This important study provides evidence for dynamic coupling between translation initiation and elongation that can help maintain low ribosome density and translational homeostasis. The authors combine ...

The ability to anticipate glucose changes before they happen is one of ML’s biggest contributions to CGM. Predictive models ...

BACKGROUND: Abdominal aortic aneurysm (AAA) is a life-threatening vascular disease with no effective pharmacological treatments. The causal role of triglycerides (TGs) in AAA development remains ...

Supervised learning is a machine learning approach in which algorithms are trained on labelled datasets—that is, data that already includes the correct outputs or classifications. The model learns to ...

Researchers discovered a significant negative correlation between an individual's oxidative balance score and systemic immune ...

Frequent and permanent night shift work is associated with increased lung cancer risk with smoking being a significant factor.

Central bankers generally use the «Taylor rule» to guide their policy decisions, raising rates when inflation is above target ...

Background Cancer survivors have an increased risk of heart failure, but this is balanced by the risk of death from other ...

Researchers identified specific regions of the human spinal cord where neural activity directly correlates with bladder ...

The main reason to use Python is that you get a lot more options than what's included in most spreadsheets. Spreadsheets are ...

Cysts are cavities in tissue that can occur in various areas of the body. In the jaws they represent a common clinical issue ...

This blog explores new findings that highlight which components of the model are most effective in reducing depression ...