The first step in anthropological study is the positive identification of human remains, which can be a challenging undertaking when bones are broken. When bone pieces from different species are mixed together, it can be crucial to distinguish between them in forensic and archaeological contexts. For years, anthropology and archaeology have employed the histomorphological analysis of bones to evaluate species-specific variations. Based on variations in the dimensions and configuration of Haversian systems between the two groups, these techniques have been devised to distinguish between non-human and human bones. All of those techniques concentrate on a very particular kind of bone, zone, and segment. Histomorphometric techniques make the assumption that there are size, form, and quantity variations between non-humans and humans. The structural components of Haversian bones are significant enough to use discriminant function analysis to separate one from the other. This review proposes a comprehensive literature analysis of the various strategies or techniques available for distinguishing human from non-human bones to demonstrate that histomorphological analysis is the most effective method to be used in the case of inadequate or compromised samples.

This study aimed to evaluate the DSP method’s applicability to Romania’s contemporary population and to assess the accuracy and reliability of variables derived from CT images. A total of 80 pelvic CT scans were analyzed. Participants ranged from 22 to 93 years, with a mean age of 59.51 ± 22.7 years. All variables measured from the CT scans were analyzed using DSP software. The study found that sex estimation was possible in 71.25% of cases overall, with varying rates between males (57.50%) and females (85%). Despite encountering undetermined specimens comprising 42.5% males and 15% females, only one misclassification occurred. Regarding accuracy, the overall rate remained notably high at 98.24%. All female specimens that could be estimated were correctly classified (100% accuracy), while for males, the accuracy rate was 95.65%. Undetermined cases were noted to potentially impact the accuracy of sex classification, underscoring the critical role of precision in forensic contexts. In conclusion, the study highlights the importance of accuracy in forensic sex estimation. It emphasizes the confidence with which DSP software can be utilized, if not the only method, at least as a preliminary or adjuvantly accurate technique for sex estimation in forensic anthropology.

Determining an individual’s sex is crucial in several fields, such as forensic anthropology, archaeology, and medicine. Accurate sex estimation, alongside the estimation of age at death, stature, and ancestry, is of paramount importance for creating a biological profile. This profile helps narrow the potential pool of missing persons and aids identification. Our research focuses on the second cervical vertebra and odontoid process, which is particularly valuable due to their high sexual dimorphism. This brief research is structured as follows: we provide an overview of morphometric analysis of the second cervical vertebra for accurate sex estimation in forensic anthropology. We then delve into a case report to explore sexual dimorphism of the C2 vertebrae. Moreover, we discuss some of these studies that showed a significant correlation between the dimensions of the second cervical vertebrae and height, suggesting that the C2 can be used as a reliable indicator for stature estimation. The high accuracy rate of sex estimation using the second cervical vertebrae suggests that this method is a valuable tool for forensic anthropologists. Its practical application can significantly contribute to identifying and profiling individuals in a forensic context, thereby aiding in the identification process.

DNA analysis plays a crucial role in forensic investigations, helping in criminal cases, missing persons inquiries, and archaeological research. This study focuses on the DNA concentration in different skeletal elements to improve human identification efforts. Ten cases of unidentified skeletal remains brought to the Institute of Forensic Medicine in Timisoara, Romania, underwent DNA analysis between 2019 and 2023. The results showed that teeth are the best source for DNA extraction as they contain the highest concentration of genetic material, at 3.68 ng/µL, compared to the petrous temporal bone (0.936 ng/µL) and femur bone (0.633 ng/µL). These findings highlight the significance of teeth in forensic contexts due to their abundant genetic material. Combining anthropological examination with DNA analysis enhances the understanding and precision of identifying human skeletal remains, thus advancing forensic science. Selecting specific skeletal elements, such as the cochlea or teeth, emerges as crucial for reliable genetic analyses, emphasizing the importance of careful consideration in forensic identification procedures. Our study concludes that automated DNA extraction protocols without liquid nitrogen represent a significant advancement in DNA extraction technology, providing a faster, more efficient, and less labor-intensive method for extracting high-quality DNA from damaged bone and tooth samples.

Introduction: Road Traffic Accidents (RTAs) are the leading cause of premature death in young people aged 5–29. Globally, 186,300 children aged 9 years and under die from RTAs each year. Romania had the highest mortality rate in children aged 0 to 14 for 2018–2020. This study aimed to assess the involvement of children aged 0–17 years in fatal RTAs by analyzing medico-legal autopsy records in a 5-year period at Timisoara Institute of Legal Medicine (TILM), Romania. Materials and Methods: A retrospective analysis of medico-legal autopsy records of road fatalities in children aged 0–17 years, from TILM in a 5-year period (2017–2021), was conducted. Results: Of all medico-legal autopsies in the 5-year period, 23 cases (5.8%) involved road fatalities in children aged 17 and under. Preschoolers accounted for 10 cases, followed by the age group 15–17 years (n = 9). Most children sustained fatal injuries as passengers (n = 13), followed by child pedestrians (n = 7). This research follows four representative cases, each being a different type of child road fatality regarding the type of road user, the age of the victim, and the involvement of other risk factors. Conclusions: Our findings emphasize the tragedy of road fatalities in children and the need to determine risk factors and prevention strategies to reduce the enormous global crisis involving these vulnerable victims.

Road traffic accidents (RTAs) represent the key sign of the level of road safety. Romania once held the record for road deaths among European Union (EU) countries and as of 2023, it came second place. It is of utmost importance to assess whether measures that restricted human mobility during the coronavirus disease 2019 (COVID-19) pandemic led to a significant reduction in road fatalities. This study assesses the impact of the COVID-19 pandemic on victims of fatal RTAs by analyzing medicolegal autopsies from the Timisoara Institute of Legal Medicine (TILM), Timis County, Romania. Materials and methods: Medicolegal autopsy records of RTA victims from TILM in a 5-year period (2017–2021) were analyzed. Results: 395 cases (10.5%) were represented by victims of fatal RTAs. The reduction in the number of cases in the pandemic period was not statistically significant (p = 0.061) compared to the pre-pandemic period, but the number of victims of RTAs decreased by 17.6%. This highlights the importance of understanding the role of other risk factors in fatal RTAs, since a lesser volume of traffic did not cause a significant decrease in road fatalities. Male victims were predominant, with 18–50 years being the most affected age group. In the pandemic period, the most affected age groups were 31–40 (18.5%), followed closely by 41–50 (17.6%) and 18–30 (16.7%). In the pre-pandemic period, the first place was held by people in the age interval of 61–70 (20.5%), followed by 18–30 (19.2%). Drivers were the most involved type of road user, and a slight increase in the proportion of cyclists (13.9% from 10.5%) and motorcyclists (6.5% from 5.9%) was noted. Conclusions: Our findings show that measures implemented to control the COVID-19 pandemic may have had a positive effect on the reduction of RTAs, as shown by the information based on medicolegal autopsies in Timis County, Romania, but more attention needs to be focused on other risk factors. Further studies need to identify reasons for the small reduction in fatal injuries when the volume of traffic was reduced during mandated national lockdown.