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AI-powered pathological cancer diagnostics

Project description

Artificial intelligence in cancer diagnosis

As the number of cancer cases worldwide increases, there is a pressing need for prompt and accurate cancer diagnosis. Existing approaches are time-consuming and depend heavily on the knowledge and experience of trained pathologists. To overcome these limitations, the EU-funded AIPACA project aims to develop an artificial intelligence-based software capable of analysing biopsy slides within seconds to identify tumour regions and quantify tumour biomarkers. The software is expected to significantly reduce biopsy processing time and assist diagnosis through deep learning features. Moreover, it will minimise variations in diagnosis, offering a robust and reliable clinical tool.

Call for proposal


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Net EU contribution
€ 1 372 378,00
Zirkusweg 2
20359 Hamburg

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Hamburg Hamburg Hamburg
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 1 372 378,00