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Receptors, Interleukin-7

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Construction of enhanced MRI-based radiomics models using machine learning algorithms for non-invasive prediction of IL7R expression in high-grade gliomas and its prognostic value in clinical practice.

Journal of translational medicine 40165301
BACKGROUND: High-grade gliomas are among the most aggressive and deadly brain tumors, highlighting the critical need for improved prognostic markers and predictive models. Recent studies have identified the expression of IL7R as a significant risk fa...
Adult Aged Algorithms Brain Neoplasms Female Glioma Humans Interleukin-7 Receptor alpha Subunit Kaplan-Meier Estimate Machine Learning Magnetic Resonance Imaging Male Middle Aged Multivariate Analysis Neoplasm Grading Prognosis Proportional Hazards Models Radiomics Receptors, Interleukin-7 ROC Curve Support Vector Machine
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