为解决低出生体重 (LBW)这一全球性健康挑战，印度Manipal高等教育学院的研究团队开展了一项前瞻性研究，通过整合19项临床特征和三种可解释人工智能 (XAI)技术，开发了准确率达77%的AdaBoost预测模型。研究发现母体身高、颈项透明层厚度 (NT)、糖化血红蛋白 (HbA1c)等是关键预测因子，为临床早期干预提供了量化工具。

NOUAKCHOTT, July 19 (Xinhua) -- As China and Mauritania celebrated the 60th anniversary of diplomatic ties, Mauritanian officials and scholars have hailed their enduring friendship and growing ...

Almost two million married couples in the UK try to keep their finances secret from their partner. Take Away English talks about relationships and money.