DigiPathConnect

The DigiPathConnect project aims to create a digital pathology platform that integrates innovative AI algorithms and novel imaging techniques. Pathology (the study of disease) is crucial in clinical workflows for diagnostics. As healthcare becomes more digital and there is a shortage of pathologists across the Meuse-Rhine region (NL-BE-DE), this project aims to bridge the gap by creating an online platform. This platform will support pathologists in cross-border collaboration to accelerate cancer
diagnostics.

Digital pathology involves turning specimen slides into digital images that can be shared and analyzed online. 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. DigiPathConnect connects pathologists and data scientists to create advanced AI tools to
classify colorectal diseases and predict treatment response in lung cancer using large volumes of high-quality data. The project will also look into the integration of mass spectrometry imaging into
digital pathology, further advancing the field.

The consortium partners of DigiPathConnect are Hasselt University (BIOMED and DSI), Maastricht University (GROW and M4I), University of Liège (Montefiore Institute), Uniklinik Köln, Pathomation BV, Aspect Analytics NV. Hasselt University is the leading partner.
The project is funded by the Interreg Meuse-Rhine (NL-BE-DE) programme, an EU-fund for cross-border cooperation. Our co-financers include Region Wallonne (BE), the Ministry of Economic Affairs (NL) and Land NRW (DE).