Headline November 11, 2016/ ''' SWEATING : *ARTIFICIAL INTELLIGENCE* '''



**VICTOR & VANQUISHED**  :  And  to  the victor goes all the spoils.

On behalf of The World Students Society, I have the singular honour to extend to: President elect, Mr. Donald J trump, our sincere best wishes and hopes for the people of America, and for peoples of the world.

!WOW!   -the World Students Society desires,  and even expects,  to work closely with  President Trump,  - to help build a better World.  A World based on human dignity, peace, justice and prosperity, for all: 

President Trump, Sir : The real objective before you and !WOW!,  is not only to make America Great but to make the entire World Great 

Therefore, Mr President, please allow me to convey to you the assurances of our highest considerations.

PEOPLE ARE BORN with up to 4 million sweat glands to provide a natural way to regulate temperature. The evaporation of perspiration cools you down.

As sweat is produced it also picks up a lot of information about how the body is behaving, in the form of  ''biomarkers'' : electrolytes, sugar, amino acids, proteins, hormones, and many other molecules that are the products of metabolism.

*If the tiny traces of these substances are can be detected and measured, then it should be possible to monitor a person's health from his sweat*
One of the biggest uses may be to monitor blood-sugar levels in people with diabetes.

And while I return to the diabetes and stats at the end of this writing,suffice to say here, and now :  that how Artificial Intelligence sweats the big stuff on this would make a great challenge.   

BENJAMIN GRAHAM, A STATISTICIAN AT the University of Warwick, in Britain, was able to come up with an algorithm that agreed with a doctor's opinion 85% of the time.

That offers a big advantage. An algorithm is cheaper than a doctor [training a new one is matter of copying it to another computer].

They are quicker, too obviating the need to wait for images to be sent to lab. An instant diagnosis may help sufferers begin treatment, says Mr. Teo

Many of the CHCF's  patients are poor, find it difficult to take time off work, and may struggle to attend a follow-up meeting. And there may be other advantages.

*Jorge Cuadros,a researcher at the University of California, Berkeley, who has been working with CHCF, jokes that there is anecdotal evidence that some patients may even take a machine's judgment more seriously than that of a human doctor*.

Eventually, the CHCF wants to deploy the open-source algorithm, in clinics throughout California. For now, though, it is being held by a mix of caution and regulation.

''You get a similar problem as you get with driverless cars,'' says Dr. Cuadros. ''Who's going to take on the liability [if something goes wrong]?'' There are regulatory issues, too: the Food and Drug Administration.

America's medical regulators's only recently decided it need a way to approve Artificial Intelligence  applications, says Sophia Chang of the CHCF.

The plan for the moment is to use the computer only to determine whether a  retinal photography has been properly taken [it is a fiddly job].

But the caution is unlikely to last. Although Artificial Intelligence has been
one of those fields in which promises often fail to match up to reality and using a computer to analyse medical images is not new, deep-learning algorithms seem to have solved many of the problems that plagued earlier approaches.

''We've been able to watch the spread of deep learning on Kaggle,'' says Mr Goldbloom: ''It's crushing every image-recognition contest we run.''

Startups such as  Enlitic,  which wants to analyse all kinds of  medical images with computers, have been springing up.      
In August IBM spent $1 billion buying Merge, a medical-imaging company; the idea is to use Merge's database to teach IBM's computers.

The better computer-aided medicine becomes, the greater the pressure will become to move it out of the lab and into the clinic.

To sum, The World Health Organization says diabetes affected 387 million adults worldwide in 2014 and expects that numbers to exceed 590 million by 2035. 

Sufferers are likely to require two or three times as much health-care spending as healthy individuals.

Since this burden could be greatly alleviated by prevention and monitoring, it is a problem that research scientists must begin thinking about.

With respectful dedication to Mr. Donald J Trump, President elect of the United States of America and to the People, Students, Professors, Teachers of America. 

See Ya all on !WOW!  -the World Students Society and Twitter-!E-WOW!  -the Ecosystem 2011:

''' Building A New World '''

Good Night and God Bless

SAM Daily Times - the Voice of the Voiceless


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