Breathonix Pte Ltd, a spin-off company from the National University of Singapore (NUS), has developed an easy-to-use breath test to detect COVID-19 within a minute. The company develops non-invasive breath tests for disease detection.
How it works.....
Breath analysis technology works by detecting Volatile Organic Compounds (VOCs) present in a person’s exhaled breath. Dr Jia, the CEO of Breathonix explained, "VOCs are consistently produced by various biochemical reactions in human cells. Different diseases cause specific changes to the compounds, resulting in detectable changes in a person’s breath profile. As such, VOCs can be measured as markers for diseases like COVID-19.”
The test is simple to administer. A person only needs to blow into a disposable mouthpiece connected to a high-precision breath sampler. The exhaled breath is collected and fed into a cutting-edge mass spectrometer for measurement. A machine learning software analyses the VOC profile and generates the result in less than a minute.
In a pilot clinical trial involving 180 patients, Breathonix’s breath test, which uses in-built machine learning algorithms, achieved more than 90 per cent accuracy, with sensitivity (i.e. correctly identify those with the disease) of 93 per cent, and specificity (i.e. correctly identify those without the disease) of 95 per cent.
How it works.....
Breath analysis technology works by detecting Volatile Organic Compounds (VOCs) present in a person’s exhaled breath. Dr Jia, the CEO of Breathonix explained, "VOCs are consistently produced by various biochemical reactions in human cells. Different diseases cause specific changes to the compounds, resulting in detectable changes in a person’s breath profile. As such, VOCs can be measured as markers for diseases like COVID-19.”
The test is simple to administer. A person only needs to blow into a disposable mouthpiece connected to a high-precision breath sampler. The exhaled breath is collected and fed into a cutting-edge mass spectrometer for measurement. A machine learning software analyses the VOC profile and generates the result in less than a minute.
In a pilot clinical trial involving 180 patients, Breathonix’s breath test, which uses in-built machine learning algorithms, achieved more than 90 per cent accuracy, with sensitivity (i.e. correctly identify those with the disease) of 93 per cent, and specificity (i.e. correctly identify those without the disease) of 95 per cent.
එළ..දැන් පැය ගනන් රිසල්ට් එනකන් ඉන්ඩ ඕනි නෑ.
