• June 17, 2020
• COVID-19

Malone faculty discuss the notable absence of AI-based clinical decision support (CDS) in the early phases of the COVID-19 pandemic, and identify opportunities to improve "AI readiness" for future healthcare challenges.

• May 29, 2020
• COVID-19

Johns Hopkins radiologists have found that a deep learning algorithm to detect tuberculosis (TB) in chest X-rays could be useful for identifying lung abnormalities related to COVID-19.

• May 12, 2020
• COVID-19Systems Modeling and Optimization

Johns Hopkins mechanical engineers believe fluid dynamics can tell us a great deal about the COVID-19 pandemic—and how people can protect themselves when the country reopens.

• May 1, 2020
• COVID-19

A new study by researchers from Johns Hopkins, the University of Oxford, and the University of California, San Diego, examines Americans’ Google searches to track the rising public demand for these unproven drugs soon after these high-profile endorsements.

• April 27, 2020
• COVID-19Systems Modeling and Optimization

Team led by Malone researchers is developing a new model that more accurately understands and predicts the spread of diseases such as COVID-19 in both large and small communities.

• April 20, 2020
• COVID-19Machine Learning and Artificial Intelligence

As the coronavirus pandemic brings floods of people to hospital emergency rooms around the world, physicians are struggling to triage patients,...