[Forensic medical assessment of venous thromboembolic complications of mechanical injury of the lower limb after surgery]. / Sudebno-meditsinskaya otsenka venoznykh tromboembolicheskikh oslozhnenii mekhanicheskoi travmy nizhnei konechnosti posle operativnogo vmeshatel'stva.

In forensic medical practice, venous thromboembolic complications (VTEC) are relatively rare, due to hereditary and acquired factors. The issue of expert evaluation of the VTEC after the performed surgical intervention as an alleged defect in medical care causes discussion. The purpose of this publication is to demonstrate an expert case in the assessment of VTEC mechanical injury of the lower limb after surgery. The above case with the development of PATE after surgery clearly demonstrates the possibility of the appearance of a «medical case¼. The key to the correct expert assessment of the alleged defect of medical care during the forensic medical examination is not only a thorough and scrupulous study of medical documentation, but also a qualitatively performed forensic medical examination of the corpse.

Age Classification in Forensic Medicine Using Machine Learning Techniques.

The aim of the study was to assess the capabilities of age determination (age group) at death using classification techniques by histomorphometric characteristics of osseous and cartilaginous tissue aging. Materials and Methods: The study material was a database containing the findings of morphometric researches of osseous and cartilaginous tissue histologic specimens from 294 categorized male corpses aged 10-93 years. For data analysis and classification we used modern machine learning methods: k-NN, SVM, logistic regression, CatBoost, SGD, naive Bayes, random forest, nonlinear dimensionality reduction methods (t-SNE and uMAP), and recursive feature elimination for feature selection. Results: The used techniques (algorithms) provided effective representation of a complex data set (76 histomorphometric features), allowing to reveal the cluster structure inside the low dimensional feature space, thus fitting the classifier becomes even more reasonable. During feature selection, we estimated their importance for age group classification and studied the relationship between classification quality and the number of features inside the feature space. Data pre-processing made it possible to get rid of noise and keep most informative features, thereby accelerating a learning process and improving the classification quality. Data projection showed more well-defined cluster structure in the space of selected features. The accuracy of establishing certain groups was equal to 90%. It proves high efficiency of machine learning techniques used for forensic age diagnostics based on histomorphometric findings.

[Morphofunctional characteristics of the heart in sudden death of children under 1 year of age in the forensic medical aspect]. / Morfofunktsional'naya kharakteristika serdtsa pri vnezapnoi smerti detei do 1 goda v sudebno-meditsinskom aspekte.

The aim of this study is to describe the morphological and functional characteristics of the cardiac in sudden infants death syndrome (SIDS) in children under one year of age. Twenty eight cases of SIDS were studied histologically and immunohistochemically. Histological examination of the sectional material was carried out using standard and additional stains. The study of cardiac muscle tissue with routine staining with haematoxylin-eosin revealed interstitial oedema, uneven plethora of blood vessels: dystonia and weak plethora of part of the coronary arteries, excess of red blood cells in the veins as well as microcirculatory plethora with stasis of the erythrocytes. An immunohistochemical study revealed a mild over expression of p53 in cellular elements, small-focal expression of CD68 in cardiomyocytes apoptosis intramural areas, activation of mast cells (CD117), expression of ki-67 in macrophages, proliferation of fibroblasts. Additional forensic criteria for the diagnosis of SIDS were determined in the form of atrial endocardial fibrosis and interventricular septum; the expression of CD68, CD117 in fibroblasts, mast cells and lymphocytes; apoptosis of cardiomyocytes (expression of p53), proliferation of fibroblasts and remodeling of the heart (expression of ki-67).