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The ELIMINATE-CKD project aims to improve the detection of chronic kidney disease by developing a method to quantify nephron numbers, the kidney's functional units. This innovative approach combines multi-omics and machine learning to enhance early diagnosis and therapeutic strategies for kidney disease.
The objective of ELIMINATE-CKD is to demonstrate that combining measures of kidney structure and function will strongly enhance detection of chronic kidney disease (CKD).
To reach this objective, I will develop a new method to quantify the number of nephrons, the smallest functional units in the kidney.Rationale:- CKD affects ~10% of the global population and causes 2.6 million deaths/year. CKD-associated costs (140 billion euros/year in Europe) exceed diabetes and cancer.
Limitations in CKD det…
UNIVERSITAIR MEDISCH CENTRUM GRONINGEN
ACADEMISCH ZIEKENHUIS GRONINGEN
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