Nature Biomedical Engineering

Launched in January 2017, Nature Biomedical Engineering publishes original research, reviews and commentary of high significance to the biomedical engineering community, including bench scientists interested in devising materials, methods, technologies or therapies to understand or combat disease; engineers designing or optimizing medical devices and procedures; and clinicians leveraging research outputs in biomedical engineering to assess patient health or deliver therapy across a variety of clinical settings and healthcare contexts.

Publisher
NPG
History
2017-
Website
http://www.nature.com/natbiomedeng/
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Engineering

Monitoring electromagnetic signals in the brain with MRI

Researchers commonly study brain function by monitoring two types of electromagnetism—electric fields and light. However, most methods for measuring these phenomena in the brain are very invasive.

Computer Sciences

Prescience: Helping doctors predict the future

During surgery, anesthesiologists monitor and manage patients to make sure they are safe and breathing well. But these doctors can't always predict when complications will arise.

Engineering

TINY cancer detection device proves effective in Uganda testing

Its name is an acronym used to convey its size, but researchers at Cornell Engineering and Weill Cornell Medicine are hoping their hand-held cancer detection device's impact in the developing world is anything but small.

Engineering

Wearable ultrasound patch monitors blood pressure deep inside body

A new wearable ultrasound patch that non-invasively monitors blood pressure in arteries deep beneath the skin could help people detect cardiovascular problems earlier on and with greater precision. In tests, the patch performed ...

Engineering

MRI 'glove' provides new look at hand anatomy

A new kind of MRI component in the shape of a glove delivers the first clear images of bones, tendons and ligaments moving together, a new study finds.

Engineering

New microchip technology could be used to track 'smart pills'

Researchers at Caltech have developed a prototype miniature medical device that could ultimately be used in "smart pills" to diagnose and treat diseases. A key to the new technology—and what makes it unique among other ...

Engineering

Convolutional neural network able to identify rare eye disorder

(Tech Xplore)—A team of researchers with Sun-Yat-sen University and Xidian University, both in China, has developed a highly accurate convolutional neural network (CNN) system that is capable of recognizing a rare eye disorder ...

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