Background: Sex determination from the bones is of great importance for forensic medicine and anthropology. The mandible is highly valued because it is the strongest, largest and most dimorphic bone in the skull.
Aim: Our aim in this study is gender estimation with morphometric measurements taken from mandibular lingula, an important structure on the mandible, by using machine learning algorithms and artificial neural networks.
Sex estimation is leading to determine the biological profile in forensic medicine. The aim of this study is to research the effectiveness of logistic regression (LogR) and discriminant function analysis (DFA) to create sex estimation models on femur images obtained with Computed Tomography (CT) angiography and to address the differences of femur, which show sexual dimorphism, among populations. All parameters were measured on three planes by adjusting the 300 CT angiography images from 150 women and 150 men that focused on the left femur to the orthogonal plane with standard magnification.
View Article and Find Full Text PDFBackground: Determination of bone age is a critical issue for forensics, surgery, and basic sciences.
Aim: This study aims to estimate age with high accuracy and precision using Machine Learning (ML) algorithms with parameters obtained from calcaneus x-ray images of healthy individuals.
Method: The study was carried out by retrospectively examining the foot X-ray images of 341 people aged 18-65 years.
The bile salt hydrolase (BSH) activity is responsible for the cholesterol-lowering effect of the probiotic strains. The present study aimed to investigate the relationship between bsh gene-expression (GE) levels responsible for the BSH activity and the parameters of bile salt resistance of different Lactobacillaceae species. Accordingly, 11 Lactobacillaceae family strains with high cholesterol assimilation ratio (49.
View Article and Find Full Text PDFBackground: This study aimed to evaluate the congenital anomalies of ribs in the Turkish population using multi-detector computed tomography (CT) and to reveal the prevalence and distribution of these anomalies according to sexes and body sides.
Materials And Methods: This study included 1120 individuals (592 male, 528 female) over 18 who presented to our hospital with a suspicion of COVID-19 and who had thoracic CT. Anomalies such as a bifid rib, cervical rib, fused rib, Srb anomaly, foramen rib, hypoplastic rib, absent rib, supernumerary rib, pectus carinatum, and pectus excavatum, which were previously defined in the literature, were examined.