Investigating Environmental Determinants of Hookworm Transmission using GPS Tracking and Metagenomics Technologies.

To identify potential sources of hookworm infections in a Ghanaian community of endemicity that could be targeted to interrupt transmission, we tracked the movements of infected and noninfected persons to their most frequented locations. Fifty-nine participants (29 hookworm positives and 30 negatives) wore GPS trackers for 10 consecutive days. Their movement data were captured in real time and overlaid on a community grid map.

Comparative effectiveness of physical activity interventions on cognitive functions in children and adolescents with Neurodevelopmental Disorders: a systematic review and network meta-analysis of randomized controlled trials.

Background: Physical activity (PA) interventions have been shown to yield positive effects on cognitive functions. However, it is unclear which type of PA intervention is the most effective in children and adolescents with Neurodevelopmental Disorders (NDDs). This study aimed to compare the effectiveness of different types of PA interventions on cognitive functions in children and adolescents with NDDs, with additional analyses examining intervention effects across specific NDD types including attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD).

Soluble Fms-like tyrosine kinase-1 polymorphisms associated with severe-spectrum hypertensive disorders of pregnancy.

Background: sFLT-1 has been implicated in the pathogenesis of HDP. We aimed to examine the role of maternal and fetal polymorphisms in risk of HDP and severe-spectrum disease.

Methods: Cases of HDP (143) and controls (169) from mother-baby dyads were recruited at the Los Angeles County Women's and Children's Hospital (WCH).

Evaluation of an AI-Based Voice Biomarker Tool to Detect Signals Consistent With Moderate to Severe Depression.

Purpose: Mental health screening is recommended by the US Preventive Services Task Force for all patients in areas where treatment options are available. Still, it is estimated that only 4% of primary care patients are screened for depression. The goal of this study was to evaluate the efficacy of machine learning technology (Kintsugi Voice, v1, Kintsugi Mindful Wellness, Inc) to detect and analyze voice biomarkers consistent with moderate to severe depression, potentially allowing for greater compliance with this critical primary care public health need.