Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...

As drug development becomes more complex, so do the demands for accurate, reproducible bioanalytical data to prove their safety and efficacy. Method validation ensures the reliability of ...

The authors provide a useful integrated analytical approach to investigating MASLD focused on diverse multiomic integration methods. The strength of evidence for this new resource is solid, as ...

GLP-1 receptor agonists (GLP-1 RAs) are transforming metabolic disease treatment, with analytical chemists playing a critical role in formulation, stability testing, and clinical trial support for ...

Our Mission: The ACS Committee on Analytical Reagents is the only committee in the world dedicated to establishing specifications and developing validated test methods for determining the purity of ...

Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. The application of statistical methods extracts information from ...

A standardized, realistic phantom dataset consisting of ground-truth annotations for six diverse molecular species is provided as a community resource for cryo-electron-tomography algorithm ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Charlene Rhinehart is a CPA , CFE, chair of ...