npj Digital Medicine

Predicting clinical pathways of traumatic brain injuries (TBIs) through process mining.

An end-to-end multifunctional AI platform for intraoperative diagnosis.

Fine-grained forecasting of COVID-19 trends at the county level in the United States.

Predictive modeling of hemodynamics during viscerosensory neurostimulation via neural computation mechanism in the brainstem.

通过脑干神经计算机制对内脏感觉神经刺激过程中的血流动力学进行预测建模

Mobile application leads to psychological improvement and correlated neuroimmune function change in subjective cognitive decline.

移动应用程序可改善心理状况，并可改善主观认知能力下降相关的神经免疫功能

A clinically interpretable model derived from skin conductance for assessing microangiopathy of the skin surface.

基于皮肤电导率的临床可解释模型，用于评估皮肤表面的微血管病变

Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study

使用稀疏典型相关分析和合作学习进行多模态数据融合：一项 COVID-19 队列研究

Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity.

Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging

针对时间和事件的深度学习用于心脏灌注成像后的个性化风险评估

Weakly supervised deep learning to predict recurrence in low-grade endometrial cancer from multiplexed immunofluorescence images

利用弱监督深度学习从多重免疫荧光图像预测低级别子宫内膜癌的复发