By: Catherine Graham

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Headshot of Jeremy Brown.

Jeremy D. Brown named Sloan Research Fellow

Jeremy D. Brown is among 118 Sloan Research Fellows honored for their exceptional early-career science research.

The STAR system robot.

Robot performs first laparoscopic surgery without human help

In four experiments on pig tissues, the robot excelled at suturing two ends of intestine—one of the most intricate and delicate tasks in abdominal surgery.

A circular puzzle depicting a young doctor attending to an older adult and a glowing brain. There are puzzle pieces missing, revealing other medical stock imagery.

New $20 million grant will help Johns Hopkins develop technologies for healthy aging

Multicenter collaboration will focus on the use of artificial intelligence to improve long-term health, independence for older people.

Seed grant awards. Johns Hopkins Malone Center for Engineering in Healthcare. Overlaid over Malone Hall.

Announcing new Seed Grant Awards

The new grants will fund engineering innovations that aim to: introduce next generation assistive robots for children with autism spectrum disorder; advance shared-control strategies for skills assessment in robotic surgery; a develop artificial-intelligence based tools to evaluate therapies for vascular anomalies

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.

Computer-assisted auscultation proves effective at detecting early-stage heart disease

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.

A blue and white transparent rendering of the human brain.

A new approach to mapping the brain could make surgery safer

Doctoral student Naresh Nandakumar is developing a painless, non-invasive approach using functional magnetic resonance imaging, or fMRI, to locate the eloquent cortex.