In: Uncategorized
![Casey Overby Taylor and Stephanie Hicks.](https://malonecenter.jhu.edu/wp-content/uploads/2023/05/Untitled-design-70-600x400.jpg)
Malone faculty win Johns Hopkins Catalyst Awards
- May 9, 2023
- Uncategorized
Casey Overby Taylor and Stepahnie Hicks were among the thirty-seven faculty members selected across nine academic divisions of Johns Hopkins University.
![Daytime shot of Malone Hall.](https://malonecenter.jhu.edu/wp-content/uploads/2020/01/malone-1024x683-1-600x400.jpg)
Discovery grant opens door for AI-guided treatment options
- November 3, 2022
- Uncategorized
Craig Jones, assistant research professor of computer science, has been awarded a Discovery grant from the Department of Defense. Jones, an...
![Virtual stethoscope recordings from biomechanics simulations (left) can be used to develop an algorithm which can accurately recognize acoustic features of heart sounds from healthy (right; top) and stenotic (right; bottom) aortic valves. This technology can alleviate the diagnostic subjectivity of manual auscultation and enable at-home, inexpensive self-monitoring.](https://malonecenter.jhu.edu/wp-content/uploads/2021/10/Auscultation_combined-600x400.png)
Computer-assisted auscultation proves effective at detecting early-stage heart disease
- October 27, 2021
- Uncategorized
Johns Hopkins mechanical engineers have developed an algorithm that “listens” to heart sound recordings and detects heart disease with an accuracy that is similar to that of expert cardiologists.
![An intubated mouth. Someone in a mask works on a laptop in the background.](https://malonecenter.jhu.edu/wp-content/uploads/2021/09/ventilator_robot2-600x400.jpeg)
Responding to an urgent need
- September 2, 2021
- Uncategorized
When the COVID-19 pandemic began last year, the Malone Center for Engineering in Healthcare's faculty were eager—and more than able—to help.
![An illustration of a blue circuit board.](https://malonecenter.jhu.edu/wp-content/uploads/2021/01/Artificial_intelligence_012221-600x400.jpg)
These Algorithms Look at X-Rays—and Somehow Detect Your Race, WIRED
- August 9, 2021
- Uncategorized
Radiologist Paul Yi, a Malone Center faculty affiliate, was quoted in a WIRED article on a new study showing algorithms can detect race in medical images.
![An illustration of a silhouette of a human head with code and hexagons inside it.](https://malonecenter.jhu.edu/wp-content/uploads/2021/06/Reducing-No-Show-Rates-600x400.jpeg)
Popular Deep Learning course goes beyond the fundamentals
In the popular “Machine Learning: Deep Learning" course created by Mathias Unberath, students team up to design, implement, and validate deep learning-based solutions to contemporary problems.