Silica-exposed patients with silicosis show shorter telomeres than do unexposed individuals: a pilot study in a population in southeastern Brazil.

Objective: Silicosis is a pneumoconiosis characterized by fibrosis of the lung parenchyma caused by the inhalation of silica particles. Silica dust inhalation is associated with inflammation and induction of oxidative stress in the lungs. This oxidative stress affects telomeres, which are short tandem DNA repeats that cap the end of linear chromosomes.

Contribution of Video Directly Observed Therapy (VDOT) to Tuberculosis Treatment in Brazil.

Directly Observed Treatment (DOT) involves the administration of medication and in-person monitoring by a healthcare team alongside the patient to improve adherence to tuberculosis (TB) treatment. Implementing DOT requires healthcare professionals, transportation, time dedication, and presence at the patient's residence. Meeting all these conditions is not always possible to address the high demand of TB patients who would benefit from this supervision.

Optimizing drought tolerance in cassava through genomic selection.

The complexity of selecting for drought tolerance in cassava, influenced by multiple factors, demands innovative approaches to plant selection. This study aimed to identify cassava clones with tolerance to water stress by employing truncated selection and selection based on genomic values for population improvement and genotype evaluation . The Best Linear Unbiased Predictions (BLUPs), Genomic Estimated Breeding Values (GEBVs), and Genomic Estimated Genotypic Values (GETGVs) were obtained based on different prediction models via genomic selection.

Development and Content Analysis Protocol for Evaluating Artificial Intelligence in Drug-Related Information.

Introduction: Artificial intelligence (AI) has significant transformative potential across various sectors, particularly in health care. This study aims to develop a protocol for the content analysis of a method designed to assess AI applications in drug-related information, specifically focusing on contraindications, adverse reactions, and drug interactions. By addressing existing challenges, this preliminary research seeks to enhance the safe and reliable integration of AI into healthcare practices.