<p class="jove_content">This study evaluates ARHGAP22 expression in clear cell renal cell carcinoma and its associations with prognosis, clinicopathological features, the tumor immune microenvironment, and computationally predicted drug sensitivity.</p>

arhgap22-as-potential-prognostic-biomarker-clear-cell-renal-cell

ARHGAP22 as a Potential Prognostic Biomarker in Clear Cell Renal Cell Carcinoma: Insights into Tumor Immunity and Co-Expression Networks

Clear cell renal cell carcinoma (ccRCC) is the most common subtype of kidney cancer and is characterized by substantial clinical heterogeneity, ...

<p class="jove_content">An exploratory machine-learning (ML) framework using perioperative data was evaluated to predict contrast-induced encephalopathy (CIE) after neurointerventional procedures. The Naive Bayes model showed the most balanced descriptive performance, and contrast-to-eGFR ratio (CGR) was identified as an important candidate predictor for individualized risk assessment.</p>

machine-learning-prediction-contrast-induced-encephalopathy-after

Machine-Learning Prediction of Contrast-Induced Encephalopathy After Neurointerventional Procedures

CIE is a rare yet severe complication following neurointerventional procedures, for which reliable noninvasive predictive tools remain lacking. This study ...

Institution - The First Affiliated Hospital of Jinzhou Medical University

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