Heart failure classification using deep learning to extract spatiotemporal features from ECG.

Background: Heart failure is a syndrome with complex clinical manifestations. Due to increasing population aging, heart failure has become a major medical problem worldwide. In this study, we used the MIMIC-III public database to extract the temporal and spatial characteristics of electrocardiogram (ECG) signals from patients with heart failure.

Circulating microRNAs as biomarkers for severe coronary artery disease.

Coronary artery disease (CAD) is the second leading cause of death after stroke in China. Percutaneous coronary intervention (PCI) significantly improves the prognosis of CAD patients. This study aimed to evaluate the diagnostic value of circulating microRNAs (miRNAs) in patients with severe CAD requiring PCI.

Combination of serum lipids and cancer antigens as a novel marker for colon cancer diagnosis.

Background: Colon cancer is a malignancy of the large intestine with high mortality and economic burden. Recent studies reveal a new relationship between blood lipids and the risk of cancer. The presents study aims to investigate the combination of serum lipids with cancer antigens as a novel diagnostic marker for colon cancer.