Frequency and Predictors of Diabetes Mellitus in Smear-Positive Pulmonary Tuberculosis Patients: A Cross-Sectional Study.

Introduction Tuberculosis (TB) is an infectious disease caused by . Various studies have established an association between diabetes mellitus (DM) and pulmonary TB. This study describes the prevalence of DM and its predictors in smear-positive TB patients.

Machine Learning Algorithm-Based Prediction of Diabetes Among Female Population Using PIMA Dataset.

: Diabetes is a metabolic disorder characterized by increased blood sugar levels. Early detection of diabetes could help individuals to manage and delay the progression of this disorder effectively. Machine learning (ML) methods are important in forecasting the progression and diagnosis of different medical problems with better accuracy.

Complete mitochondrial genomes of and biting midge vectors of Bluetongue Virus.

Biting midges ( spp.) are important vectors of several insect borne arboviruses but are underrepresented in terms of availability of high-resolution genomic resources. We assembled and annotated complete mitochondrial genomes for two species, namely and which are proven vectors for Bluetongue Virus (BTV).

Executive Summary of the American Radium Society Appropriate Use Criteria: Regional Nodal Irradiation for Breast Cancer.

Objectives: Recent literature has provided additional data to further individualize treatment recommendations on regional nodal irradiation (RNI) patient selection and delivery techniques, but controversies surrounding optimal RNI utilization remain, including radiation technique, modality selection, and internal mammary lymph node (IMN) inclusion. The American Radium Society (ARS) Breast Appropriate Use Criteria (AUC) Committee performed a systematic review and developed a consensus guideline to summarize recent data and provide evidence-based recommendations.

Methods: A multidisciplinary panel comprised of 15 members representing radiation oncologists, medical oncologists, and surgical oncologists specializing in the treatment of breast cancer conducted an analysis of the medical literature from January 1, 2011 to April 1, 2024.