Enhancing fake news detection with transformer-based deep learning: A multidisciplinary approach.

The widespread dissemination of fake news presents a critical challenge to the integrity of digital information and erodes public trust. This urgent problem necessitates the development of sophisticated and reliable automated detection mechanisms. This study addresses this gap by proposing a robust fake news detection framework centred on a transformer-based architecture.

Recurrent Malignant Phyllodes Tumor of the Breast: A Case Report.

Malignant phyllodes tumors of the breast are rare fibroepithelial neoplasms with aggressive behavior and high recurrence rates. They pose significant diagnostic and therapeutic challenges due to their overlap with other malignancies, necessitating accurate diagnosis and a tailored treatment approach to improve patient outcomes. A 29-year-old Asian female initially underwent a lumpectomy for a right breast mass diagnosed as a phyllodes tumor on histopathology.

AI-augmented prediction of high-risk PINK1 variants associated with Parkinson's disease: integrating multilayered bioinformatics, MD simulation, and deep learning.

Parkinson's disease is a prevalent neurodegenerative disease, in which genetic mutations in many genes play an important role in its pathogenesis. Among these, a mutation in the PINK1 gene, a mitochondrial-targeted serine/threonine putative kinase 1 that protects cells from stress-induced mitochondrial dysfunction, is implicated in autosomal recessive Parkinsonism. However, the exact etiology is not well understood.

Prevalence of White Coat Hypertension Among Surgical Patients at a Tertiary Care Hospital: A Cross-Sectional Observational Study.

Background The prevalence of white coat hypertension (WCH) among surgical patients is a significant concern. WCH refers to a condition where individuals with normal blood pressure at home exhibit elevated readings when measured at a medical facility, affecting clinical decision-making processes. The aim is to determine the prevalence of WCH among patients undergoing elective surgery at a tertiary care hospital and to evaluate its association with demographic factors, surgical type, and perioperative waiting time.