Researchers from the personalized Cardiology Institute of Sechenov learned to determine the severity of cystic fibrosis and other lung diseases with exhausted air. The first Moscow State Medical University was told about this “Gazeta.ru”. Sechenov.
Sibassosidosis is an hereditary disease in which exocrine glands are affected and vital organs and systems are affected: respiratory tract, gastrointestinal tract, pancreas, liver and others.
Scientists were able to identify characteristic volatile organic compounds associated with cystic fibrosis, and developed machine learning algorithms that could determine the severity of the disease. In the future, this approach can be used to diagnose many other diseases.
“Inspection of tired air with a real -time mass spectrometer can become an effective tool for the early diagnosis of lung diseases. Models and algorithms developed within the framework of the project will help doctors not only define pathologies, but also to evaluate the degree of seriousness of the personalized Cardiology Institute.
In addition, the proton mass spectrometry of exhausted air may not only be a means of a diagnostic, but also the method of monitoring the effectiveness of therapeutic interventions in chronic lung diseases.
In addition to cystic fibrosis, scientists also investigate other chronic diseases of the respiratory system such as lymphangioomomomomatosis, chronic obstructive pulmonary disease and bronchial asthma. Studies on oncology and cardiology are continuing. Endocrinology, gastroenterology and rheumatology, where changes in metabolism can also be reflected in the composition of exhausted air, may be promising areas for using the method.
In order to introduce the method to clinical application, it is necessary to evaluate safety and efficiency and create the production and distribution of cheap equipment with partners. According to scientists, with the support of the relevant departments, it may take about five years to introduce technology into medical institutions.
A doctor before saidThis constant fatigue may show anemia, diabetes and hypothyroidism.
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Source: Gazeta
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