Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Children in the PNG highlands have among the world's highest burden of OM. Urgent public health action is required, including health worker training, regular ear screening, and strategies to prevent ...

Background Respiratory syncytial virus (RSV) causes substantial winter pressure on adult services. In the UK, RSV vaccination ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...