In: COVID-19

A screencap of news coverage titled "Search for Solutions: Robots give high-tech help to essential workers, Johns Hopkins." A mannequin is set up in a hospital bed.

Robots now on the front lines in battle against COVID-19, NBC Nightly News

John C. Malone Professor Russell Taylor was featured in an NBC Nightly News story on robots that are helping frontline workers during the COVID-19 pandemic.

An illustration of a smartphone showing a doctor with a file. A stethoscope "listens" to the phone.

In a world of social distancing, telemedicine is king

Phillip Phan, a professor of strategy and entrepreneurship at the Carey Business School and member of the Malone Center, discusses the promising developments in telemedicine that may have been sped up by the onset of the coronavirus pandemic

Wooden blocks form the shape of the human brain in front of a teal background.

With a little help from AI

In a new course offered by computer scientist Mathias Unberath, engineering students design AI systems that integrate seamlessly into human lives.

Red, gray, and yellow coronavirus molecules.

New research confirms higher rates of new coronavirus in Latinx populations

A study of testing results across Johns Hopkins Medicine testing sites highlights coronavirus racial disparities in the Baltimore-Washington area.

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.