Jul 30, 2012

Software Detects Motion that the Human Eye Can't See

A new set of software algorithms can amplify aspects of a video and reveal what is normally undetectable to human eyesight, making it possible to, for example, measure someone's pulse by shooting a video of him and capturing the way blood is flowing across his face.

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Jul 24, 2012

Human Stem Cells Found to Restore Memory

StemCells Inc. announced that its human stem cells restored memory in rodents bred to have an Alzheimer's-like condition—the first evidence that human neural stem cells can improve memory. The company hopes a clinical trial of its proprietary stem cells in rodents will lead to a clinical trial with Alzheimer's patients.


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Diagnosing Parkinson's in a phone call with a computer

Parkinson's affects some 6 million people worldwide. Although surgery and drugs can hold back its progression, there is no cure. Diagnosing it and tracking its course usually relies on an assessment of someone's symptoms using the Unified Parkinson's Disease Rating Scale, which involves tests of motor skills, for example. The process is time-consuming, expensive and requires people to attend a clinic for the tests to be carried out. It is partly because of this that it is thought that around a fifth of cases of Parkinson's are never diagnosed. A speech-processing algorithm could use the sound of your voice to diagnose a range of diseases, and spell the end of invasive physical exams.

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Jul 3, 2012

Brain computer interface for vegetative-state patients

The first real-time brain-scanning speller will allow people in an apparent vegetative state (unable to speak or move) to communicate, according to Maastricht University scientists.

The new technology builds on earlier uses of fMRI (functional magnetic resonance imaging) brain scans by Adrian Owen and colleagues to assess consciousness by enabling patients to answer yes and no questions. fMRI tracks brain activity by measuring blood flow.

“The work led me to wonder whether it might even become possible to use fMRI, mental tasks, and appropriate experimental designs to freely encode thoughts, letter-by-letter, and therewith enable back-and-forth communication in the absence of motor behavior,” said Bettina Sorger of Maastricht University in The Netherlands.

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