In: COVID-19

A mobile testing booth in a parking lot.

Mobile COVID-19 testing booths keep healthcare providers safe, CBS Baltimore

Researchers from University of Maryland, Johns Hopkins University, and the Robert Fischell Institute for Biomedical Devices have developed a mobile testing booth that will give healthcare providers the ability to test patients for COVID-19 without risking their own health.

Blue lines connected by dots in front of an orange lens flare.

Artificial Intelligence-based Clinical Decision Support for COVID-19 – Where Art Thou?

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.

Two X-rays of the lungs, one in grayscale and one overlaid with rainbow colors centered on the left lung.

Radiologists use deep learning to find signs of COVID-19 in chest x-rays

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.

An illustration of a mask made of lines and dots acting as a shield from smaller dots.

The ill winds of COVID-19

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.

A pill bottle and white pills. The bottle is titled Hydroxychloroquine 200 MG tab.

Public demand for unproven COVID-19 therapies rise after endorsements from high-profile figures

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.

A green and black globe connected by coronavirus molecules.

New outbreak model better predicts COVID-19 hotspots

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.