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A breathalyzer that can test for 17 major and common diseases

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A breathalyzer that can test for 17 major and common diseases



Check this out! Have you ever wished there was a super easy way to detect diseases that affect so many people around the world? What if I told you that there is a new device that analyzes the chemical signature of the gasses that an individual exhales to detect and diagnose diseases!?


Scientists from the Israel Institute of Technology have created technology that is now able to "sniff" out diseases and disorders. During recent trials, this device has been shown to be roughly 86 percent accurate. So how does it work? The researchers explained that they utilize a nano-array which consists of carbon nanotubes and gold particles. This nano-array then isolates chemicals from someone breath. These chemicals are called volatile organic compounds. They did this to 1,404 people and as stated previously was able to have 86 percent accuracy. Once the did the test on an individual, a computer with a trained algorithm was then utilized to recognize signatures of 17 different diseases such as ovarian cancer, kidney failure, multiple sclerosis and so much more.


Essentially it is a disease-sniffing device with artificial intelligence just like a police utilize and train dogs to detect specific compounds. Same process but instead of a brain, it is an algorithm.


This is very exciting for many reasons. I really hope that this becomes widely utilized for at least initial tests since it has 86 percent accuracy currently. This technology should only cost around $30 which would be very helpful for diagnosis purposes. Think about it. Most diagnostic tests that the medical field utilize are expensive, invasive and no always conclusive until you have surgery sometimes. This would revolutionize diagnostic testing is an amazing way. The scientists are hoping to have this on the medical market in about five years.


What do you all think? Is 86 percent accuracy for the initial diagnostic testing fair for trails? How would this affect the medical field?


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