DOCTORS MAY SOON DIAGNOSE GASTRIC DISORDERS BY ANALYSING BREATH PATTERNS

Doctors will now be able to diagnose various gastric disorders simply by checking breath patterns. 

A newly-developed non-invasive method of recognising breath patterns can provide just a one-step process of diagnosis and classification of disorders like dyspepsia, gastritis and gastroesophageal reflux disease (GERD). 

The pattern-recognition based clustering approach was used by Prof. Manik Pradhan and his research team at S. N. Bose National Centre for Basic Sciences, Kolkata, under the Department of Science and Technology (DST), Government of India. 

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This approach can selectively distinguish the breath of peptic ulcers and other gastric conditions from that of healthy individuals.

The team used machine learning (ML) protocol to extract the correct information from the large complex breathomics data sets generated from exhaled breath analysis. 

The findings have been published in European Journal of mass spectroscopy. The study implemented the clustering approach to recognise unique breath patterns, breathograms and "breathprints" patterns. 

The scientists even developed a  prototype device called Pyro-Breath. 

The fundamental concept behind the idea was based on the fact that the overall effect of the compounds produced endogenously by various biochemical reactions and intracellular/extracellular processes associated with the pathogenesis of various gastric phenotypes is reflected in the specific masses of the breathprints. 

Hence, the method identifies molecular species in exhaled breath for diagnosis and classification of peptic ulcer.

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Currently, peptic ulcer disease is an important medical-social problem, caused by helicobacter pylori bacterial infection. Conventional painful and invasive endoscopic procedures make it complicated for the timely diagnosed and screening of this disorder. 

Besides this, the conventional endoscopic methodology is not suitable for screening of the general population. This is why many common people with complex gastric phenotypes remain undiagnosed. 

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2023-06-08T11:47:31Z dg43tfdfdgfd