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Synthetic stem cells offer nenefits of natural stem cells without the risk

Wednesday, 1 February 2017 by System Administrator

Canstockphoto17970065

Synthetic stem cells offer benefits of natural stem cells without the risks

Can be applied to multiple stem cell types and to repair of various organ systems

January 13, 2017

 

A synthetic cardiac stem cell (left) mirroring a real cardiac stem cell (right), offering therapeutic benefits without the associated risks (credit: Alice Harvey/NC State University)

Scientists have created the first synthetic version of a cardiac stem cell, offering therapeutic benefits comparable to those from natural stem cells — but without the risks and limitations, according to researchers from North Carolina State University, the University of North Carolina at Chapel Hill, and First Affiliated Hospital of Zhengzhou University in China.

Wearable sensors can alert you when you are getting sick

Wednesday, 1 February 2017 by System Administrator

Canstockphoto22657194

Wearable sensors can alert you when you are getting sick, Stanford study shows

January 18, 2017

 

Current versions of three of the devices used for heart-rate and peripheral capillary oxygen saturation measurements in the study (credits left to right: Scanadu, iHealth, and Masimo)

Fitness monitors and other wearable biosensors can tell when your heart rate, activity, skin temperature, and other measures are abnormal, suggesting possible illness, including the onset of infection, inflammation, and even insulin resistance, according to a study by researchers at the Stanford University School of Medicine.

Basis for machine learning systems revealed

Wednesday, 16 November 2016 by System Administrator

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New MIT technique reveals the basis for machine-learning systems’ hidden decisions

October 31, 2016

A Stanford School of Medicine machine-learning method for automatically analyzing images of cancerous tissues and predicting patient survival was found more accurate than doctors in breast-cancer diagnosis, but doctors still don’t trust this method, say MIT researchers (credit: Science/AAAS)

MIT researchers have developed a method to determine the rationale for predictions by neural networks, which loosely mimic the human brain. Neural networks, such as Google’s Alpha Go program, use a process known as “deep learning” to look for patterns in training data.

 

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