LCGC International spoke to Paul-Albert Schneide and Oskar Munk Kronik about the development and application of a novel ...

How can we improve the prediction of systemic risks in financial and economic crises? A new research project is developing innovative Bayesian ...

Mass General Brigham researchers have developed an AI tool that analyzes brain wave activity recorded during sleep using ...

Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data ... Here the authors train multivariate logistic regression ...

A stratified demographics analysis of video visit telemetry data reveals that age older than 65 years and African American/Black race are associated with higher video visit failure rates, whereas ...

IIT Palakkad study shows how different indices used to predict drought combined with effects fof climate change can lead to ...

This study is designed to combine the use of 3D imaging and machine learning techniques in ... LDA is a multivariate statistical technique widely used in machine learning of large-scale, ...

Reading comprehension is a critical skill that shapes students’ academic success, yet traditional assessment methods often ...

This article will explore the topic of forex analysis, showcasing the top market analysis techniques for making ... strategies to interpret financial data, helping traders understand where prices ...

Stroke is a leading cause of death and disability worldwide, making early diagnosis and intervention critical. In a recent ...

Multivariate analysis identified elevated D-dimer levels (>750 ng/ml) and reduced serum albumin as independent risk factors ...

Biological techniques are methods or procedures that ... DNA nanostructure tagging and machine learning-enabled signal analysis. A positron emission tomography tracer of reactive oxygen and ...