New TMS biomarkers combined with machine learning accurately classified major depressive disorder. Learn more about this ...

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Objective: To evaluate and to compare machine learning models for predicting hypertension in patients with diabetes using routine clinical variables. Methods: Using Behavioral Risk Factor Surveillance ...

APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering ...

During an interview with Fox Business, Saylor stated that as long as Bitcoin increases by 1.25% annually, Strategy can maintain its dividend payments indefinitely and boost shareholder value. “If ...

Apple Inc. (NASDAQ:AAPL) is drastically cutting iPhone Air production orders but boosting those for other flagship iPhone 17 models amid strong demand, according to a report published on Wednesday.

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...

ABSTRACT: Atrial fibrillation (AF) is a leading cardiac arrhythmia associated with elevated mortality risk, particularly in low-resource settings where early risk stratification remains challenging.

Introduction: Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as ...