Biomarker diagnostics of endothelial dysfunction in patients with acute coronary syndrome and non-alcoholic fatty liver disease.

Objective: Aim: To determine the severity of endothelial dysfunction (ED) in patients with acute coronary syndromes (ACS) in non-alcoholic fatty liver disease (NAFLD).

Patients And Methods: Materials and Methods: The study included 124 patients with ACS. Group 1 included 74 patients after ACS and NAFLD, and group 2 consisted of 50 patients after ACS without liver damage.

From open-ended to multiple-choice: evaluating diagnostic performance and consistency of ChatGPT, Google Gemini and Claude AI.

Objective: Aim: To determine the performance and response repeatability of freely available LLMs in diagnosing diseases based on clinical case descriptions.

Patients And Methods: Materials and Methods: 100 detailed clinical case descriptions were used to evaluate the diagnostic performance of ChatGPT 3.5, ChatGPT 4o, Google Gemini, and Claude AI 3.

Markers for predicting the severity of acute pancreatitis.

Objective: Aim: To identify markers for predicting the severity of acute pancreatitis and the possible development of pancreatic necrosis.

Patients And Methods: Materials and Methods: Prospective analysis of 81 patients with moderate and severe acute pancreatitis while performing correlation analysis, building a logistic regression model.

Results: Results: A direct correlation of medium strength between sFGL2 and the following parameters was found D-dimer (R=0.

Prognostic value of ultrasound and ENMG in predicting the results of treatment of tunnel compressive and post-traumatic neuropathies.

Objective: Aim: Explore how demographics affect neuropathy treatment outcomes; track ultrasound and ENMG changes; compare treatment efficacies; and develop predictive models using ultrasound and ENMG for tunnel compressive and post-traumatic neuropathies.

Patients And Methods: Material and Methods: A retrospective cohort design. A sample size of 200 patients consisting of 100 with tunnel compressive and 100 post-traumatic neuropathies selected through a convenient sampling technique was used.

Life and death in Trypillia times: Interdisciplinary analyses of the unique human remains from the settlement of Kosenivka, Ukraine (3700-3600 BCE).

We present an interdisciplinary analysis of finds from the Trypillia settlement of Kosenivka, Ukraine (ca. 3700-3600 BCE, Trypillia C1-2), that links information on human, faunal, and botanical remains with archaeological data to provide exceptionally detailed insights into life and death at a giant Trypillia settlement. We obtained osteological, palaeopathological, morphological and histotaphonomic data from human bone fragments; performed carbon and nitrogen stable isotopic analysis of human and animal bone to calculate food webs; modelled newly generated radiocarbon dates to refine the site's chronology; and contextualised the finds within the phenomenon of a general lack of human remains in Early and Middle Trypillia times through a literature review.

Improving Energy Resolution of CdSe-Based γ-Ray Detectors through Asymmetric Schottky Contact Engineering Using Oxygen Plasma Treatment.

When creating a Schottky contact to suppress the leakage current of semiconductor γ-ray detectors and improve their energy resolution, it is successfully employed the fact that the formation of a Schottky barrier is determined not only by the difference in the electrode and semiconductor work functions but also affected by the semiconductor surface state. Oxygen plasma (OP) treatment has been used to modify the surface states of CdSe single crystals (SCs) prior to the Au electrode deposition, thereby creating a Schottky contact at the metal-semiconductor interface. The -type Schottky contact formation has been confirmed by the - characteristics and ultraviolet photoelectron spectroscopy analysis.

Fine-tuning of optical band gap in mixed halide aziridinium lead perovskites.

Hybrid halide perovskites form a promising class of light-absorbing materials. Among the numerous 3D semiconducting perovskites, there is a group of emerging aziridinium-based hybrids that are considered to be prospective materials for optoelectronic applications. In this work, we report the mixed halide aziridinium perovskites of (AzrH)PbBrxI3-x series (AzrH = aziridinium).

Physicochemical and Biological Evaluation of gem-Difluorinated Saturated Oxygen Heterocycles as Bioisosteres for Drug Discovery.

A comprehensive study on the physicochemical properties of gem-fluorinated O-heterocyclic substituents is reported. Systematic additive effects of introducing O- and gem-CF group introduction on acidic properties (pK) of the corresponding carboxylic acids/protonated primary amines were demonstrated. The impact of the O/CF moieties on lipophilicity (LogP) was found to be complex; significant mutual influence of the corresponding polar moieties governed the compound's overall properties in this case.

MINOCA as the result of coronary artery aneurysm thrombosis.

Myocardial infarction (MI) can be caused by many factors. In addition to the typical obstruction or stenosis of the coronary arteries, there is heterogenic MI with non-obstructive coronary arteries (MINOCA). A rare cause of MINOCA is the thrombosis of a coronary artery aneurysm (CAA).

Artificial intelligence in respiratory care: perspectives on critical opportunities and challenges.

Artificial intelligence (AI) is transforming respiratory healthcare through a wide range of deep learning and generative tools, and is increasingly integrated into both patients' lives and routine respiratory care. The implications of AI in respiratory care are vast and multifaceted, presenting both promises and uncertainties from the perspectives of clinicians, patients and society. Clinicians contemplate whether AI will streamline or complicate their daily tasks, while patients weigh the potential benefits of personalised self-management support against risks such as data privacy concerns and misinformation.

Biosimilar SB17 versus reference ustekinumab in moderate to severe plaque psoriasis after switching: phase 3 study results up to week 52.

Introduction: SB17 is a biosimilar to reference ustekinumab (UST). We compared the efficacy, safety, and immunogenicity of SB17 to UST up to Week 52, including switching from UST to SB17.

Methods: Subjects were randomized to receive 45 mg of SB17 or UST subcutaneously up to Week 40.

MIBiG 4.0: advancing biosynthetic gene cluster curation through global collaboration.

Specialized or secondary metabolites are small molecules of biological origin, often showing potent biological activities with applications in agriculture, engineering and medicine. Usually, the biosynthesis of these natural products is governed by sets of co-regulated and physically clustered genes known as biosynthetic gene clusters (BGCs). To share information about BGCs in a standardized and machine-readable way, the Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard and repository was initiated in 2015.

Insights into the paradoxical effect of smoking on vasculitis: a comprehensive review.

Vasculitis is a group of uncommon diseases characterized by inflammation of blood vessels, which contributes to the organ ischemia and damage. Cigarette smoke contains a high concentration of various toxins, which have the potential to affect the immune response and development of autoimmune/autoinflammatory rheumatic diseases including vasculitis. Smoking influences both innate and adaptive immune systems and plays binary functions in modulating immunity by either aggravating pathogenic immune responses or attenuating defensive immunity.

Improving the Process of Managing Psychosocial Risks in Organizations.

Introduction: Psychosocial risks (PSRs) are identified as one of the main modern occupational safety issues, primarily related to occupational stress, and need to be reduced to safe levels in accordance with international requirements. The research purpose is to improve the process of managing the PSRs in the occupational safety and health management systems of employees, taking into account the impact of psychosocial dangers in accordance with the requirements of ISO 45001:2018 and ISO 45003:2021 standards.

Methods: To develop the process of managing the PSRs, a system analysis method is applied, which allows determining the structural relationships between the variable elements of dangerous psychosocial factors described in the ISO 45003:2021 standard.

Modelling the epidemiological and economic impact of digital adherence technologies with differentiated care for tuberculosis treatment in Ethiopia.

Background: Digital adherence technologies (DATs) with associated differentiated care are potential tools to improve tuberculosis (TB) treatment outcomes and reduce associated costs for both patients and healthcare providers. However, the balance between epidemiological and economic benefits remains unclear. Here, we used data from the ASCENT trial to estimate the potential long-term epidemiological and economic impact of DAT interventions in Ethiopia.

The expression of DNAJB9 in normal human astrocytes is more sensitive to nanographene oxide than in glioblastoma cells.

Nanographene oxide (nGO) nanoparticles (NPs) have unique properties and are widely used in various fields, including biomedicine. These NPs, however, also exhibit toxic ef-fects and therefore, the understanding of the molecular mechanism of nGO toxicity is very im-portant mainly for the nanomedicine, especially the cancer therapy. This study aimed to examine the impact of nGO NPs on the expression of genes associated with endoplasmic reticulum (ER) stress, proliferation, and cancerogenesis in both normal human astrocytes and U87MG glioblas-toma cells.

An Improved Transformation-Associated Recombination Cloning Approach for Direct Capturing of Natural Product Biosynthetic Gene Clusters.

The phylum Actinomycetota and genus Streptomyces in particular are the major source for discovery of natural products with diverse chemical structures and a variety of biological activities. Genes encoding biosynthetic pathways for bacterial natural products are grouped together into biosynthetic gene clusters (BGCs). The size of a typical actinobacterial BGC may range from 10 kb to 200 kb, which makes their cloning for heterologous expression a challenging task.

Psychocorrection of Male Sexual Dysfunctions: A Clinical Study in Ukraine.

This study aimed to investigate the effects of psychotherapeutic interventions, specifically cognitive-behavioral sexual therapy, using the example of erectile dysfunction in a cohort of 58 Ukrainian men under the age of 40 years. To achieve this goal, questionnaire methods were employed, including questions from the International Index of Erectile Function and the Perceived Stress Scale, along with statistical data processing and subsequent discussion. Psychotherapeutic intervention demonstrated its effectiveness from the short-term perspective and over a period of 6 months, with a significant improvement in erectile function indicators and a reduction in distress scores in the group of patients undergoing combined therapy ( < .

Exploring ChatGPT in clinical inquiry: a scoping review of characteristics, applications, challenges, and evaluation.

Introduction: Recent advancements in generative AI, exemplified by ChatGPT, hold promise for healthcare applications such as decision-making support, education, and patient engagement. However, rigorous evaluation is crucial to ensure reliability and safety in clinical contexts. This scoping review explores ChatGPT's role in clinical inquiry, focusing on its characteristics, applications, challenges, and evaluation.

Role of artificial intelligence in predicting neurological outcomes in postcardiac resuscitation.

Being an extremely high mortality rate condition, cardiac arrest cases have rightfully been evaluated via various studies and scoring factors for effective resuscitative practices and neurological outcomes postresuscitation. This narrative review aims to explore the role of artificial intelligence (AI) in predicting neurological outcomes postcardiac resuscitation. The methodology involved a detailed review of all relevant recent studies of AI, different machine learning algorithms, prediction tools, and assessing their benefit in predicting neurological outcomes in postcardiac resuscitation cases as compared to more traditional prognostic scoring systems and tools.