Increased BMI is associated with an altered decision-making process during healthy food choices in males and females.

Unhealthy diets (rich in calories, sugar, fat, and sodium) are a major cause of obesity. Why individuals struggle to make healthy food choices remains unclear. This study examined how body mass index, biological sex, and eating context influence food attribute perception, the food choice process, and the percentage of healthy food choices.

Novel combination therapy targeting oncogenic signaling kinase P21 activated Kinase-1 and chemotherapeutic drugs against triple negative breast cancer.

Most of the triple negative phenotype or basal-like molecular subtypes of breast cancers are associated with aggressive clinical behaviour and show poor disease prognosis. Current treatment options are constrained, emphasizing the need for novel combinatorial therapies for this particular tumor subtype. Our group has demonstrated that functionally active p21 activated kinase 1 (PAK1) exhibits significantly higher expression levels in clinical triple negative breast cancer (TNBC) samples compared to other subtypes, as well as adjacent normal tissues.

Assessing Bacteriological Profiles and Targeting Resistant Bacterial Superbugs to Develop an Antibiogram Aiding in Antibiotic Selection.

Introduction The success of surgical procedures is becoming more threatened by the advent of multi-drug resistant (MDR) bacterial strains, sometimes known as superbugs. These resistant microorganisms frequently cause post-surgical infections, which raise morbidity, death, and medical expenses. With an emphasis on resistant strains, this seeks to create an antibiogram and a thorough microbiological profile of surgical infections in order to help choose the most effective antimicrobial therapy.

Enhanced diabetic retinopathy detection using U-shaped network and capsule network-driven deep learning.

Glaucoma, a severe eye disease leading to irreversible vision loss if untreated, remains a significant challenge in healthcare due to the complexity of its detection. Traditional methods rely on clinical examinations of fundus images, assessing features like optic cup and disc sizes, rim thickness, and other ocular deformities. Recent advancements in artificial intelligence have introduced new opportunities for enhancing glaucoma detection.

Transformative Spinal Surgery: Lateral Position Unilateral Biportal Endoscopic Discectomy.

Introduction: Endoscopic spine surgery (ESS) is a minimally invasive technique that allows for direct visualization of spinal pathologies and has become a safe and effective alternative to traditional open spine surgery. Conventionally performed in the prone position, biportal endoscopy can also be done in the lateral position to avoid prone-associated complications. To our knowledge, the use of unilateral biportal endoscopy (UBE) in the lateral position has not been previously reported.

Staple principles for the definition of front-of-pack nutritional labels.

Front-of-pack nutrition labels (FOPNLs) have been developed since 1989 to curb the increasing prevalence of obesity and non-communicable diseases (NCDs) and to promote healthy consumption choices. While several countries have introduced their own labeling schemes on a voluntary basis, the European Commission aims to harmonize a FOPNL system that will be mandatory for all member states. This paper summarizes a contribution to the current debate on FOPNLs from Italian and Spanish researchers working in the fields of human nutrition, nutritional epidemiology and public health education and communication policy before the final decision on FOPNLs to become mandatory in Europe is taken.

The clinical characteristics and treatment outcomes of patients with systemic polyarteritis nodosa (PAN): a single centre study from India.

Objectives: To describe the clinical profile and compare the long-term outcomes of patients with S-PAN treated with various treatment regimens at our centre in the last 2 decades.

Methods: Data regarding clinical presentation, treatment allocation, relapses and outcomes of patients fulfilling American College of Rheumatology (ACR) 1990 criteria for PAN in the last 2 decades were recorded from electronic medical records. Relapse-free survival and predictors were analysed using KM survival statistics and regression analysis.

The Challenges and Opportunities for Performance Enhancement in Resonant Fiber Optic Gyroscopes.

In the last decade, substantial progress has been made to improve the performance of optical gyroscopes for inertial navigation applications in terms of critical parameters such as bias stability, scale factor stability, and angular random walk (ARW). Specifically, resonant fiber optic gyroscopes (RFOGs) have emerged as a viable alternative to widely popular interferometric fiber optic gyroscopes (IFOGs). In a conventional RFOG, a single-wavelength laser source is used to generate counter-propagating waves in a ring resonator, for which the phase difference is measured in terms of the resonant frequency shift to obtain the rotation rate.

Anti-Dyslipidemic Potential of Sulfated Glycosaminoglycan from Rock Oyster Saccostrea cucullata: An in vivo study.

The rock oyster, Saccostrea cucullata, native to the Indo-Pacific region, is renowned for its nutritional and therapeutic benefits. A sulfated glycosaminoglycan (SCP-2) with β-(1→3)-GlcNSp and α-(1→4)-GlcAp as recurring units isolated from S. cucullata.

Machine Learning and GLCM Analysis for Enhanced AMD Detection in Retinal Image.

Global blindness is substantially influenced by age-related macular degeneration (AMD). It significantly shortens people's lives and severely impairs their visual acuity. AMD is becoming more common, requiring improved diagnostic and prognostic methods.

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.

Unveiling the Burden of Sickle Cell Anemia: A Pilot Study Validating Dried Blood Spots for Newborn Screening.

This hospital-based cross-sectional study aimed to screen newborns for sickle cell anemia immediately after birth and validate dried blood spot (DBS) samples against conventional venous blood samples (CBS) for hemoglobin variant analysis by HPLC. Among 751 newborns, 2.93% were found to have sickle cell trait.

In vitro and In silico investigation deciphering novel antifungal activity of endophyte Bacillus velezensis CBMB205 against Fusarium oxysporum.

Endophytes from medicinal plants are potential biocontrol agents against Fusarium oxysporum f. sp. cubense (Foc), which is the causative fungus of banana wilt disease.

Investigation of the impact of R273H and R273C mutations on the DNA binding domain of P53 protein through molecular dynamic simulation.

The P53 protein, a cancer-associated transcriptional factor and tumor suppressor, houses a Zn ion in its DNA-binding domain (DBD), essential for sequence-specific DNA binding. However, common mutations at position 273, specifically from Arginine to Histidine and Cysteine, lead to a loss of function as a tumor suppressor, also called DNA contact mutations. The mutant (MT) P53 structure cannot stabilize DNA due to inadequate interaction.

Acute Psychosis as Presenting Symptoms of Vitamin B12 Deficiency: A Case Series.

Background: Vitamin B12 deficiency is a prevalent condition affecting a significant proportion of India's population, with implications for mental health. Despite its established link to psychiatric symptoms, vitamin B12 deficiency often remains underdiagnosed. The aim of this study is to highlight the association between vitamin B12 deficiency and acute psychosis, emphasizing the importance of early detection and treatment.

Identification of Novel Potential Herbal Drug Targets against Beta-Catenin in the Treatment of Oral Squamous Cell Carcinoma.

Objective: The study aims to identify potential pharmacophore models for targeting beta-catenin, a crucial protein involved in the development of oral squamous cell carcinoma (OSCC), using a combination of herbal compounds and computational approaches.

Methods: Five natural compounds namely Quercetin, Lycopene, Ovatodiolide, Karsil, and Delphinidin were selected based on their reported activity against beta-catenin. Ligand characteristics were analyzed using SwissADME to evaluate drug-likeness, lipophilicity (logP), and bioavailability.

Imaging in atypical van der knaap disease with subependymal nodular heterotopia: A case report.

Here, we discuss a rare and to our knowledge, the first case of an atypical Van der Knaap's disease in a 6-year-old boy who presented with motor difficulties, developmental delay, cognitive impairment, seizures. The objective of this report is to highlight its unusual findings on MRI including internal capsule, brainstem, cerebellum involvement; subependymal nodular heterotopia, subependymal cysts, cortical laminar necrosis along with typical findings of megalencephalic leukoencephalopathy and subcortical cysts. The study also underscores the clinical implications of this complex pathology, with emphasis on comprehensive neuroradiological evaluation for atypical presentations to guide better diagnostic and management outcomes.

Investigating Emotional Intelligence: A Cross-Sectional Study of Pune's Postgraduate Medical Scholars.

Introduction Emotional intelligence (EI), which encompasses the ability to perceive, understand, and manage emotions, is crucial for effective human interaction. In healthcare, especially in medicine, compassion and empathy are prioritized qualities associated with enhanced patient outcomes, increased patient compliance, and overall improved healthcare experiences. This study focused on postgraduate medical students to assess their EI levels and identify influencing factors.

Enhancing Drug Discovery and Patient Care through Advanced Analytics with The Power of NLP and Machine Learning in Pharmaceutical Data Interpretation.

This study delves into the transformative potential of Machine Learning (ML) and Natural Language Processing (NLP) within the pharmaceutical industry, spotlighting their significant impact on enhancing medical research methodologies and optimizing healthcare service delivery. Utilizing a vast dataset sourced from a well-established online pharmacy, this research employs sophisticated ML algorithms and cutting-edge NLP techniques to critically analyze medical descriptions and optimize recommendation systems for drug prescriptions and patient care management. Key technological integrations include BERT embeddings, which provide nuanced contextual understanding of complex medical texts, and cosine similarity measures coupled with TF-IDF vectorization to significantly enhance the precision and reliability of text-based medical recommendations.

Factors Affecting Readmission in Patients with Surgical Site Infection: A Graphical and Prediction Model-Based Approach.

Antimicrobial therapy is becoming less effective because of the rising microbial resistance. Surgical site infections (SSI) are one of the major complications that require modifications in the infection control policy for effective management. To develop a model for predicting the readmission rates post-SSI treatment and to identify prevalent microbial isolates and the respective trends in resistance patterns.

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.

Advances in diagnosis and prognosis of bacteraemia, bloodstream infection, and sepsis using machine learning: A comprehensive living literature review.

Background: Blood-related infections are a significant concern in healthcare. They can lead to serious medical complications and even death if not promptly diagnosed and treated. Throughout time, medical research has sought to identify clinical factors and strategies to improve the management of these conditions.

Clinical Profile and Outcomes of Pediatric Snakebite Envenomation: A Three-Year Retrospective Study From a Rural Tertiary Care Center in South India.

Background Snakebite envenomation remains a significant public health challenge in tropical countries, particularly affecting the pediatric population. Children are especially vulnerable because of their smaller body mass, outdoor activities, and delayed presentation to healthcare facilities. This study aimed to analyze the clinical profile, demographic patterns, and envenomation characteristics of snakebites in children aged 1-16 years presenting to a tertiary care center.