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01 September 2023

September is Pain Awareness Month

September is Pain Awareness Month! The QSPainRelief consortium sends love and support to all patients, patient representatives, researchers, and clinicians who strive to improve the management of chronic pain and the quality of life for people suffering from it.

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21 September 2023

Translational Workshop at EFIC 2023

Join the QSPainRelief Workshop “Towards translation: Studies probing analgesic synergy and opioid-sparing effects” on Thursday, 21 September 2023, from 10:30-12:00 (GMT +2h) at EFIC 2023 in Budapest! The session is chaired by our scientific coordinator, Prof. Liesbeth de Lange (ULEI), and filled with presentations (20 min talks + 5 min Q&A each) by consortium members from UPF, UNIBO, and CHDR. At the end, there will be a general discussion (30 min).

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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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  • 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


  • 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