Tuberculosis (TB) is an infectious disease of global public health importance caused by the Mycobacterium tuberculosis complex. Despite advances in diagnosis and treatment, this disease has worsened with the emergence of multidrug-resistant strains of tuberculosis. We aim to present and review the history, progress, and future directions in the diagnosis of tuberculosis by evaluating the current methods of laboratory diagnosis of tuberculosis, with a special emphasis on microscopic examination and cultivation on solid and liquid media, as well as an approach to molecular assays. The microscopic method, although widely used, has its limitations, and the use and evaluation of other techniques are essential for a complete and accurate diagnosis. Bacterial cultures, both in solid and liquid media, are essential methods in the diagnosis of TB. Culture on a solid medium provides specificity and accuracy, while culture on a liquid medium brings rapidity and increased sensitivity. Molecular tests such as LPA and Xpert MTB/RIF have been found to offer significant benefits in the rapid and accurate diagnosis of TB, including drug-resistant forms. These tests allow the identification of resistance mutations and provide essential information for choosing the right treatment. We conclude that combined diagnostic methods, using several techniques and approaches, provide the best result in the laboratory diagnosis of TB. Improving the quality and accessibility of tests, as well as the implementation of advanced technologies, is essential to help improve the sensitivity, efficiency, and accuracy of TB diagnosis.

Background: Accurate and rapid diagnosis of drug-resistant tuberculosis is essential for initiating appropriate treatment and preventing the transmission of these strains. This study compares phenotypic and genotypic methods of drug susceptibility testing for Mycobacterium tuberculosis (M. tuberculosis). Methods: Resistance to first-line drugs, as well as resistance to second-line drugs (fluoroquinolones and aminoglycosides), was assessed using the Löwenstein–Jensen medium phenotypic method and the GenoType MTBDRplus genotypic method and analyzed. Results: The phenotypic resistance rate was 84.85% for INH (n = 56), 46.97% for RIF (n = 31), 48.48% for STR (n = 32), and 30.30% for EMB (n = 20). Of the MDR-TB isolates (n = 29), 41.37% were resistant to fluoroquinolones (n = 12) and 31.03% were resistant to both fluoroquinolones and injectable aminoglycosides, being classified as XDR-TB (n = 9). In addition, 22.73% of the MDR-TB isolates were resistant to all four first-line drugs (n = 15). The overall concordance between the line probe assay method and phenotypic testing was 94.74% for RIF and 95.16% for INH. Discordances were identified in three cases for RIF and two cases for INH, where isolates were reported as susceptible by GenoType MTBDRplus, but phenotypically resistant. Conclusions: Genotypic testing using GenoType MTBDRplus provides rapid and accurate results, but some cases of phenotypic resistance are not detected by this method. The results highlight the importance of using combined phenotypic and genotypic methods for accurate diagnosis of MDR-TB, as well as the need to integrate genomic sequencing to improve diagnostic accuracy.

Background/Objectives: The effective management of dental practices is increasingly recognized as a key factor in ensuring high-quality care, efficient operations, and interdisciplinary collaboration. While many dentists assume managerial responsibilities, formal training in healthcare or dental practice management may influence the quality of these practices. This study aims to evaluate the differences in organization, efficiency, and quality of care between dental clinics managed by dentists who have completed management training and those who have not. It also explores dentists’ knowledge and attitudes regarding dental practice management. Methods: A cross-sectional, observational, case–control study was conducted between 14 April and 14 May 2023, using an online questionnaire distributed to licensed dental practitioners in Romania. A total of 136 dentists participated, divided into a study group (n = 60), who had completed management courses and a control group (n = 76) who had not. Descriptive statistics and comparative analyses (t-tests, Chi-square tests) were performed using SPSS version 24, with significance set at p < 0.05. Results: Dentists with managerial training demonstrated greater implementation of strategic planning, financial performance monitoring, quality management, and use of digital tools. They also reported higher collaboration with interdisciplinary professionals—orthodontist 76.7% in the study group vs. 63.2% in the control group, medical assistant 78.3% in the study group vs. 47.4% in the control group, front desk 43.3% in the study group vs. 18.4% in the control group; better delegation of tasks—61.7% in the study group vs. 27.6% in the control group; and greater concern for team development—95% in the study group vs. 71% in the control group; and patient rights—81.7% in the study group vs. 75% in the control group. Significant differences (p < 0.05) were noted in management practices, opinions about the optimal manager for a dental practice, and the use of software tools. Conclusions: Managerial training equips dentists with critical skills for enhancing operational efficiency and care quality. Integrating management education into dental curricula and continuing professional development can substantially improve the sustainability and performance of dental practices.

Dental caries remains one of the most prevalent chronic diseases worldwide, driven by complex interactions among dietary, hygienic, and biological factors. This study introduces a hybrid predictive framework that integrates mathematical modelling and artificial intelligence (AI) to estimate individual caries risk based on daily sugar intake, oral hygiene index, salivary pH, fluoride exposure, age, and sex. A first-order balance differential equation was applied to simulate demineralisation–remineralisation dynamics, while a feed-forward artificial neural network (ANN) was trained on simulated and literature-derived datasets. The hybrid model demonstrated strong predictive performance, achieving 91.2% accuracy and an AUC of 0.98 in classifying individuals into low-, moderate-, and high-risk categories. Sensitivity analysis identified sugar intake and oral hygiene as dominant determinants, while fluoride and salivary pH showed protective effects. These findings highlight the feasibility of combining mechanistic and data-driven approaches to enhance early risk assessment and support the development of intelligent, personalised screening tools in preventive dentistry.

Background: Y chromosome analysis is used in various fields of forensic genetics, genetic genealogy, andevolutionary research, due to its unique characteristics. Short tandem repetitions (STR) are particularlyrelevant in population genetic studies. The aim of this study is to analyze the genetic profile of twopopulations in the Apuseni Mountains area, B & abreve;ita and Rosia Montan & abreve;, Romania.Methods: 27 STR loci of the Y chromosome were analyzed to investigate the genetic profile of twopopulations from the Apuseni Mountains area. Investigating genetic diversity by analyzing allele frequency,haplotype frequency, calculating forensic parameters, and presenting the main haplogroups identified basedon Y-STR markers.Results: Gene diversity in the batch from B & abreve;ita varies from 0.515 for the DYS393 locus to 0.947 for theDYS385 locus. In the Rosia Montan & abreve; population, gene diversity ranges from 0.432 for DYS393 to 0.931 forDYS385. The haplotype diversity in Rosia Montan & abreve; was 0.991, and the haplotype diversity was 1.000 in thepopulation from B & abreve;ita. A total of nine haplogroups was identified in the batch from B & abreve;ita, while only sevenhaplogroups were observed in the batch from Rosia Montan & abreve;. Both groups are based on the same five majorhaplogroups (E, G, I, J, and R) and the most common haplogroup is R1b in both populations.Conclusion: In this study, the genetic diversity of two distinct populations was assessed using geneticanalyses based on different markers. Analysis of Y-STR profiles revealed significant genetic diversity in bothstudied groups. All haplogroups identified were similar to those present in other Romanian populations.

Y chromosome analysis is used in a number of practical applications, including investigations of criminal cases, establishment of paternity, searching for missing persons, studies on human migration, evolutionary research, and historical and genealogical investigations. Questions about the origin of individual ethnic groups are addressed not only through archaeological, linguistic, and ethnographic methods but also through molecular genetics methods. The study of genetic diversity in Romania is particularly interesting from several perspectives because Romania, located in Southeast Europe, is distinguished by the fact that the Carpathians and the Danube served as natural barriers against the migrations of peoples for centuries, thus influencing the genetic mixture of the population. This is relevant for understanding the history and formation of ethnic groups in the region. In addition, many ethnic minorities live in Romania, which adds an additional dimension of genetic and cultural diversity. This article aims to provide an updated picture of the genetic diversity in Romania and to highlight the significant studies carried out among the Romanian population. By analyzing the articles published in the Web of Science, Scopus, or PubMed databases, which explore genetic diversity using the Y chromosome, the aim is to better understand the current genetic panorama in Romania.