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EU funding (€14.7M): individualizedPaediatricCure: Cloud-based virtual-patient models for precision paediatric oncology Hor1 Jan 2019 EU Research and Innovation programme "Horizon"

Overview

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

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.


Funded Companies:

Company name Funding amount
ALACRIS THERANOSTICS GmbH €861,445
Barcelona Supercomputing Center Centro Nacional de Supercomputacion €1,011,665
BAYLOR COLLEGE OF MEDICINE €1,104,991
CHARITE - UNIVERSITAETSMEDIZIN BERLIN €0.00
Children's Medical Research Institute €0.00
Consiglio Nazionale Delle Ricerche €384,941
DEUTSCHES KREBSFORSCHUNGSZENTRUM HEIDELBERG €531,691
Fundacio Centre de Regulacio Genomica €0.00
IBM RESEARCH GmbH €2,020,507
Institut Curie €1,381,550
Institut de Investigacio en Ciencies de La Salut Germans Trias i Pujol €397,398
LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN €414,839
MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN e. V. €769,881
PRINSES MAXIMA CENTRUM VOOR KINDERONCOLOGIE B.V. €629,110
STICHTING AMSTERDAM UMC €437,263
Technikon Forschungs-UND Planungsgesellschaft mbH €513,005
TECHNISCHE UNIVERSITAT DARMSTADT €720,673
THE CHILDREN'S HOSPITAL OF PHILADELPHIA NON PROFIT ORG €175,652
Universita Degli Studi Di Napoli Federico II €482,857
UNIVERSITATSKLINIKUM HEIDELBERG €421,500
UNIVERSITAT ZURICH €1,451,213
Universiteit Gent €668,974
Xlab Razvoj Programske Opreme IN Svetovanje d.o.o. €369,244

Source: https://cordis.europa.eu/project/id/826121

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