A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...

A new study published in the journal of BMC Nephrology revealed that a U-shaped link between high stress hyperglycemia ratio ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

In this retrospective cohort analysis, researchers aimed to identify key predictors of trial enrollment among cancer patients.

Engaging System 2 requires significant metabolic energy. Your brain consumes a lot of your body’s energy as it is; intense mental concentration burns even more. Because of this, humans are “cognitive ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Barry S. Honig  The bulk materials industry is undergoing a significant technological transformation. Organizations across ...

Navan is a relatively new IPO that is successfully disrupting the travel booking and management space. Learn more about NAVN ...