New data-driven tools give employers an edge in preventing injuries, improving compliance, and optimizing safety protocols before accidents occur.

Energy investment is undergoing a profound transformation as the global transition from fossil fuels to renewable energy accelerates .

Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

As the lines between development, deployment, and defense blur, Generative AI has stepped in, not as an optional accelerant, ...

1. Regression analysis. Regression models are the mainstay of predictive analytics. The linear regression model analyzes the relationship between the response or dependent variable and a set of ...

This study presents an intrinsic capacity clock, using blood samples to predict mortality risk and enhance understanding of ...

A nomogram using ocular hemodynamics and clinical factors accurately predicts ischemic stroke risk, offering a novel tool for ...

In an age where data drives decisions and automation defines excellence, the insurance industry stands at the cusp of ...

Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

Zainab Iyiola, a rising Nigerian researcher in petroleum engineering and data science, is gaining recognition on the global ...