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PREMIO COLLAB · Project

Advanced Breast Cancer Monitoring Using AI and Molecular Imaging for Better Patient Outcomes

healthTestedTRL 5

Imagine trying to track a fire using an old map when you actually have a high-tech thermal camera available. This project replaces outdated CT scans with a more precise imaging tool called FDG-PET/CT to see exactly how breast cancer is responding to treatment. By involving patients in the process, they are creating a modern digital roadmap for care that helps doctors make faster, more accurate decisions.

By the numbers
13
partners
7
countries involved
8
total deliverables
The business problem

What needed solving

Cancer response monitoring has not been updated in decades, relying on outdated CT scans. This leads to suboptimal treatment adjustments and lower survival rates for patients with metastatic breast cancer.

The solution

What was built

A multicenter clinical trial comparing FDG-PET/CT to CT, digital workflows for patient pathways, and AI-based imaging and liquid biopsy tools.

Audience

Who needs this

Medical imaging hardware manufacturersOncology software developersLiquid biopsy diagnostic companiesHealth insurance providersPublic health agencies
Business applications

Who can put this to work

Medical Imaging
enterprise
Target: Radiology Equipment Manufacturer

If you are a manufacturer dealing with stagnant CT scan demand — this project developed FDG-PET/CT-based monitoring protocols that provide higher accuracy for metastatic breast cancer. This creates a clear clinical justification for hospitals to upgrade to molecular imaging hardware.

Health IT
mid-size
Target: Digital Health Software Provider

If you are a software company dealing with fragmented oncology workflows — this project developed digital workflows and AI-based imaging solutions. These tools streamline how doctors track cancer response, reducing manual errors in patient pathways.

Biotechnology
SME
Target: Liquid Biopsy Diagnostics Firm

If you are a diagnostics firm dealing with a lack of clinical validation for new tests — this project developed a pragmatic multicenter trial including liquid biopsies. This provides the evidence needed to integrate blood-based monitoring into standard cancer care.

Frequently asked

Quick answers

What is the cost-effectiveness of this approach?

The project includes cost-effectiveness analyses specifically designed to inform health policymakers and HTA agencies. Based on available project data, the exact price points are not yet listed.

Can this be scaled to an industrial level?

The project uses a multicenter randomised clinical trial across 7 countries. This provides a scalable model for clinical implementation across different European healthcare systems.

What is the IP or licensing status?

Based on available project data, there is no specific mention of patents or licensing agreements, as the project focuses on clinical recommendations and digital workflows.

How does this affect regulatory approval?

The project aims to provide knowledge for updated international recommendations for response evaluation in metastatic breast cancer. This evidence is intended to guide clinical implementation and policy changes.

What is the timeline for deployment?

The project period runs from 2024-01-01 to 2029-12-31, suggesting a long-term validation and implementation phase.

Consortium

Who built it

The consortium is heavily weighted toward academic and public research, with 6 universities and 2 research institutes. However, it includes 1 industry partner and 4 other organizations across 7 countries, indicating a strong clinical validation network. The 8% industry ratio suggests the project is currently in the evidence-generation phase rather than the commercial-scaling phase.

How to reach the team

Contact REGION SYDDANMARK in Denmark

Next steps

Talk to the team behind this work.

Contact us to connect with the PREMIO COLLAB consortium for AI imaging integration.

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