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Start-up and development of the platform
09 Jan 2024 -
Evaluation of the platform by pathologists
04 Jan 2025 -
Creating better algorithms
01 Jan 2026 -
Make the platform future-proof
08 Jan 2026
Cross-border collaboration for digital pathology and AI development
Pathology (the study of disease) is crucial in clinical workflows for diagnostics. Yet, there is a shortage of experts across the region. As healthcare becomes more digital, this project aims to bridge the gap between the two by creating a platform for digital pathology. This platform will help pathologists to work together, diagnose diseases, and use artificial intelligence (AI) tools more effectively.
Digital Pathology involves turning specimen slides into digital images that can be shared and analysed. This method makes diagnostics faster and more efficient. With the help of AI, pathologists can get extra support, especially when dealing with complicated diseases like lung or colorectal cancer. However, developing AI tools needs large volumes of high-quality data and intensive collaboration between pathologists and data scientists. DigiPathConnect will make this collaboration easier, bringing together experts from across the region to enhance diagnostic possibilities.
The platform will allow pathologists from different regions to work together in real-time. It will also include advanced AI tools to classify diseases and predict how patients respond to treatments. The project will also look into the integration of mass spectrometry imaging (an innovative molecular imaging technique) into digital pathology, further advancing the field.
By boosting innovation in digital pathology and AI-assisted workflows, DigiPathConnect will help the hospital use these applications, speed up research, and develop new algorithms. The project will also attract talent to the region, creating opportunities for startups and SMEs in this dynamic, high-tech ecosystem.
Contact
Details
Target audience
Budgets
Our partners
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UHasselt
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Maastricht University
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University of Liège
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Cytomine
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Aspect Analytics
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University of Cologne
Our co-financers
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Region Wallonnee
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Land NRW
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Ministry of Economic Affairs