'Na-Nose Breathalyzer' Can Identify 17 Diseases By Using The Human Breath, What We Need To Know!

By Carrie Winters - 30 Dec '16 05:23AM
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A "breathalyzer" called the "Na-Nose" has been built to detect diseases. It is set to diagnose at least 17 diseases with only using one's breath.

It is reported that Prof. Hossam Haick of Technion-Israel Institute of Technology together with his colleagues built the "Na-Nose breathalyzer." It is intended to diagnose certain diseases with the use of the human breath. This way it only takes lesser time to know what an individual is ill about.

The Na-Nose breathalyzer can detect diseases such as prostate, colorectal, ovarian and lung cancer. It also can detect multiple sclerosis, Crohn's, Parkinson's and the disease of the kidney. Prof. Haick shares that the device is to check possible illnesses at the early stages.

Aside from predicting diseases at their early stages, the "Na-Nose breathalyzer" can also detect those that are at high-risk in acquiring a certain disease. This is much easier to use and has the chances of curing a certain illness before it becomes full blown.

As of this time, researchers need to study more to provide accuracy for the "Na-Nose breathalyzer." It is also noted that researchers need to have more clarity on how the device can detect certain diseases simultaneously.

Meanwhile, the "Na-Nose breathalyzer" device has been used to test 1,400 individual's breath and was found out that it can detect 17 diseases. Prof. Haick has been working on this device for several years. The device can detect the volatile organic compounds on a molecular level by using the artificially intelligent nanoarrays. It smells a person's breath in order to identify the disease.

The "Na-Nose breathalyzer" has been tested with the 86% accuracy level. However, the percentage is not enough for the device to be used globally. Prof. Haick and his team are still working on getting the level of accuracy for the device to be of use. This may be a bridge in the medical world to treat diseases early on.

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