Objective To externally evaluate the performance of QRISK3 for predicting 10 year risk of cardiovascular disease (CVD) in the UK Biobank cohort. Methods We used data from the UK Biobank, a large-scale ...

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.

Self-supervised learning enables networks to learn discriminative features from massive data itself. Most state-of-the-art methods maximize the similarity between two augmentations of one image based ...

Tariffs are taxes on international trade. Here's everything you need to know about trade barriers and tariffs, why they are used, and their effects on the local economy.

This study focuses on the development of a stacked model, named Cluster Boost, which integrates K-means clustering and Gradient Boosting to analyse customer behaviour in e-commerce. Cluster Boost ...

Here, we present an approach entitled INferring Drug Interactions using chemo‐Genomics and Orthology (INDIGO), which predicts antibiotic combinations that interact synergistically or antagonistically ...