Remote Analysis of Respiratory Sounds in Patients With COVID-19: Development of Fast Fourier Transform-Based Computer-Assisted Diagnostic Methods.

Background: Respiratory sounds have been recognized as a possible indicator of behavior and health. Computer analysis of these sounds can indicate characteristic sound changes caused by COVID-19 and can be used for diagnostics of this illness.

Objective: The aim of the study is to develop 2 fast, remote computer-assisted diagnostic methods for specific acoustic phenomena associated with COVID-19 based on analysis of respiratory sounds.

Computer-Aided Detection of Respiratory Sounds in Bronchial Asthma Patients Based on Machine Learning Method.

Unlabelled: is to develop a method for detection of pathological respiratory sound, caused by bronchial asthma, with the aid of machine learning techniques.

Materials And Methods: To build and train neural networks, we used the records of respiratory sounds of bronchial asthma patients at different stages of the disease (n=951) aged from several months to 47 years old and healthy volunteers (n=167). The sounds were recorded with calm breathing at four points: at the oral cavity, above the trachea, on the chest (second intercostal space on the right side), and at a point on the back.

[Method of diagnosis of the severity of the disease attack in patients with ulcerative colitis.].

To develop a mathematical model and evaluate its prognostic significance for determining the severity of attack (SA) in patients with ulcerative colitis (UC) on the basis of minimally invasive laboratory inflammatory tests and albumin. The study involved 64 patients (33 men and 31 women) with UC in the stage of active inflammation. The method for diagnosing SA was performed by determining the concentration in the blood of tumor necrosis factor alpha (TNF-α), C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), α2-globulin and albumin.

[The experience in the application of nikavir in the schemes of perinatal chemoprophylactics of HIV infection: evaluation of the immunological and virusological effectiveness.].

Objectives: The goal of this work was to study the immunological and virological efficacy of the domestic antiretroviral drug nicavir (at the optimal dose, as proven by previous clinical studies) with lamivudine, in comparison with other drugs of the group of nucleoside reverse transcriptase inhibitors in combination with kaletra in perinatal HIV chemoprophylaxis regimens.

Methods: 658 pregnant women aged 16-39 years and children born to them were examined. The first group (281 people) and the third group (66 people) received the nicavir (manufactured by AZT PHARMA KB LLC) with lamivudine in combination with calyx; the second (281 people) and the fourth (30 people) of the comparison group, stag and zidovudine, respectively, with lamivudine in combination with calyx.