logo

Effective combinational treatment of chronic pain in individual patients, by an innovative quantitative systems pharmacology pain relief approach.

Ended · Netherlands, United States, Germany, Spain, Italy, Belgium

Source: EU Funding & Tenders Portal

Project
Ended

Chronic pain is a complex disease suffered by about 20% of Europeans. Up to 60% of these patients do not experience adequate pain relief from currently available analgesic combinational therapies and/or suffer confounding adverse effects. Of the many conceivable combinations only a few have been studied in formal clinical trials. Thus, physicians have to rely on clinical experience when treating c

Status
Closed
Sector
Government
Location
Netherlands, United States, Germany, Spain, Italy, Belgium
Updated
22 Jul 2026
Source
EU Funding & Tenders Portal

ConstructChat

Ask ConstructChat about Effective combinational treatment of chronic pain in individual patients, by an innovative quantitative systems pharmacology pain relief approach.

Pick a question to edit it, or write your own.

First answer free · no account

I am a

Project Information FAQ

Project Information

4 Q
The project “Effective combinational treatment of chronic pain in individual patients, by an innovative quantitative systems pharmacology pain relief approach.” is an infrastructure initiative in the Government sector, located in Netherlands, United States, Germany, Spain, Italy, Belgium. Taiyo aggregates data on it from EU Funding & Tenders Portal.

Participants

Sponsoring Agency

Status

Original status

ended

Taiyo status

Closed

Taiyo last update

2026-07-22

Contact

Not available for this record.

Description

Description

Chronic pain is a complex disease suffered by about 20% of Europeans. Up to 60% of these patients do not experience adequate pain relief from currently available analgesic combinational therapies and/or suffer confounding adverse effects. Of the many conceivable combinations only a few have been studied in formal clinical trials. Thus, physicians have to rely on clinical experience when treating chronic pain patients. The vision of the QSPainRelief consortium is that alternative novel drug combinations with improved analgesic and reduced adverse effects can be identified and assessed by mechanism-based Quantitative Systems Pharmacology in silico modelling. This is far cheaper and less time-consuming than clinical trials. We will develop an in silico QSPainRelief platform which integrates recently developed 1) physiologically based pharmacokinetic model to quantitate and adequately predict drug pharmacokinetics in human CNS, 2) target-binding kinetic models; 3) cellular signalling models and 4) a proprietary neural circuit model to quantitate the drug effects on the activity of relevant brain neuronal networks, that also adequately predicts clinical outcome. This platform will include patient characteristics such as age, sex, disease status and genotypes, and will predict efficacy and tolerability of a wide range of analgesic and other centrally active drug combinations, and rank these. The best combinations will then be validated in a suitable animal model, in two clinical studies in healthy volunteers, as well as in real world clinical practice. Quantitative insights and confirmed effective combinational treatments will result in a game-changer by improving the management of pain in individuals and stratified sub-populations of chronic pain patients, and reduce the large burden on health-care providers greatly. It would also increase the understanding of chronic pain in general, and trigger the development of even better combination therapies in the future.

Location

Country

Netherlands, United States, Germany, Spain, Italy, Belgium

Source

Source

EU Funding & Tenders Portal

URL

More Details

Record type

Project

Sector

Government

Article published date

2026-02-01

More on this project

Research

Free account

View all details

You are reading the public part. A free account opens the rest:

  • Every detail on this project
  • News and media coverage
  • Technical research
View all details

Free account · no card · lands you back on this project