Prediction of tuberculosis clusters in the riverine municipalities of the Brazilian Amazon with machine learning.

Objective: Tuberculosis (TB) is the second most deadly infectious disease globally, posing a significant burden in Brazil and its Amazonian region. This study focused on the "riverine municipalities" and hypothesizes the presence of TB clusters in the area. We also aimed to train a machine learning model to differentiate municipalities classified as hot spots vs.

Studies with Wnt genes and nonsyndromic cleft lip and palate.

Background: Clefts of the lip and/or palate (cleft lip/palate) are notable for their complex etiology. The WNT pathway regulates multiple developmental processes including craniofacial development and may play a role in cleft lip/palate and other defects of craniofacial development such as tooth agenesis. Variations in WNT genes have been recently associated with cleft lip/palate in humans.

Side of dental anomalies and taurodontism as potential clinical markers for cleft subphenotypes.

Objective: The aim of this work was to investigate in more detail the dental clinical features that could serve to define subphenotypes of oral clefts.

Design: Dental records of oral cleft subjects from a group of 164 cases were examined, and 157 were included in this study. In addition, 65 families with two or more siblings born with clefts and 30 control families were evaluated to determine whether dental phenotypes were sporadic.