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

Project description

Virtual mechanistic modelling to predict personalised therapies for paediatric cancers

The EU-funded iPC project is developing a personalised medicine approach for children with cancer, focussing on high-incidence and high-risk paediatric tumours. This computational effort will combine knowledge-based, machine-learning and mechanistic models to predict optimal standard and experimental therapies for each child. The approach is based on virtual patient models whose analysis will inform personalised diagnostics and recommend treatments. The consortium comprises experts in basic, translational and clinical research, and it has established strong relationships with prestigious patient organisations and clinical trials focussed on personalised medicine for the proposed case studies.

Objective

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.

Call for proposal

H2020-SC1-DTH-2018-2020

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Sub call

H2020-SC1-DTH-2018-1

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Coordinator

TECHNIKON FORSCHUNGS- UND PLANUNGSGESELLSCHAFT MBH
Net EU contribution
€ 513 004,90
Address
Burgplatz 3a
9500 Villach
Austria

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Südösterreich Kärnten Klagenfurt-Villach
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Other funding
€ 0,00

Participants (22)