Chronic and acute kidney diseases impair the function of one of the body’s vital organs. If not diagnosed and managed in an early stage, they can lead to a complete loss of function. To prevent this, there is a need for early, predictive, sensitive, and noninvasive biomarkers to (1) differentiate Acute Kidney Injury (AKI) and Chronic Kidney Disease (CKD) during acute care, and (2) monitor CKD during ambulatory care. While fibrosis is an important mechanism leading to CKD, changes in intrarenal pressure (IRP) are present in both AKI and CKD. Fibrosis increases the tissue’s intrinsic stiffness, while IRP stretches the tissue, increasing its operational stiffness. A method able to measure renal stiffness and decouple intrinsic from operational stiffness can therefore assess both fibrosis and IRP. In this context, we will investigate the potential of ultrasound Shear Wave Elastography (SWE) from an experimental and computational perspective. We plan to develop a multi-physics in silico model of the complex renal shear wave dynamics to understand their relation with renal (patho)physiology. We will then use these insights to solve the inverse problem, i.e., retrieving kidney properties from a SWE analysis, thereby paving the way toward noninvasive evaluation and differentiation of kidney diseases.