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CORDIS

The RapiD and SecuRe AI enhAnced DiaGnosis, Precision Medicine and Patient EmpOwerment Centered Decision Support System for Coronavirus PaNdemics

Descrizione del progetto

Una piattaforma diagnostica e prognostica innovativa per le pandemie di coronavirus

Il progetto DRAGON, finanziato dall’UE, sostiene gli sforzi compiuti da un consorzio multinazionale di istituti di ricerca accademici, partner biotecnologici e farmaceutici, organizzazioni affiliate incentrate sui pazienti e società professionali per sviluppare una piattaforma diagnostica e prognostica multiforme con l’obiettivo di prevenire e contrastare future pandemie di coronavirus. I dati dell’attuale pandemia saranno utilizzati per convalidare e ottimizzare le soluzioni diagnostiche e prognostiche. Utilizzando tecniche avanzate di IA, la profilazione molecolare sarà orientata verso un approccio di medicina di precisione per lo sviluppo accelerato di nuove terapie. Lo studio proposto sarà uno dei primi a sviluppare tecniche innovative di apprendimento automatico e a introdurre miglioramenti delle procedure cliniche che avranno potenzialmente un impatto rivoluzionario sulle future epidemie di coronavirus.

Obiettivo

In this project, a multinational consortium of high-tech SMEs, academic research institutes, biotech and pharma partners, affiliated patient-centred organisations and professional societies will achieve a multi-faceted diagnostic and prognostic platform and a precision medicine approach. This consortium will together realize a patient empowerment centred decision support system that will enable multiple stakeholders to participate in improved and more rapid diagnosis and prognosis, as well as the potential of precision medicine for accelerated development of new therapies. Citizens and patients will be empowered to contribute to the efficient planning and usage of resources. The project will begin by rapidly delivering a nomogram. Data from the pandemic will be used to validate and further optimise a scalable multifactorial diagnosis/prognosis solution. Existing and new data and sample collection efforts will be used to perform molecular profiling, which - using advanced AI techniques will be shaped into a precision medicine approach. These initial outputs will undergo further enhancement and assessment to evaluate the value they add to the development of a decision support system. The entire effort will be supported by the deployment of a federated machine learning system that will allow for the GDPR compliant use of multinational data resources. The various iterations of the decision support system and the federated machine learning system will be made available to other coronavirus initiatives with the intent to develop a stakeholder community that forms the basis for a highly efficient innovation ecosystem. Our proposed study will be one of the first to develop innovative machine learning, and clinical procedure improvement that will potentially make a huge socio-economic impact for the coronavirus outbreak.

Meccanismo di finanziamento

RIA - Research and Innovation action

Coordinatore

UNIVERSITEIT MAASTRICHT
Contribution nette de l'UE
€ 1 114 670,16
Indirizzo
MINDERBROEDERSBERG 4
6200 MD Maastricht
Paesi Bassi

Mostra sulla mappa

Regione
Zuid-Nederland Limburg (NL) Zuid-Limburg
Tipo di attività
Higher or Secondary Education Establishments
Collegamenti
Costo totale
€ 1 114 670,16

Partecipanti (18)