Predictive analytics: This application, which involves forecasting future opportunities and risks, is the most widely used application of regression analysis in business.

This tool is more than just an academic model, it is a ready-to-deploy decision support system that integrates backend predictive analytics with frontend usability. By offering real-time insights, it ...

According to a new study Creatinine emerged as the most significant factor linked to hyperuricemia in breast cancer patients. It was independently associated with the condition and ...

Ozak AI, a technology platform launched in 2024, is introducing an innovative model for financial intelligence by combining agentic artificial intelligence with ...

Previous methods struggle to incorporate real-time data or account for nonlinear interactions among macroeconomic variables.

Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

A stimulating session on method development in the age of artificial intelligence (AI) and machine learning (ML) was one of the highlights of the morning sessions on Tuesday, June 17, 2025, Day 2 of ...

Objective To explore the association between biological rhythm and internalising disorders among children and adolescents. Design, setting and participants This cross-sectional study used data from ...

Hernandez, R. , Garcia, A. and Guerra, F. (2025) Factors Influencing Graduate Student Success on the Texas Principal Exam in a Predominately Hispanic University. Open Journal of Social Sciences, 13, ...