University of Queensland researchers have used machine learning to help predict the risk of secondary bacterial infections in hospitalized COVID-19 patients. The machine learning technique can help ...

Two graduates of the Data Science Institute (DSI) at Columbia University are using computational design to quickly discover treatments for the coronavirus. Andrew Satz and Brett Averso are chief ...

Data scientists and epidemiologists are working together to develop a tool that will forecast the number of patients who will contract the novel coronavirus using big data, machine learning and other ...

In the US, COVID-19 has killed more than 1.1 million people, infected more than 100 million, and disrupted lives in ways we are still trying to understand. Our continued public health response to this ...

In-depth analysis uncovers north-south oscillations in COVID-19 cases, revealing how regional waves shape the pandemic across the U.S. and providing key insights for future health interventions. Study ...

Colleen McClain, Olivia Sidoti and Monica Anderson contributed to this chapter. For many Americans, life in the early days of COVID-19 was lived on screens. Schools pivoted to virtual learning and ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...