[Forensic medical assessment of venous thromboembolic complications of mechanical injury of the lower limb after surgery].

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.

Age Classification in Forensic Medicine Using Machine Learning Techniques.

Unlabelled: 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.

[Morphofunctional characteristics of the heart in sudden death of children under 1 year of age in the forensic medical aspect].

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.