(Photo courtesy of OLIN)
Johns Hopkins researchers made headlines in scholarly journals this month.
Here’s a look at the work:
Personalized Virtual Heart
A 3D model of the heart could help doctors learn more about the ticker before they have to implant anything inside it.
Using MRIs, a team is using digital imaging to test for irregular heartbeat — known in medical parlance as arrhythmia. The Virtual-Heart Arrhythmia Risk Predictor (VARP) could help doctors better determine whether a procedure to insert a small defibrillator that puts the ticker back on beat is necessary.
Led by biomedical engineering professor Natalia Trayanova, the team detailed successful proof-of-concept tests in the journal Nature Communications this week, and is planning wider tests.
Robot’s STAR Surgery Turn
Using robots makes hands-free surgery possible, but getting the programming right is still a work in progress.
A JHU computer scientist was a member of a five-member team that made a recent advance in guiding a robotic surgeon through a soft tissue procedure. The four-year effort culminated with an article in Science Translational Medicine that details the process of suturing two tubular structures. While robot-assisted surgeries are already appearing in operating rooms, the team believes the fully hands-free approach can reduce potential human error.
This Johns Hopkins-made map is tracking the spread of coronavirus
Maryland Quantum Alliance forms to collaborate across sectors
Microsoft is throwing support behind these Hopkins AI and data science startups
Chesapeake Digital Health Exchange aims to spur regional startup growth
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