Development and validation of interpretable machine learning model for pre-treatment predicting the response to targeted and immune therapy in hepatocellular carcinoma
关键词：Hepatocellular carcinoma; Targeted therapy; Immune therapy; Machine learning; Prognosis prediction
基于还原型氧化石墨烯（rGO）联合双链特异性核酸酶（DSN）的荧光分析法检测微小RNA-451a（miR-451a）
关键词：双链特异性核酸酶；荧光成像；微小RNA-451a；还原型氧化石墨烯
Development and validation a novel model based on radiogenomics and deep learning techniques for predicting staging in epithelial ovarian cancer
关键词：Epithelial ovarian cancer, CT, Radiomics, Deep learning, Stage
基于GluCEST和3D-SPACE的极低出生体重早产儿的海马体发育研究
关键词：GluCEST；早产儿；磁共振；海马体；谷氨酸
An interpretable radiomics-machine learning model for diagnosing invasive fungal infections in community-acquired pneumonia: multicenter study
关键词：Machine learning, Invasive fungal infections, Community-acquired pneumonia, Radiomics, Interpretability.
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