Imagine a smart digital assistant that acts like a high-powered magnifying glass for doctors. It scans huge amounts of patient data to spot the tiny warning signs of stomach inflammation before they turn into cancer. By calculating a risk score, it helps doctors catch the disease early when it is actually treatable, rather than too late.
Gastric cancer is usually found too late, leaving patients with only about one year of life. Clinicians struggle to manually analyze vast amounts of data to find early-stage inflammation.
An AI-powered assistant called Aida consisting of a clinician's toolbox with apps and dashboards, and a public-facing website.
If you are a health-tech AI developer dealing with the difficulty of automating complex pathology analysis — this project developed a multidisciplinary AI assistant that derives a risk score for gastric cancer. This allows for the creation of clinical dashboards that reduce manual work and human error.
If you are a private diagnostic clinic dealing with late-stage cancer detections and poor patient outcomes — this project developed a toolbox for clinicians that suggests personalised therapeutic strategies. This improves the outlook for patients by identifying precancerous inflammation at the earliest stage.
If you are a drug developer dealing with the need for better patient stratification in clinical trials — this project developed a data lake that cross-correlates multidisciplinary data to shed light on gastric oncogenesis. This helps in designing more targeted medical treatments and follow-up strategies.
Based on available project data, there is no information regarding the cost or pricing model for the tool.
The project aims to create a transnational focal point through an association and is designed to be aligned with European Data Spaces and GaiaX, suggesting a scalable architecture.
Based on available project data, specific IP or licensing terms are not mentioned, though the project results will be managed by a future association.
The project is preparing for MDR certification under Class 2a to be used as a medically certified tool in clinical practice.
The project runs from 2023-01-01 to 2026-12-31, with MDR certification preparation starting at the end of this period.
The consortium is heavily weighted toward research and academia, with 6 research organizations and 5 universities. However, it includes 15 partners across 8 countries, providing a broad European data base. The industry presence is low at 7% (1 company), suggesting the project is currently in a high-science phase and may require more industrial partnerships for commercial scaling.
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