Selection of the NP-MHH's own projects

Influence of macrophages and their phenotypes on (long-term) organ function after kidney transplantation

(Dr. Werner Jackstädt Foundation; 2016-2019 )

 

Long-term organ function in children after kidney transplantation (LaFuKiNi): Prognostic significance of precise digital morphological immunotyping

(Dr. Robert Nursing Foundation Bamberg; 2019-2020)

 

Establishment of a molecular diagnostic assay for kidney transplants

(Dr. Werner Jackstädt Foundation; 2019)

 

Collaborative project: TraMoKI - Monitoring the immune status of transplanted kidneys with artificial intelligence; Subproject: Development of diagnostic algorithms for biopsies from transplanted kidneys with automated structure recognition

(Federal Ministry of Education and Research; 2019-2022)

 

PräDIkNika - Predictive diagnostic immunotyping for clear cell renal cell carcinoma

(Wilhelm Sander Foundation; 2020-2022)

 

Predictive immune biomarkers in renal cancer: Compare immune landscape of tumors in native and transplanted (immunocompromised) kidneys

(EKFS-DigiStrucMed; 2022-2023)

 

Molecular fingerprints of rejection reactions after kidney transplantation - uncovering pathomechanisms using machine learning

(EKFS-DigiStrucMed; 2024-2025)

 

Establishment of a registry with amyloidosis samples

(MHH plus funding foundation; 2025)

 

Collaborative project: QUADRANT - Quantitative evaluation of tissue samples using three-dimensional X-ray analysis technology

(ERDF - European Regional Development Fund; 2025-2027)

Diseases manifest themselves both in the visible body and at the microscopic level in tissue. However, conventional histological methods only use two-dimensional tissue sections. The interdisciplinary QUADRANT project, a collaboration between Histomography GmbH, Hannover Medical School and the University of Göttingen, aims to develop non-destructive quantitative 3D analyses of larger tissue samples for (bio)medical research and diagnostics. To this end, questions from the fields of developmental biology, regenerative medicine, anatomy and pathology are answered using a 3D X-ray microscope specially developed for kerosene tissue blocks and by morphometric quantification of tissue architecture using 3D image processing and artificial intelligence methods.

 

Digital Pathology for Precision in Renal Diagnostics using Artificial Intelligence (DPP-AI)

(Funding foundation MHH plus; 2025-2026)