Analysis of the metabolic profile of human respiration was conducted to identify specific biomarker molecules.

Abstract

Various socially significant diseases can cause significant harm to both society and the state, leading to a high incidence rate, impaired quality of life, and hindered societal adaptation for individuals. The demand for effective treatments for chronic conditions like cardiovascular disease, diabetes, cancer, schizophrenia, and obesity necessitates a departure from the traditional one-size-fits-all approach. Instead, there is an increasing recognition of the importance of developing patient-centered diagnosis and treatment strategies. Central to this paradigm shift is the understanding that each individual is genetically and biologically unique. Developing a patient-centered approach requires the systematic organization of clinical data by linking quantitative and/or qualitative analysis of biomarkers, or a combination of the two. This study showcases the latest findings pertaining to the identification of statistical relationships between metabolite profiles, other volatile organic compounds (VOCs), and human health.

Speaker

Olga A. Nebritova
Bauman Moscow State Technical University, Moscow, Russia
Russia

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