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Nomogram built based on machine learning to predict recurrence in early-stage hepatocellular carcinoma patients treated with ablation

Introduction: To analyze the risk factors affecting recurrence in early-stage hepatocellular carcinoma (HCC) patients treated with ablation and then establish a nomogram to provide a clear and accessible representation of the patients’ recurrence risk. Methods: Collect demographic and clinical data of 898 early-stage HCC patients who underwent ablation treatment at

Serum Levels of Neurotensin, Pannexin-1, and Sestrin-2 and the Correlations with Sleep Quality or/and Cognitive Function in the Patients with Chronic Insomnia Disorder

Objectives: To examine serum concentrations of neurotensin, pannexin-1 and sestrin-2, and their correlations with subjective and objective sleep quality and cognitive function in the patients with chronic insomnia disorder (CID).Methods: Sixty-five CID patients were enrolled continuously and fifty-six good sleepers in the same period were served as healthy controls

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