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.
Fields of science
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencescomputer and information sciencescomputational science
- medical and health sciencesclinical medicineoncology
- medical and health scienceshealth sciencespersonalized medicine
- medical and health sciencesclinical medicinepaediatrics
Programme(s)
Funding Scheme
RIA - Research and Innovation action
Coordinator
9500 Villach
Austria
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Participants (22)
8803 Rueschlikon
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77030 Houston Tx
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75231 Paris
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64289 Darmstadt
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80138 Napoli
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9000 Gent
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08034 Barcelona
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
08003 Barcelona
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1000 Ljubljana
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
3584CS Utrecht
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80539 Munchen
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1105AZ Amsterdam
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69120 Heidelberg
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08916 Badalona Barcelona
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12489 Berlin
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
8006 Zurich
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69120 Heidelberg
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80539 Muenchen
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19104 Philadelphia
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00185 Roma
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2145 Westmead, New South Wales
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10117 Berlin
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