In this article, a Bayesian model for a constrained linear regression problem is studied. The constraints arise naturally in the context of predicting the new crop of apples for the year ahead. We ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

ROP showed a strong link with altered brain structure, revealing early neuroimaging clues to later developmental concerns.

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an RShiny-based machine learning workbench was a game-changer, leading to ...

Explore how AI predictive analytics reshapes industries by providing insights, forecasting trends, and enhancing ...

This is a well-written study that presents a solid genetic screen to identify regulators of adipose morphology and remodeling in zebrafish. The authors generated a rigorous screening platform based on ...

Although remnant cholesterol has been associated with cardiovascular disease, the risk of remnant cholesterol and blood pressure remains unclear. This study aimed to investigate the association ...

Tirzepatide was superior to semaglutide in achieving standard and intensive cardiometabolic targets among patients with type 2 diabetes.

Background Immune-mediated processes leading to childhood type 1 diabetes may begin in fetal life. We hypothesised that a ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...