Johns Hopkins Medicine scientists say they have found a pattern of so-called epigenetic "marks" in a transition state between ...
Every modeling approach has its own advantages; for example, models with slow disease progression are advantageous because they are more likely to translate to chronic kidney disease in humans, while ...
The following is a summary of “Construction of a machine learning-based interpretable prediction model for acute kidney injury in hospitalized patients,” published in the March 2025 issue of ...
for kidney stones, and 126 (15.1%) developed postoperative systemic inflammatory response syndrome (SIRS). Investigators developed 5 machine learning algorithms to develop a predictive model for ...
A comprehensive list of available chronic kidney disease diagnostic and prognostic models and their limitations is provided, which were not previously accounted for in the low-income and middle-income ...
The coefficient of variation in measurements of spleen volume averaging over 3 sequences was significantly reduced when model-assisted contouring and manual contouring were used. Model-assisted spleen ...
Introduction: The pancreas plays a crucial role in digestion and blood glucose regulation. Current animal models, primarily mice and zebrafish, have limited the exploration of pancreatic biology from ...
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