BME press releases

January 26, 2017

New Peptide Could Improve Treatment for Vision-Threatening Disease

New peptide could double time between injections for patients with eye disease.

December 16, 2016

New Bioinformatics Tool Tests Methods for Finding Mutant Genes That 'Drive' Cancer

Johns Hopkins Research Could Lead to More Precise Ways to Target Tumor Growth

October 25, 2016

Mouse Tests Aim to Show How Genes and Environment Join Forces to Cause Disease

NIH–Funded Research Will Study How Lead Exposure Affects Human

September 12, 2016

Light Tames Lethal Heart Disorders in Mice and Virtual Humans

In Lab Tests, Researchers Halt Arrhythmias With Gentle Beams—Not Harsh Electric Shocks

August 23, 2016

MIT Technology Review Honors Johns Hopkins Engineer as a Top Young Innovator

Muyinatu Bell Mixes Sound, Light and Robotic Technology to Enhance Medical Imaging

July 29, 2016

Students seek to reduce deaths from battlefield injuries that block breathing

CBID undergrad team develops CricSpike tool kit designed to save lives by improving accuracy of cricothyrotomy in emergency situations.

June 23, 2016

Novel controller allows video gamer who lacks hands to compete with his feet

It’s tough to play video games when you have no fingers to push buttons on the controller. But a Johns Hopkins BME grad student design team devised a clever way enable persons with these disabilities to jump back in the game.

June 22, 2016

Pilot study successfully uses DNA sequencing to diagnose brain infections

In a proof-of-principle study, a team of Johns Hopkins physicians and bioinformatics experts which includes Bloomberg Distinguished Professor Steven Salzberg, reports they were able to diagnose or rule out suspected brain infections using so called next-generation genetic sequencing of brain tissue samples.

June 8, 2016

Warren Grayson among recipients of grant for stem cell research

Warren Grayson, associate professor of biomedical engineering, was among 21 researchers at Hopkins to have been awarded the grant. His research will be focusing on volumetric muscle loss.

May 12, 2016

A Personalized Virtual Heart Predicts the Risk of Sudden Cardiac Death

Natalia Trayanova, with her research team, have developed a non-invasive 3-D virtual heart assessment tool to help doctors determine whether a particular patient faces the highest risk of a life-threatening arrhythmia and would benefit most from a defibrillator implant.

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