[Analysis of the performance of dialysis centers in referring and enrolling patients into the pre-kidney transplant waiting list in Minas Gerais State, Brazil, 2015 to 2019].

Despite the relevance of kidney transplantation, the supply of organs and the process for inclusion in its waiting list still represent obstacles. This study aimed to analyze the performance of dialysis centers in referring patients for pre-kidney transplant evaluation and inclusion in the waiting list of incident dialysis patients from 2015 to 2019 in the state of Minas Gerais, Brazil. This retrospective cohort study sampled 23,297 records of patients who underwent dialysis therapy in public or philanthropic institutions or who had their treatment funded by the Brazilian Unified National Health System in private clinics.

SURVEY OF Salmonella spp., Escherichia coli and Staphylococcus aureus IN ARDEIDS: INVESTIGATION OF POTENTIAL RESERVOIRS.

Ardeids are wild birds well adapted to urban and periurban environments. However, the association of wildlife with humans and livestock increases the chances of transmission of microorganisms between wild animals, domestic animals and humans. The present study aimed to investigate the occurrence of Salmonella spp.

Insights into the representativeness of biodiversity assessment in large reservoir through eDNA metabarcoding.

Monitoring biodiversity on a large scale, such as in hydropower reservoirs, poses scientific challenges. Conventional methods such as passive fishing gear are prone to various biases, while the utilization of environmental DNA (eDNA) metabarcoding has been restricted. Most eDNA studies have primarily focused on replicating results from traditional methods, which themselves have limitations regarding representativeness and bias.

Forensic sex classification by convolutional neural network approach by VGG16 model: accuracy, precision and sensitivity.

Introduction: In the reconstructive phase of medico-legal human identification, the sex estimation is crucial in the reconstruction of the biological profile and can be applied both in identifying victims of mass disasters and in the autopsy room. Due to the inherent subjectivity associated with traditional methods, artificial intelligence, specifically, convolutional neural networks (CNN) may present a competitive option.

Objectives: This study evaluates the reliability of VGG16 model as an accurate forensic sex prediction algorithm and its performance using orthopantomography (OPGs).