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Project | RE-SAMPLE

Duration:
REal-time data monitoring for Shared, Adaptive, Multi-domain and Personalised prediction and decision making for Long-term Pulmonary care Ecosystems

REal-time data monitoring for Shared, Adaptive, Multi-domain and Personalised prediction and decision making for Long-term Pulmonary care Ecosystems

Multi-morbid complex chronic conditions (CCCs) are highly prevalent in patients with Chronic Obstructive Pulmonary Disease (COPD) and timely and preventive care is essential. RE-SAMPLE will improve CCC disease management by creating a knowledge base of multimodal data from health records, clinical studies, expert and patient knowledge and guidelines, and extend this with state-of-the-art Real World Data collection. Predictive modelling through privacy-preserving Artificial Intelligence (AI), will increase the understanding of CCCs including the interdependence of multi-morbidities, and evidence in effective interventions for CCC disease management. As such RE-SAMPLE will act upon the need for diversified, personalized care to alleviate the overall societal and economic burden of these CCCs.

Partners

  • University of Twente, Netherlands
  • Medisch Spectrum Twente hospital, Netherlands
  • University of Piraeus Systems Security Lab, Greece
  • Tartu Ülikooli Kliinikum, Estonia
  • Policlinico Gemelli hospital, Italy
  • European Hospital and Healthcare Federation, Belgium
  • Atos IT Solutions and Services, Spain
  • Roessingh Research and Development, Netherlands
  • Innovation Sprint, Belgium

Contact Person

Dr.-Ing. Serge Autexier

Publications about the project

Sponsors

EU - European Union

965315

EU - European Union