Archived articles

Malone center for engineering in healthcare

Artificial Intelligence
Sepsis-detection AI has the potential to prevent thousands of deaths
Published July 21, 2022
A new system identifies patients at risk for sepsis to aid in the prevention of the illness, which is often difficult to detect and is one of the world's leading causes of death
Responding to an urgent need
Published Aug 30, 2021
When the COVID pandemic began last year, the Malone Center for Engineering in Healthcare's faculty were eager—and more than able—to help
Radiologists use deep learning to find signs of COVID-19 in chest X-rays
Published June 1, 2020
Despite a shortage of available chest X-rays for patients with COVID-19, the team's model correctly identified the infection 89% of the time
New outbreak model better predicts COVID-19 hotspots
Published April 27, 2020
Led by Anton Dahbura, a team of Johns Hopkins researchers have developed a customizable model for tracking and predicting infectious disease outbreaks
Health care engineering
Tool helps identify no-show patients
Published Oct 4, 2018
New tool helps doctors reduce the number of patients who forget or skip their appointments and increase appointment availability
The Malone effect
Published Winter 2017
Malone Professorships support faculty whose work crosses the borders of multiple disciplines, particularly engineering and medicine / Johns Hopkins Magazine
From data to decision
Published Nov 20, 2017
Computer scientist Greg Hager discusses why engineering is so critical to modern medicine
Health care
Value in collaboration
Published Nov 21, 2016
JHU's Malone Center for Engineering in Healthcare symposium brings together experts in biomedical engineering, computer science, health care