Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.

Researchers have developed a new prediction tool that could help clinicians better assess whether complete tumour removal is ...

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

Discover how quality control charts help track product standards, pinpoint issues, and ensure processes meet specifications with this essential tool for quality assurance.

Background Despite anticoagulation, patients with atrial fibrillation (AF) experience persistent elevated cardiovascular risk ...

Artificial intelligence is turning a familiar medical workhorse into a window on one of the most pervasive health threats of modern life: chronic stress. By training deep learning systems on routine ...

Background Multiple long-term conditions (MLTCs) are common among individuals with heart failure (HF); however, the influence ...

Researchers have identified specific coupled patterns of brain activity and gene expression that help explain impulsive behavior in children with attention deficit hyperactivity disorder. By analyzing ...

Objective To characterise the age-related impact of organ damage patterns on health-related quality of life (HRQoL) in ...

As clinical diagnostics become a central force in shaping therapies and driving innovation, healthcare leaders must prepare ...

Looking for AI tools to help with studies and assignments? Here are my picks for the best AI tools for students after testing ...