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News

27 May 2025

Final Steering Committee Meeting – A Strong Finish of a Collaborative Journey

We assembled for our Final Steering Committee (SC) Meeting this week, reviewing the milestones achieved and looking ahead to what’s next. Held virtually, it was filled with exciting results and lively discussions. Day 1 showcased the major progress, from signalling pathways and preclinical validation to data management, in silico analysis and development of the QSPainRelief model platform. Day 2 turned the spotlight on clinical insights, ethical frameworks, and project coordination. The team also explored how to take their work beyond the project – through dissemination, commercialisation opportunities, and applications for future funding. It was a celebration of what can be achieved through collaboration, innovation, and the shared vision of building a powerful, integrative tool for personalised treatment of chronic pain.

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Events

25 March 2025

Solenn Gousset completes her PhD – congratulations!

We cordially congratulate Solenn Gousset from André Mouraux’s group at QSPainRelief partner Université catholique de Louvain (UCL) for successfully defending her PhD thesis on March 25th 2025 – what an accomplishment! Her thesis is entitled “Novel approaches to investigate central sensitization: From experimental models to clinical perspectives”.

Solenn’s dedication and work remains an integral part of the QSPainRelief consortium and the project’s aims to better understand the neuroscientific mechanisms of pain, pain pathways, central sensitisation, and the development of chronic pain.

Jeroen Elassaiss-Schaap from QSPainRelief partner PD-value also served as part of the PhD jury / committee.

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Personalise and maximize pain relief for individuals suffering from chronic pain

Summary Statement

10 institutions in Europe and the USA collaborate for the next 5 years to help patients suffering from chronic pain. QSPainRelief aims to develop effective drug combination treatments for the improved relief of chronic pain. A quantitative systems pharmacology (QSP) mathematical modelling approach will be used to identify and validate more effective therapeutic interventions by smart combinations of existing drugs. The ultimate goal is to personalise and maximize pain relief for individuals suffering from chronic pain while diminishing side effects.

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Objectives

  • Consolidating cutting-edge treatment models for chronic pain
  • Summary Statement
  • Validating novel combinational therapies preclinically in vitro and in vivo
  • Conducting clinical studies to detect functional biomarkers
  • Improving the clinical guidelines for pain relief in stratified patient groups
  • Personalising pain relief treatment for each patient
  • Improving the scientific understanding of chronic pain regarding age, sex, disease and genetic factors

Impact

  • Novel concepts of combinational pain relief therapies
  • Improved efficacy and acceptability in the clinic
  • Effective stratification of patients with respect to age, sex, disease and genotype
  • Personalised treatment with unswerving benefits for patients
  • Unique knowledge gain and innovation opportunities