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individualizedPaediatricCure: Cloud-based virtual-patient models for precision paediatric oncology

Descrizione del progetto

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Modellizzazioni meccanicistiche virtuali per prevedere terapie personalizzate per i tumori infantili

Il progetto iPC, finanziato dall’UE, sta sviluppando un approccio di medicina personalizzata per bambini affetti da cancro, con particolare attenzione ai tumori pediatrici ad alta incidenza e ad alto rischio. Questo sforzo computazionale combinerà modelli meccanicistici, di apprendimento automatico e basati sulla conoscenza, allo scopo di prevedere terapie standard e sperimentali ottimali per ciascun bambino. L’approccio si basa su modelli virtuali dei pazienti, la cui analisi darà luogo a una diagnostica personalizzata e alla raccomandazione di terapie. Il consorzio annovera esperti nel campo della ricerca di base, traslazionale e clinica, e vanta solide relazioni con prestigiose organizzazioni di pazienti e studi clinici incentrati sulla medicina personalizzata per i casi di studio proposti.

Obiettivo

Effective personalized medicine for paediatric cancers must address a multitude of challenges, including domain-specific challenges. To overcome these challenges, we propose a comprehensive computational effort to combine knowledge-base, machine-learning, and mechanistic models to predict optimal standard and experimental therapies for each child. Our approach is based on virtual patient models–in-silico avatars whose analysis can inform personalized diagnostics and recommend treatments. Our platform will also allow care givers to query models and infer benefits and drawbacks for specific treatment combinations for each child. To construct these models, we will combine state-of-the-art computational methods and data from molecular assays, and clinical and preclinical studies. We will test their predictions prospectively on data from clinical trials and test therapies in pre-clinical settings. We will focus on a select panel of paediatric tumours including both high-incidence and high-risk tumour types. To accomplish our goals, we have assembled an interdisciplinary team consisting of basic, translational, and clinical researchers—all amongst the leaders in their respective fields—and established strong relationships with European Centres of Excellence, patient organizations, and clinical trials focus on personalized medicine for our proposed case studies. We will produce, assemble, standardize, and harmonize accessible high-quality multi-disciplinary data and leverage the potential of Big Data and HPC for the personalized treatments of European citizens. We will make our models and data available through a cloud-based platform, whose exploitation will be maximised through a collaboration with the European Open Science Cloud initiative. In summary, iPC will address the critical need for personalized medicine for children with cancer, contribute to the digitalization of clinical workflows, and enable the Digital Single Market of the EU data infrastructure.

Campo scientifico

Parole chiave

Programma(i)

Argomento(i)

Invito a presentare proposte

H2020-SC1-DTH-2018-2020

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Bando secondario

H2020-SC1-DTH-2018-1

Meccanismo di finanziamento

RIA - Research and Innovation action

Coordinatore

TECHNIKON FORSCHUNGS- UND PLANUNGSGESELLSCHAFT MBH
Contribution nette de l'UE
€ 513 004,90
Indirizzo
BURGPLATZ 3A
9500 Villach
Austria

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PMI

L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.
Sì
Regione
Südösterreich Kärnten Klagenfurt-Villach
Tipo di attività
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Collegamenti
Costo totale
€ 513 004,90

Partecipanti (22)

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Ultimo aggiornamento: 3 Aprile 2024

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Permalink: https://cordis.europa.eu/project/id/826121/it

European Union, 2024