When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

Abstract: The potential of wave energy as a renewable energy source is significant, and therefore the development of accurate methods for predicting power output from Wave Energy Converters (WECs) is ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

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

Disinfecting drinking water prevents the spread of deadly waterborne diseases by killing infectious agents such as bacteria, ...

Predictive orchestration is replacing siloed planning models. AI-powered control towers now integrate procurement, ...

Abstract: Motivation plays a significant role in shaping students’ educational outcomes. Understanding the factors that influence student motivation is crucial for enhancing academic performance and ...

In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual ...

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