AIMC Topic: Interleukin-7 Receptor alpha Subunit

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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 Mar 31, 2025
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...
Humans Machine Learning Algorithms Prognosis Female Aged Adult Radiomics Brain Neoplasms Male Middle Aged ROC Curve Glioma Support Vector Machine Magnetic Resonance Imaging Neoplasm Grading Proportional Hazards Models Multivariate Analysis Kaplan-Meier Estimate Receptors, Interleukin-7 Interleukin-7 Receptor alpha Subunit
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