Depression in the Diabetic Patient

Depression is a common emotional state in humans, which is sometimes triggered by stressful events and certain physical and/or mental conditions that may occur and may increase the body's vulnerability to various types of depressive disorders, causing sometimes organic changes difficult to quantify and to treat. Depressive conditions are major clinical problems that occur throughout life and often require a specialized treatment, but the use of the antidepressant compounds is often endangered by the risk of formidable side effects, requiring to stop the treatment or to use medicine doses that cannot determine the desired therapeutic results. These are reasons for the impressive expansion of the research on the depression types, with emphasize on etiological and etiopathogenetical studies, allowing the discovery of compounds with good therapeutic potential and an appropriate pharmacological profile to reduce the side effects. Diabetes (diabetes mellitus) is a major public health problem, with increasing costs and frequency in recent years. Late diagnosis, inadequate treatment, lack of ongoing monitoring or ignorance of the disease can have serious consequences for the health of that individual, his family and his community. The mental state of a patient with diabetes is different from one moment to the next and varies with the stage of the disease and the appearance of various complications. The stress of chronic illness, the pressure to have a lifestyle and a diet according to medical recommendations, sadness, anger and even denial of the disease, are feelings experienced by patients with diabetes at least once in their lives.</p

Enhancing the Evidence with Algorithms: How Artificial Intelligence Is Transforming Forensic Medicine

Background: The integration of artificial intelligence (AI) into various fields has ushered in a new era of multidisciplinary progress. Defined as the ability of a system to interpret external data, learn from it, and adapt to specific tasks, AI is poised to revolutionize the world. In forensic medicine and pathology, algorithms play a crucial role in data analysis, pattern recognition, anomaly identification, and decision making. This review explores the diverse applications of AI in forensic medicine, encompassing fields such as forensic identification, ballistics, traumatic injuries, postmortem interval estimation, forensic toxicology, and more. Results: A thorough review of 113 articles revealed a subset of 32 papers directly relevant to the research, covering a wide range of applications. These included forensic identification, ballistics and additional factors of shooting, traumatic injuries, post-mortem interval estimation, forensic toxicology, sexual assaults/rape, crime scene reconstruction, virtual autopsy, and medical act quality evaluation. The studies demonstrated the feasibility and advantages of employing AI technology in various facets of forensic medicine and pathology. Conclusions: The integration of AI in forensic medicine and pathology offers promising prospects for improving accuracy and efficiency in medico-legal practices. From forensic identification to post-mortem interval estimation, AI algorithms have shown the potential to reduce human subjectivity, mitigate errors, and provide cost-effective solutions. While challenges surrounding ethical considerations, data security, and algorithmic correctness persist, continued research and technological advancements hold the key to realizing the full potential of AI in forensic applications. As the field of AI continues to evolve, it is poised to play an increasingly pivotal role in the future of forensic medicine and pathology

HPLC Analysis and Risk Assessment of 15 Priority PAHs in Human Blood Serum of COPD Patient from Urban and Rural Areas, Iasi (Romania)

One of the leading risk factors for environmental health problems is air pollution. The World Health Organization (WHO) reports that this risk factor is associated with one of every nine deaths worldwide. Epidemiological studies conducted in this field have shown a solid connection between respiratory pathology and polycyclic aromatic hydrocarbon (PAH) exposure. COPD and asthma are respiratory diseases that were shown to have a strong association with exposure to PAHs. The purpose of the present study was to assess the serum levels of 15 PAHs in 102 COPD patients and to evaluate the results according to the residence environment of the investigated subjects. Analyses were carried out using a high-performance liquid chromatograph Nexera X2—Shimadzu Japan, which was equipped with an LC–30AD pump and an SIL–30AC autosampler. Spiked matrices, procedure blanks, spiked controls, and calibration standards in the acetonitrile were used as quality-assurance samples. Benzo(a)pyrene is the main representative of PAHs and was determined in higher concentrations in subjects with COPD versus the control group from the urban area (0.90/0.47 ng/mL) and rural area (0.73/0.44 ng/mL). The values obtained for the Benzo(a)pyrene-equivalent factor indicate a higher carcinogenic potential for patients diagnosed with COPD in urban areas compared to those in rural areas. These results could be due to traffic and vehicle emissions. This research identifies the need for legislative action to decrease semi-volatile organic compounds, especially PAHs, mainly in urban cities, in order to improve environmental management and health conditions