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PAINLESS · Project

Home-Based Neuromodulation and Biomarkers for Non-Drug Cancer Pain Management

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Imagine if we could treat severe pain like a personalized prescription, but instead of pills, we used a smart device at home. This project finds biological 'fingerprints' in the brain to predict who will respond to specific treatments. It then uses a gentle electrical stimulation device to dial down pain without the side effects of heavy medication.

By the numbers
50%
Target reduction in opioid dependency
20%
Cancer patients with low response to pharmacological interventions
450
Patients in the longitudinal study
750
Patients in the cross-sectional study
450
Patients in the pilot study for tES efficacy
The business problem

What needed solving

20% of cancer patients do not respond to standard pain medications, and existing non-drug alternatives are often too invasive or expensive. This creates a gap in palliative care where patients suffer despite available pharmacological options.

The solution

What was built

A home-based, remotely-supervised non-invasive transcranial electric stimulation (tES) system and a customized web portal for patient management and biomarker tracking.

Audience

Who needs this

Neuromodulation device manufacturersPalliative care provider networksDigital health monitoring companiesPharmaceutical companies focusing on pain management
Business applications

Who can put this to work

Medical Devices
mid-size
Target: Neurostimulation hardware manufacturer

If you are a hardware manufacturer dealing with the high cost and risk of invasive surgical implants — this project developed a home-based, non-invasive transcranial electric stimulation (tES) system that reduces the need for opioids by at least 50%.

Digital Health
SME
Target: Remote patient monitoring platform provider

If you are a software provider dealing with poor patient adherence in palliative care — this project developed a customized web portal for remotely-supervised treatment and medication diaries to improve clinical management.

Healthcare Services
enterprise
Target: Private palliative care clinic network

If you are a clinic operator dealing with the 20% of cancer patients who do not respond to standard drugs — this project developed a biomarker-based stratification method to avoid trial-and-error prescribing.

Frequently asked

Quick answers

What is the cost or price of the solution?

Based on available project data, the specific price per unit is not listed, but the project aims to create a cost-effective alternative to expensive and invasive neurosurgical procedures.

Can this be scaled to an industrial level?

The project includes a pilot study with 450 patients and a techno-economic analysis to assess the possibilities of implementation across different European healthcare systems.

What is the IP or licensing status?

Based on available project data, specific patents are not listed, but the project involves 5 industry partners and 4 SMEs, suggesting a structured approach to results exploitation.

How does it integrate with current clinical workflows?

It integrates via a customized web portal and a medication diary, allowing for remotely-supervised home treatment and better data sharing between patients and caregivers.

What is the timeline for market availability?

The project runs from 2022-06-01 to 2027-05-31, indicating that full validation and Health Technology Assessment will be completed by mid-2027.

Consortium

Who built it

The consortium is highly balanced for commercialization, featuring 19 partners across 10 countries. With a 26% industry ratio (5 industry partners, 4 of which are SMEs), there is a strong bridge between the 4 universities and 4 research centers and the actual market. This structure suggests that the technical development is being closely monitored for commercial viability and regulatory compliance.

How to reach the team

Contact the Universidad de Santiago de Compostela regarding the tES home-based system

Next steps

Talk to the team behind this work.

Contact us to identify licensing opportunities for the neuromodulation biomarkers.

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