condivideranno infrastrutture, potenti impianti di calcolo, archivi ospedalieri e strumenti di elaborazione dei dati. Alcuni approcci di apprendimento automatico e statistica avanzata contribuiranno all’utilizzo dell’omica e di dati clinici nella ricerca orientata al paziente e nel processo decisionale. Collettivamente, tali strumenti potranno generare terapie ed esiti clinici migliori.

Obiettivo

GENOMED4ALL will support the pooling of genomic, clinical data and other “-omics” health data (data EHR, PET, MRI and CT , Next Generation Sequencing, Microarray, Genome Wide Association, Copy Number Variations, DNA sequencing, RNA sequencing, including single cell, etc.) through a secure and privacy respectful data sharing platform based on the novel Federated Learning scheme, to advance research in personalised medicine in haematological diseases thanks to advanced novel AI models and standardized sharing of cross-border data. GENOMED4ALL will make use of the existing infrastructures and initiatives, including powerful High Performance Computing facilities, hospital registries, data processing tools, and pre-existing repositories, starting from 10 clinical partners repositories to be enlarged especially by the resources provided by ERN-EuroBloodNet where GENOMED4ALL clinical partners have a leading position, which contain 66 relevant clinical sites providing repositories and knowledge, for the successful exploitation of genomics, clinical and other related “-omics” data to facilitate personalised medicine in common, rare and ultrarare haematological diseases to demonstrate the versatility and utility of the solutions, and 20 external of this network.
GENOMED4ALL will demonstrate the potential and benefits of trustable and explainable AI technologies, with a novel approach to AI models and algorithms using AI advanced deep learning, variational autoencoders, generative models, besides combining with advanced statistical and Machine learning processes approaches to exploit the powerful set of “-omics” data which will be at researchers’ disposal. This will allow for identifying new knowledge, to support clinical research and decision making by linking Europe's relevant genomic repositories in haematological diseases, while ensuring full compliance with data protection legislation and ethical principles, and increasing the AI trust for personalized medicine.

Invito a presentare proposte

H2020-SC1-FA-DTS-2018-2020

Vedi altri progetti per questo bando

Bando secondario

H2020-SC1-FA-DTS-2020-1

Meccanismo di finanziamento

RIA - Research and Innovation action
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Coordinatore

UNIVERSIDAD POLITECNICA DE MADRID
Contribution nette de l'UE
€ 869 375,00
Indirizzo
Calle ramiro de maeztu 7 edificio rectorado
28040 Madrid
Spagna

Mostra sulla mappa

Regione
Comunidad de Madrid Comunidad de Madrid Madrid
Tipo di attività
Higher or Secondary Education Establishments
Collegamenti
Altri finanziamenti
€ 0,00

Partecipanti (29)