Project

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

Acronym
IPC
Code
41W00119
Duration
01 January 2019 → 31 May 2023
Funding
European funding: framework programme
Research disciplines
  • Medical and health sciences
    • Laboratory medicine
    • Palliative care and end-of-life care
    • Regenerative medicine
    • Other basic sciences
    • Laboratory medicine
    • Palliative care and end-of-life care
    • Regenerative medicine
    • Other clinical sciences
    • Other health sciences
    • Nursing
    • Other paramedical sciences
    • Laboratory medicine
    • Palliative care and end-of-life care
    • Regenerative medicine
    • Other translational sciences
    • Other medical and health sciences
Keywords
oncology
 
Project description

Effective personalized medicine for paediatric cancers must address a multitude of challenges, including domainspecific 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 stateof- 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.