Advanced deep learning algorithms in oral cancer detection: Techniques and applications.

As the 16 most common cancer globally, oral cancer yearly accounts for some 355,000 new cases. This study underlines that an early diagnosis can improve the prognosis and cut down on mortality. It discloses a multifaceted approach to the detection of oral cancer, including clinical examination, biopsies, imaging techniques, and the incorporation of artificial intelligence and deep learning methods.

Patterns and trends in burden of asthma and its attributable risk factors from 1990 to 2021 among south Asian countries: a systematic analysis for the Global Burden of Disease Study 2021.

Objective: Asthma poses a significant health burden in South Asia, with increasing incidence and mortality despite a global decline in age-standardized prevalence rates. This study aims to analyze asthma trends from 1990 to 2021, focusing on prevalence, incidence, mortality, and disability-adjusted life years (DALYs) across South Asia. The study also assesses the impact of risk factors like high body mass index (BMI), smoking, and occupational exposures on asthma outcomes.

Burden of rheumatic diseases among people with diabetes: A systematic review and meta-analysis.

Diabetes mellitus type 2 (DM2) is a prevalent metabolic condition affecting over 500 million people globally and associated with serious comorbidities, including various rheumatologic conditions. Some studies have reported a significant association between rheumatological conditions and DM2. However, the global burden of rheumatological conditions among people with DM2 remains unknown.

Evaluation of Ki67 in pathological prognostic staging of breast cancer: a tertiary care center study.

Background: The rising global burden of breast cancer demands early detection and effective treatment, with a focus on prognostic and predictive markers. The eighth edition of the American Joint Committee on Cancer staging manual introduced a new prognostic staging system to increase the predictive power of the existing anatomical staging system of breast cancer. The current study aimed to establish the correlation between Ki67 expression with molecular subtypes and with the pathological prognostic stage of invasive ductal carcinoma.

Recent advances in teaching-learning methodologies of the Ayurveda education system.

Teaching and learning are two sides of the same coin. Ayurveda, the ancient system of medicine that originated in India, has a long history of teaching and learning methods. In the early days, Ayurvedic knowledge was primarily transmitted through oral tradition, with teachers passing down their knowledge to students through direct communication.

Dyke-Davidoff-Masson syndrome: A rare case of hemiatrophy with chronic seizure disorder.

Dyke-Davidoff-Masson syndrome (DDMS) is a rare neurological disorder characterized by cerebral hemiatrophy, leading to seizures, hemiparesis, and cognitive deficits. We report the case of a 20-year-old female with a history of chronic seizure disorder and left-sided hemiparesis. The patient experienced her first seizure at 6 months of age, followed by recurrent generalized tonic seizures throughout childhood.

Perforating ENL: A variant of type 2 lepra reaction.

Lepra reactions are acute episodic inflammatory reactions that occur during illness due to abrupt changes in the body's immunological response against Mycobacterium leprae. These are of two types, type 1 and type 2. Type 2 reaction is also called Erythema Nodosum Leprosum (ENL).

Innovations in RNA therapeutics: a review of recent advances and emerging technologies.

The field of biomedical science has witnessed another milestone with the advent of RNA-based therapeutics. This review explores three major RNA molecules, namely: messenger RNA (mRNA), RNA interference technology (RNAi), and Antisense Oligonucleotide (ASO), and analyses U.S.

Burden of diabetes in correctional facilities: A global systematic review and meta-analysis.

Background: Diabetes mellitus presents significant public health challenges worldwide. While its prevalence and management in the general population have been extensively studied, comprehensive research on diabetes among incarcerated individuals is lacking. This study aims to conduct a systematic review and -analysis to determine the prevalence of diabetes within the prison population.

John the Baptist in Leonardo Da Vinci's Painting - What's in a Smile?

The smile is a complex human facial expression, most commonly associated with joy. We present a detailed view on Leonardo Da Vinci's painting of Saint John the Baptist, between 1516 to 1516, which illustrates a smiling saint, which has evoked multiple explanations and theories. Discussing Da Vinci's concept of painting as science media and the two merely contradictory painting techniques chiaroscuro and sfumato, we attempt to approach this picture.

Effect of Build Orientation on Mechanical and Physical Properties of Additively Manufactured Resins Using Digital Light Processing Technology in Dentistry: A Systematic Review.

Aim: The aim of this systematic review was to evaluate the effect of build orientation on the mechanical and physical properties of additively manufactured resin using digital light processing (DLP).

Background: The properties of 3D-printed materials are influenced by various factors, including the type of additive manufacturing (AM) system and build orientation. There is a scarcity of literature on the effect of build orientation on the mechanical and physical properties of additively manufactured resins using DLP technology in dentistry.

A systemic evaluation of COVID-19 vaccination drives in LICs, LMICs, UMICs, and HICs: Preparedness for future pandemics.

Introduction: The COVID-19 pandemic has significantly impacted global healthcare systems. Vaccination is an effective strategy to battle the disease. Policies and distribution frameworks have varied widely across countries.

Challenges in diagnosis and management of xanthogranulomatous salpingo-oophoritis: A rare case.

Introduction And Importance: Xanthogranulomatous inflammation of the female genital tract is a rare condition involving ovarian tubes characterized by chronic inflammation and destruction of pelvic organs, often mimicking pelvic malignancy.

Case Presentation: A 37-year-old female with a history of chronic kidney disease, hypertension, and treated pulmonary tuberculosis, presented with lower abdominal fullness, pain, and irregular menstrual cycles.

Clinical Discussion: Radiological investigations revealed a significant left adnexal mass, suggesting a tubo-ovarian abscess or neoplastic lesion.

Exploring the link between sex hormone-binding globulin levels and prostate cancer risk: a comprehensive systematic review and meta-analysis.

Background: Sex hormone-binding globulin (SHBG) plays a critical role in regulating androgen bioavailability and has been hypothesized to influence prostate cancer risk, though existing evidence is inconsistent. This systematic review and meta-analysis aimed to evaluate the association between SHBG levels and prostate cancer risk.

Methods: A comprehensive search was conducted across PubMed, Embase, and Web of Science for studies published up to December 1, 2024.

Natural Hydrogel-based Drug Delivery System: A Global Scenario, Current Development, and Future Prospective.

Pharmaceutical giants (e.g., Ashland, Bausch & Lomb, Johnson & Johnson, Medtronic, Neurelis, etc.

Use of acupuncture among chronic disease patients attending primary healthcare facilities: a cross-sectional study in Korea.

Background: Given the crucial role of integrating acupuncture treatment into primary care for managing chronic diseases, this study endeavors to identify the utilization of acupuncture among chronic disease patients seeking primary care services in Korea. Additionally, it aims to evaluate their knowledge level and perceptions related to acupuncture use.

Methods: A descriptive cross-sectional study was conducted among chronic disease patients attending a primary care clinic in Korea.

Efficient Explainable Models for Alzheimer's Disease Classification with Feature Selection and Data Balancing Approach Using Ensemble Learning.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder and is the most common cause of dementia. Early diagnosis of Alzheimer's disease is critical for better management and treatment outcomes, but it remains a challenging task due to the complex nature of the disease. Clinical data, including a range of cognitive, functional, and demographic variables, play a crucial role in Alzheimer's disease classification.

The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency.

Background And Aims: Artificial Intelligence (AI) beginning to integrate in healthcare, is ushering in a transformative era, impacting diagnostics, altering personalized treatment, and significantly improving operational efficiency. The study aims to describe AI in healthcare, including important technologies like robotics, machine learning (ML), deep learning (DL), and natural language processing (NLP), and to investigate how these technologies are used in patient interaction, predictive analytics, and remote monitoring. The goal of this review is to present a thorough analysis of AI's effects on healthcare while providing stakeholders with a road map for navigating this changing environment.

Trends and projections of type 2 diabetes mellitus in South Asia: a three-decade analysis and forecast through 2031 using global burden of disease study (1990 - 2021).

Background: The rapid rise of non-communicable diseases, particularly type 2 diabetes mellitus (T2DM), poses a significant global public health challenge, with South Asia experiencing an increasingly severe burden. This study aimed to analyse historical trends of T2DM across South Asia from 1990 to 2021 and forecast incidence through 2031.

Research Design And Methods: We carried out analysis based on the data from the 2021 Global burden of disease study.

Association between vascular endothelial growth factor and atrial fibrillation: a systematic review.

Background: Atrial fibrillation (AF) is the most prevalent form of sustained cardiac arrhythmia, with vascular endothelial growth factor (VEGF) increasingly recognized for its potential role in the pathogenesis of AF through mechanisms involving atrial remodeling, inflammation, and fibrosis. This systematic review aims to synthesize available evidence on the association between VEGF and AF, exploring the implications of VEGF as a biomarker and therapeutic target.

Methods: We conducted a comprehensive search across PubMed, Embase, and Web of Science until November 10 2024, selecting studies based on pre-defined criteria that involve adults with AF and measurements of VEGF levels.

Wealth-based inequalities in tuberculosis prevalence among households having children and young adults in India: insights from Indian demographic and health surveys (2015-2021).

Background: Tuberculosis (TB) remains a significant health concern in India, especially among households with children and young adolescents aged 6-17 years. Despite ongoing research, there is a knowledge gap regarding specific risk factors for TB within this demographic. This study aims to bridge this gap by examining the association between TB and various socio-demographic factors, including socioeconomic status, nutritional status, and environmental conditions.

The role of artificial intelligence in pandemic responses: from epidemiological modeling to vaccine development.

Integrating Artificial Intelligence (AI) across numerous disciplines has transformed the worldwide landscape of pandemic response. This review investigates the multidimensional role of AI in the pandemic, which arises as a global health crisis, and its role in preparedness and responses, ranging from enhanced epidemiological modelling to the acceleration of vaccine development. The confluence of AI technologies has guided us in a new era of data-driven decision-making, revolutionizing our ability to anticipate, mitigate, and treat infectious illnesses.