INTRODUCTION: Chronic kidney disease (CKD) is a critical comorbidity in heart failure with preserved ejection fraction (HFpEF), often linked to congestion due to elevated filling pressures. However, the role of subtle systolic dysfunction in CKD remains to be elucidated. This study aimed to investigate t...
OBJECTIVES: To identify and describe the profile of potential transthyretin cardiac amyloidosis (ATTR-CM) cases in the Brazilian public health system (SUS), using a predictive machine learning (ML) model.
METHODS: This was a retrospective descriptive database study that aimed to estimate the frequency of...
O câncer do colo do útero é uma das principais causas de mortalidade entre mulheres no Brasil, sendo o papilomavírus humano (HPV) o principal fator associado. A detecção precoce, especialmente pela citologia cervical (exame de Papanicolaou), é essencial para prevenir a progressão de lesões malig...
Introduction: Metabolomics has emerged as a powerful tool in providing readouts of early disease states before clinical manifestation. Here we used the predictive power of Unsupervised Hierarchical Clustering Analysis (UHCA) and Automated Machine Learning (AutoML) algorithms to identify serum metabolic p...
Abstract We aim to provide a critical appraisal of basic concepts underlying signal recording and processing technologies applied for (I) atrial fibrillation (AF) mapping to unravel AF mechanisms and/or identifying target sites for AF therapy and (ii) AF detection, to optimize usage of technologies, stim...
