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AcceleRating the Translation of virtual twins towards a pErsonalised Management of fatty lIver patients

Descrizione del progetto

Nuovi metodi per affrontare la malattia metabolica del fegato

La steatopsi epatica associata a disfunzione metabolica (MAFLD, metabolic associated fatty liver diseas) colpisce circa il 25% della popolazione europea. Progredendo da stadi silenti a complicanze gravi come la cirrosi e il carcinoma epatocellulare, la MAFLD comporta rischi significativi per la salute: spesso, infatti, i pazienti decedono non per il disturbo epatico in sé, ma per i problemi cardiovascolari associati. In questo contesto, il progetto ARTEMIS, finanziato dall’UE, fonderà modelli meccanici computazionali e di apprendimento automatico per fornire ai medici «gemelli virtuali» attraverso un sistema di ausilio alle decisioni cliniche. Queste controparti virtuali promettono una gestione personalizzata che va dagli stadi latenti a complicazioni critiche, come la cirrosi e il carcinoma epatocellulare. In particolare, ARTEMIS prevede la progressione della malattia e i rischi cardiovascolari e valuta di conseguenza le strategie di trattamento a disposizione, favorendo una sorveglianza proattiva dei pazienti. Grazie alle sue capacità predittive, ARTEMIS preannuncia un cambiamento di paradigma nella cura della MAFLD.

Obiettivo

The ARTEMIs project aims to consolidate existing computational mechanistic and machine-learning models at different scales to deliver ‘virtual twins’ embedded in a clinical decision support system (CDSS). The CDSS will provide clinically meaningful information to clinicians, for a more personalised management of the whole spectrum of Metabolic Associated Fatty Liver Disease (MAFLD). MAFLD, with an estimated prevalence of about 25%, goes from an undetected sleeping disease, to inflammation (hepatitis), to fibrosis development (cirrhosis) and/or hepatocellular carcinoma (HCC), decompensated cirrhosis and HCC being the final stages of the disease. However, many MAFLD patients do not die from the liver disease itself, but from cardiovascular comorbidities or complications.
The ARTEMIs will contribute to the earlier management of MAFLD patients, by prognosing the development of more advanced forms of the disease and cardiovascular comorbidities, promoting active surveillance of patients at risk. The system will predict the impact of novel drug treatments or procedures, or simply better life habits. The system will therefore not only serve as a clinical decision aid tool, but also as an educational tool for patients, to promote better nutritional and lifestyle behaviors.
In more advanced forms of the disease, therapeutic interventions include TIPPS to manage portal hypertension, partial hepatectomy, partial or complete liver transplant. ARTEMIs will contribute to predict per- or post-intervention heart failure, building on existing microcirculation hemodynamics models.
The model developers will benefit from a large distributed patient cohort and data exploration environment to identify patterns in data, draw new theories on the liver-heart metabolic axis and validate the performance of their models.
The project includes a proof-of-concept feasibility study assessing the utility of the integrated virtual twins and CDSS in the clinical context.

Coordinatore

MATICAL INNOVATION SL
Contribution nette de l'UE
€ 477 125,00
Indirizzo
AVENIDA MANOTERAS 24 PLANTA 2
28050 MADRID
Spagna

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PMI

L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.

Regione
Comunidad de Madrid Comunidad de Madrid Madrid
Tipo di attività
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Collegamenti
Costo totale
€ 477 125,00

Partecipanti (18)

Partner (2)