1 Zhejiang Poly Pharm. Co., Ltd., Hangzhou, China 2 Department of Neurosurgery, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China Introduction: Glioblastoma (GBM) ...

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 research team has developed a compact peritoneal dialysis device that can be utilized as a portable artificial kidney. This ...

In real-world scenarios, the distribution of labeled and unlabeled samples is highly imbalanced, only a few labeled samples are available. SEI methods based on consistency regularization (CR) have ...

Below are recordings of the Kidney Pre-Transplant Education Class. You can also view the most updated slides here. The class is split into two videos. Both videos must be watched to receive all of the ...

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 ...

14 Centre for Liver and Gastroenterology research, Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK 15 NIHR Biomedical Research Centre, University of Birmingham and ...

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 ...

Mar. 31, 2025 — Researchers have developed new AI models that can vastly improve accuracy and discovery within protein science. Potentially, the models will assist the medical sciences in ...