SciTransfer
DISARM · Project

AI-Driven Early Detection and Risk Assessment Tools for Ovarian Cancer

healthPilotedTRL 6

Imagine trying to find a tiny needle in a haystack before it even becomes a problem. This work creates smarter, cheaper tests and digital tools to spot ovarian cancer risks and early signs much faster than current methods. It's like upgrading a basic smoke alarm to a smart system that predicts a fire before it starts.

By the numbers
28
partners
12
countries involved
4
EU Member States for risk assessment investigation
5
countries for technology validation
The business problem

What needed solving

Ovarian cancer is often detected too late to be treated effectively. Current risk assessment and early detection methods are either too expensive, inaccurate, or not integrated into routine care.

The solution

What was built

A suite of affordable liquid biopsy technologies and AI-powered digital assets for risk assessment and early detection.

Audience

Who needs this

Diagnostic lab operatorsMedical device manufacturersDigital health app developersPublic health screening agencies
Business applications

Who can put this to work

Diagnostics
mid-size
Target: Liquid biopsy kit manufacturer

If you are a kit manufacturer dealing with low accuracy in early cancer detection — this project developed validated liquid biopsy technologies that provide highly accurate and affordable screening.

Digital Health
SME
Target: Health-tech software provider

If you are a software provider dealing with inefficient patient risk stratification — this project developed intelligent digital assets that support clinical risk assessment across 4 EU Member States.

Healthcare Services
enterprise
Target: Private clinic network

If you are a clinic network dealing with high costs of hereditary cancer management — this project developed a set of easy-to-use technologies to upscale routine healthcare screening in 5 countries.

Frequently asked

Quick answers

What is the cost or price of the developed solutions?

Based on available project data, specific pricing is not mentioned, but the project explicitly aims to create 'affordable technologies'.

Can these tools be scaled for industrial use?

Yes, the project focuses on upscaling and validating technologies in 5 countries, including the UK, Lithuania, Portugal, Czech Republic, and Greece.

How is the IP and licensing handled?

Based on available project data, specific licensing terms are not provided, though the project involves 8 industry partners and 7 SMEs.

What is the timeline for implementation?

The project runs from 2025-09-01 to 2029-08-31.

How will these tools integrate into existing healthcare?

The project focuses on rolling out proven solutions into routine ovarian cancer risk assessment and early detection programmes.

Consortium

Who built it

The project features a strong commercial orientation with 8 industry partners and 7 SMEs, representing a 29% industry ratio. The broad geographic footprint across 12 countries, including Canada and the UK, suggests a high capacity for international market entry and cross-border validation of the medical tools.

How to reach the team

Contact EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON in Greece

Next steps

Talk to the team behind this work.

Contact us to connect with the DISARM consortium for licensing opportunities.

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