7 research outputs found
Recent developments in orthodontic treatment-an overview
Background: Recent developments in orthodontic treatment have significantly impacted the management of various dental and skeletal issues in preadolescent patients. These advancements encompass a wide range of approaches aimed at addressing problems during the mixed-dentition phase, particularly skeletal discrepancies. Growth modification, camouflage, and orthognathic surgery are primary strategies used to correct these discrepancies. Aim: The aim of this overview is to present a comprehensive summary of recent developments in orthodontic treatment, focusing on growth modification strategies applied to address skeletal and dental issues in preadolescent patients. Methods: This overview examines various orthodontic treatment methods, including growth modification techniques such as the use of headgear, functional appliances, and orthognathic surgery. The discussion also explores the application of these methods to different types of malocclusions and skeletal discrepancies, particularly anteroposterior, transverse, and vertical problems
Exploring the human microbiome: Its role and impact on overall health and disease prevention
Background: The human microbiome has emerged as a pivotal factor in health and disease, significantly influencing various physiological processes and disease outcomes. Despite advances in microbiome research, the integration of microbiome knowledge into clinical practice remains limited. This review aims to elucidate the role of the microbiome in health and disease, emphasizing its potential for disease prevention, diagnosis, and treatment. Aim: To provide a comprehensive overview of the human microbiome’s structure, function, and impact on overall health and disease prevention. The review seeks to bridge the gap between microbiome research and clinical application, facilitating a better understanding among medical professionals. Methods: The review synthesizes findings from recent microbiome studies, including those from large-scale initiatives such as the Human Microbiome Project and the MetaHIT consortium. It examines various methodologies used to study microbiome structure and function, including 16S rRNA sequencing, metagenomics, metatranscriptomics, proteomics, and metabolomics. Results: The review highlights the diverse roles of the microbiome in health, such as its impact on immune system development, metabolic processes, and disease prevention. It also discusses the implications of microbiome research for various diseases, including infectious diseases, inflammatory bowel diseases, obesity, and cardiovascular conditions. 
Anticipating future global health crises: Strategies for addressing emerging infectious diseases and preparing for the next pandemic
Introduction: Despite initial optimism about controlling infectious diseases with antibiotics and vaccines, the emergence of the HIV pandemic and recent global health crises have highlighted the persistent threat of infectious diseases. The rise of antimicrobial resistance, novel viral agents like SARS-CoV-2, and bioterrorism underscore the need for ongoing vigilance. Emerging infectious diseases are those with increasing incidence or potential for increase, often stemming from zoonotic origins due to human-animal interactions and environmental changes. Aim: This article aims to review strategies for addressing emerging infectious diseases and preparing for future pandemics, emphasizing the roles of healthcare professionals and essential preparedness measures. Methods: A comprehensive review of historical and recent data on infectious disease emergence, including zoonotic pathogens and antimicrobial resistance, was conducted. The roles of physicians, pharmacists, and nurses in managing these diseases are analyzed, along with strategies for pandemic preparedness. Results: Effective strategies include strengthening global surveillance systems, investing in research and development of vaccines and treatments, improving preparedness planning, and fostering international collaboration. Key roles of healthcare professionals include diagnosis, treatment, medication management, infection control, and patient education. 
Integrating Complementary and Alternative Medicine (CAM) into emergency care: Evidence-based nursing, pharmacy, cardiologist, and telemedicine approaches
Background: Current biotechnology and medical procedures have made remarkable progress, yet the use of complementary and alternative medicine (CAM) is rapidly developing and expanding in the healthcare sector. This trend has significantly increased in contemporary civilizations, particularly in developing nations. To effectively address the health-seeking behavior of individuals, it is essential to integrate CAM practitioners into the mainstream healthcare system. Aim of Work – The aim of this initiative is to offer comprehensive training, adequate facilities, and support for referring patients, when necessary, thereby facilitating the integration of CAM into conventional healthcare. Methods: The approach involves the implementation of empirical CAM (EBCAM) treatments, which have demonstrated significant efficacy in treating various illnesses. Additionally, the integration of existing CAM systems is crucial for the exchange of evidence-based information. Results: While there is a positive combined impact from the interaction between conventional medicine and CAM, significant gaps remain in the EBCAM field that require further research. This research is essential to gather data and establish best practices for CAM. Conclusion: Enhancing people's health through the integration of CAM into mainstream healthcare necessitates ongoing research to fill the gaps in knowledge and practice. 
Exploring how lifestyle choices influence the management of chronic diseases-role of healthcare providers: Review article
Background: Chronic diseases are increasingly prevalent worldwide, with lifestyle choices playing a significant role in their management. Free radicals and oxidative stress have been implicated in various chronic conditions, including cardiovascular diseases, cancer, and neurodegenerative disorders. These conditions arise from an imbalance between reactive oxygen species (ROS) production and the body's antioxidant defenses. Aim: This review aims to explore how lifestyle choices influence oxidative stress and chronic disease management, with a focus on the role of healthcare providers in guiding lifestyle modifications to mitigate oxidative stress and improve health outcomes. Methods: A comprehensive review of the literature was conducted, focusing on the mechanisms of oxidative stress and its impact on chronic diseases. Studies on the effects of lifestyle factors such as diet, exercise, smoking, and alcohol consumption on oxidative stress were analyzed. The role of antioxidants in counteracting oxidative damage and their implications for chronic disease management were also examined. Results: The review highlights that lifestyle factors significantly affect oxidative stress levels. Moderate exercise enhances antioxidant defenses, while excessive physical activity, smoking, and alcohol consumption exacerbate oxidative stress. A diet rich in antioxidants helps mitigate oxidative damage. 
Exploring the future of surgical practices: Advances in minimally invasive techniques and the integration of robotic technology
Background: Robotic-Assisted Minimally Invasive Surgery (RAMIS) represents a significant advancement in surgical techniques, leveraging robotic systems to enhance precision, reduce invasiveness, and improve patient outcomes. The da Vinci surgical system has been a leading example, demonstrating the potential of robotic assistance in minimally invasive procedures. Aim: This paper explores the evolution of RAMIS, focusing on technological advancements, integration with Artificial Intelligence (AI), and future directions in surgical robotics. Methods: The study reviews the development and current state of RAMIS technologies, including the historical background, state-of-the-art systems, and emerging innovations. It analyzes data from a range of sources including literature reviews, market reports, and recent research developments. Results: RAMIS systems, particularly the da Vinci surgical system, have achieved widespread adoption due to their advanced features, such as enhanced vision, improved ergonomics, and training programs. Recent advancements include AI integration, new sensor technologies, and enhanced imaging modalities. Despite these improvements, challenges remain in achieving higher levels of autonomy and addressing cost and regulatory issues. Conclusion: RAMIS continues to evolve with significant advancements in AI, haptic feedback, and simulation technologies. Future developments are expected to further enhance surgical precision and outcomes. 
Exploring the impact and applications of artificial intelligence in advancing modern medical diagnostic practices-role of healthcare providers: Review article
Introduction: Since its inception in 1956, artificial intelligence (AI) has advanced significantly, especially in the past decade. AI's integration into healthcare has revolutionized medical diagnostic practices, enabling faster and more accurate analysis of medical records. By mimicking human intelligence, AI facilitates the processing of vast amounts of data, thus improving diagnosis, treatment, and patient care. Aim: This review article aims to explore the impact and applications of AI in modern medical diagnostics and evaluate its role across various healthcare providers, including physicians, pharmacists, nurses, radiologists, and pathologists. Methods: The article reviews recent advancements in AI technologies and their implementation in healthcare. It examines the benefits of AI across different medical domains and its impact on improving diagnostic accuracy, patient management, and treatment outcomes. Results: AI has demonstrated significant benefits in healthcare by enhancing diagnostic accuracy, personalizing treatment plans, and improving patient outcomes. Key technologies such as machine learning, artificial neural networks, and natural language processing have been pivotal in advancing medical diagnostics and patient care. Conclusion: AI is increasingly vital in modern medicine, offering solutions to complex diagnostic and treatment challenges. Its applications improve healthcare efficiency, accuracy, and patient satisfaction