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AI-augmented, Multiscale Image-based Diagnostics of Chronic Kidney Disease

Project description

Advanced image-based diagnostics for chronic kidney disease patients

Chronic kidney disease (CKD) affects 10 % of the global population and represents a major cause of death. It poses a severe societal and healthcare burden. Due to the lack of reproducible approaches specifically reflecting intrarenal pathological processes and disease activity, CKD patients have the least translational randomised clinical trials and limited treatment options. The EU-funded AIM.imaging.CKD project will develop, validate and integrate image-based diagnostics for CKD. The integration of interdisciplinary expertise will allow establishing a multiscale method from nano- to micro- to macromorphological and molecular diagnostics. The project will develop augmented full-spectrum ultrastructural and histological renal biopsy diagnostics based on artificial intelligence, mainly machine and deep learning.

Host institution

UNIVERSITAETSKLINIKUM AACHEN
Net EU contribution
€ 1 999 375,00
Address
Pauwelsstrasse 30
52074 Aachen
Germany

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Region
Nordrhein-Westfalen Köln Städteregion Aachen
Activity type
Higher or Secondary Education Establishments
Other funding
€ 1 999 375,00

Beneficiaries (1)

UNIVERSITAETSKLINIKUM AACHEN
Germany
Net EU contribution
€ 1 999 375,00
Address
Pauwelsstrasse 30
52074 Aachen

See on map

Region
Nordrhein-Westfalen Köln Städteregion Aachen
Activity type
Higher or Secondary Education Establishments
Other funding
€ 1 999 375,00