Diagnostic accuracy of Gorelick 10 point scale in comparison to IMCI scale in identifying significant dehydration in South Indian children? - A prospective observational study.

Background: Unavoidable cause of mortality among under 5 children in India is dehydration resulting from acute diarrhoeal diseases. In spite of various dehydration scales available across the world, the most commonly used dehydration scale in India is IMCI. Gorelick 10 point scale having more clinical indicators could also be considered using if the diagnostic accuracy of the scale in identifying the significant dehydration is in par with that of IMCI scale.

Assessment of Self-Medication Practices and Knowledge Among Medical Students in Chengalpattu District: A Cross-Sectional Study.

Introduction: The practice of self-medication is wherein individuals initiate the use of medications without consulting a healthcare professional. College life is a period marked by academic, social, and personal changes. Due to their greater freedom and the pressure of academic success, students face various health issues.

PHILOS (Proximal Humerus Internal Locking System) Plating vs MultiLoc Nailing in Proximal Humerus Fracture: Systematic Review and Meta-Analysis of Radiological and Functional Outcomes.

Proximal humeral fractures, predominantly affecting the elderly, pose significant treatment challenges due to the complex anatomy of the shoulder joint and variability in bone quality. MultiLoc nails (Synthes USA Products, West Chester, USA) are the latest construct, and PHILOS (Proximal Humerus Internal Locking System, (Synthes USA Products, West Chester, USA)) plates are the earlier construct used for the fixation of proximal humerus fractures. This systematic review aims to provide a comparison of MultiLoc nails and PHILOS plates, focusing on their effectiveness, safety, and patient outcomes.

Understanding Radiology Discrepancies: A Case Cross-Sectional CT Study in a Tertiary Care Setting.

Introduction:  In modern healthcare, computed tomography (CT) is essential for diagnosing a wide range of medical conditions, particularly in emergency settings where timely evaluation of critical areas such as the brain, thorax, abdomen, and pelvis is crucial. However, the increasing reliance on provisional reports generated by postgraduates during on-call hours introduces challenges, as discrepancies often arise between these initial reports and final assessments by senior radiologists. These discrepancies can affect patient outcomes, particularly in complex cases, underscoring the need for studies that evaluate the patterns and clinical relevance of discrepancies across multiple CT modalities.

Severity prediction markers in dengue: a prospective cohort study using machine learning approach.

Background: Dengue virus causes illnesses with or without warning indicators for severe complications. There are no clear prognostic signs linked to the disease outcomes.

Methods: Clinical and laboratory parameters among 102 adult including 17 severe dengue (SD), 33 with warning and 52 without warning signs during early and critical phases were analysed by statistical and machine learning (ML) models.

Types of Medication Non-adherence & Approaches to Enhance Medication Adherence in Mental Health Disorders: A Narrative Review.

Background: Medication non-adherence (MNA) presents a significant obstacle that negatively impacts treatment effectiveness in mental health disorders. The objective of this review is to study different types of MNA and interventions designed to enhance medication adherence among individuals with mental health disorders.

Methods: We conducted an electronic search on PubMed and Google Scholar using keywords such as adherence, non-adherence, compliance, non-compliance, mental health disorders, psychotropic drugs, major depressive disorder (MDD), schizophrenia, anxiety disorders, and bipolar disorders (BD).

Overcoming barriers of cervical cancer elimination in India: A practice to policy level advocacy.

India's ambitious goal of eliminating cervical cancer by 2030 faces significant challenges due to the high burden of disease, low screening rates, and sociocultural barriers. Despite the Government's focus on vaccination, addressing cervical cancer requires a more comprehensive approach that is multisectoral and consider practice to policy engagement. Addressing not only vaccination but also social barriers, healthcare infrastructure, and research is key to preventing and controlling this preventable disease.

β-1,3-glucan from : a promising epidrug targeting epigenetic regulators PRMTs and SIRTs for therapeutic applications in ovarian cancer.

Natural products serve as a valuable resource in drug discovery and the identification of bioactive molecules in the field of epimedicine, which targets epigenetic regulator enzymes through epidrugs. In this study, β-1,3-glucan (BG), a natural storage polysaccharide in a well-known immunostimulatory agent, is propounded as a promising epidrug. To elucidate the therapeutic efficacy of BG against ovarian cancer, the molecular interactions between BG and epigenetic regulators, Protein Arginine Methyltransferases (PRMTs) and Sirtuins (SIRTs) were investigated using computational methods followed by gene expression studies in SKOV-3 ovarian cancer cell line.

Clinical and Biochemical Parameters in Relation to Serum Fetuin-A Levels in Overweight and Obese with and without Metabolic Syndrome in the North-eastern States of Indian Population.

Introduction: In India the prevalence of metabolic syndrome has dramatically increased. Hepatokines have gained considerable interest, and the role of fetuin-A in overweight and obesity incompletely understood. Therefore, this study aimed to investigate the role of serum fetuin-A in overweight and obese adults with and without metabolic syndrome in the northeastern Indian population.

The synergistic anti-Warburg efficacy of temozolomide, metformin and epigallocatechin gallate in glioblastoma.

An important hallmark of glioblastoma aggressiveness is its altered metabolism of glucose. This metabolic shift wherein the tumor cells employ aerobic glycolysis regardless of oxygen availability via reprogramming of mitochondrial oxidative phosphorylation is known as the Warburg effect. Previous literatures have linked this metabolic reprograming to tumor progression and glioblastoma cell proliferation making it a key target for targeted drug therapy.

Enhancing precision flood mapping: Pahang's vulnerability unveiled.

Malaysia, particularly Pahang, experiences devastating floods annually, causing significant damage. The objective of the research was to create a flood susceptibility map for the designated area by employing an Ensemble Machine Learning (EML) algorithm based on geographic information system (GIS). By analyzing nine key factors from a geospatial database, flood susceptibility map was created with the ArcGIS software (ESRI ArcGIS Pro v3.

Decoding Acute Scrotum: Diagnostic Accuracy of Ultrasound in Urgent Clinical Settings.

Background Acute scrotum is a medical emergency commonly encountered in clinical practice, particularly in pediatric and adolescent populations. It is characterized by sudden onset of scrotal pain and may involve swelling, redness, or tenderness. The most common etiologies include testicular torsion, epididymo-orchitis, trauma, and, less frequently, tumors.

Exploring Computational Advancements in ADME: Essential Insights for Drug Disposition.

The physicochemical properties of the physiological makeup and the chemical componentof the system make this challenging throughout strenuous procedure. The current review concentrated on in silico modelling of drug disposition, involving absorption process, distribution process, and excretion process and includes thorough knowledge of various database expeditions, the development of a pharmacophore model, molecular docking studies, homology modelling supported sequence similarity and quantitative structure-activity relationships (QSAR)/ quantitative structure-property relationships (QSPR) evaluation along with all information about drug movement and related computational tools for understanding potential chemical and pathophysiological changes. The primary development in ADMET modeling in current times has been the clarification of the function and effective modeling of various transporters.

Managing drug therapy-related problems and assessment of chronic diabetic wounds.

Type 2 diabetes mellitus (T2DM), responsible for most diabetes cases recorded worldwide, increases the risk of chronic wounds and amputation. Patients with T2DM appear to be more susceptible to delayed wound healing due to their treatment adherence. This review explores the specifics of polypharmacy, side effects, possible drug interactions and the importance of medication adherence for therapeutic efficacy.

Posteruptive Intracoronal Resorption in a 9-year-old with Molar Incisor Hypomineralization: A Case Report.

Objectives: The case report highlights the management of late-stage sequelae of preeruptive intracoronal resorption (PEIR) with molar incisor hypomineralization (MIH).

Materials And Methods: A 9-year-old patient presented with occlusal cavitations in her upper and lower permanent molars with vascularized tissue seen within the dentin, without any connections with the dental pulp, and no evidence of carious activity within the lesion. The affected teeth were debrided, and Biodentine™ was placed to preserve the vital pulp.

Mapping the Dental Applications of Nanosilver Fluoride: A Narrative Review.

Unlabelled: Advances in nanotechnology have been changing the face of dentistry with their diverse range of dental applications. Silver nanoparticles (AgNPs) are a relatively new breakthrough in dentistry.

Aim: The main objective of this paper is to discuss the current progress in the field of dentistry and highlight the aspects regarding silver nanoparticle incorporation, emphasizing the properties, applications, and advantages of nanosilver fluoride (NSF) that it brings to dentistry.

Evolving intellectual property landscape for AI-driven innovations in the biomedical sector: opportunities in stable IP regime for shared success.

Artificial Intelligence (AI) has revolutionized the biomedical sector in advanced diagnosis, treatment, and personalized medicine. While these AI-driven innovations promise vast benefits for patients and service providers, they also raise complex intellectual property (IP) challenges due to the inherent nature of AI technology. In this review, we discussed the multifaceted impact of AI on IP within the biomedical sector, exploring implications in areas like drug research and discovery, personalized medicine, and medical diagnostics.

Metabolomic profiling of dengue infection: unraveling molecular signatures by LC-MS/MS and machine learning models.

Background & Objective: The progression of dengue fever to severe dengue (SD) is a major public health concern that impairs the capacity of the medical system to predict and treat dengue patients. Hence, the present study used a metabolomic approach integrated with machine models to identify differentially expressed metabolites in patients with SD compared to nonsevere patients and healthy controls.

Methods: Comprehensively, the plasma was collected at different clinical phases during dengue without warning signs (DWOW, N = 10), dengue with warning signs (DWW, N = 10), and SD (N = 10) at different stages [i.