本研究首次开发了基于贝叶斯技术的机器学习模型 Bayes-SHLNM，用于预测上消化道癌的脾门淋巴结转移。该模型在性能上与传统的频率主义逻辑回归模型相当，且能够提供个体病例的后验概率分布，展示预测的不确定性，为临床决策提供了更丰富的信息。

Objectives: To explore the usefulness of spleen radiomics features based on contrast-enhanced computed tomography (CECT) in predicting early and late recurrences of hepatocellular carcinoma (HCC) ...

Here, we study the effects of peritoneal Bacillus Calmette–Guérin (BCG) administration to find TI-mediated protection in the spleen against a subsequent heterologous infection by the Gram-negative ...

Objective: To explore the potential mechanism of YCHD in treating AIH based on changes in the intestinal flora and Th1/Treg ratio in the spleen and hepatic hilar lymph nodes. Methods: The AIH mice ...