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The pandemic of coronavirus infection COVID-19 (Coronavirus Disease 2019), caused by a new strain of coronavirus SARSCoV-2 (severe acute respiratory syndrome coronavirus 2), has caused high mortality worldwide. The clinical manifestations of COVID-19 are nonspecific. Diagnostics includes clinical, laboratory and radiological data. The importance of introducing information systems into medical practice in order to improve the quality of medical care is noted. It is stated that the development of medical artificial intelligence is associated with the development of artificial intelligence programs designed to help the clinic in making a diagnosis, prescribing treatment, as well as predicting the outcome of the disease. Such systems include artificial neural networks, fuzzy expert systems, and hybrid intelligent systems. The article analyzes data from a number of studies on the use of artificial intelligence for diagnosing COVID-19, predicting the risk of mortality and studying risk factors for severe course and lethal outcome in various groups. Using clusters of predictors, models have been developed to predict mortality and understand the relationship of various characteristics and diseases with mortality from COVID-19. The article also summarizes the key factors that worsen the prognosis for COVID-19. Scales for detecting or predicting the development of COVID-19-induced “cytokine storm” are marked as a separate item.

Given a persistent global trend towards an increase in the number of patients with bronchial asthma (BA) over the past decades, researchers are facing challenges related to a comprehensive study of the pathogenesis of BA. Numerous studies have shown that BA is associated with long-term persistence of leukocytes (lymphocytes, macrophages, and eosinophils) in the bronchial tissues. However, the causes of this phenomenon remain understudied. The article provides an overview of modern research on the mechanisms of disorders of lymphocyte apoptosis in patients with BA.Our study considers the main mechanisms of molecular regulation of lymphocyte apoptosis, including transcription factors, the Fas/FasL system, and bcl-2/bcl-XL factors. We present the data on the role of reduced lymphocyte apoptosis in the formation of a severe BA phenotype. Taking into account high prevalence of obesity among patients with BA, we analyzed a few existing articles on the apoptosis of immunocompetent cells in obesity. In addition, the article highlights the key mechanisms of development of lymphocyte plasma membrane blebbing (PMB) with formation of microvesicles, as well as their influence on the course of pathological processes in BA. The authors believe that further in-depth study of apoptosis, lymphocyte necrosis, and plasma membrane blebbing can help improve the principles of diagnosis and treatment of BA.