Artificial intelligence (AI) has the potential to standardize and automate important aspects of fertility treatment, improving clinical outcomes. One promising application of AI in the fertility clinic is the use of machine learning (ML) tools to assess embryos for transfer. The successful clinical implementation of these tools in ways that do not erode consumer trust requires an awareness of the ethical issues that these technologies raise, and the development of strategies to manage any ethical concerns.
View Article and Find Full Text PDFBackground: Few studies have examined the association between 24-hour movement behaviors and health in children in their first 2 years of primary school. This study aimed to examine how 24-hour movement behavior compositions at age 6 were related to body mass index (BMI), waist circumference, and internalizing and externalizing symptoms at ages 6 and 10.
Methods: A subsample of 361 children from the HealthNuts cohort study with valid accelerometer data was included in the cross-sectional analysis.
Background: The role of air pollution in eczema and food allergy development remains understudied.
Objective: We aimed to assess whether exposure to air pollution is associated with eczema and food allergies in the first 10 years of life.
Methods: HealthNuts recruited a population-based sample of 1-year-old infants who were followed up at ages 4, 6, and 10 years.
World Allergy Organ J
October 2024
J Allergy Clin Immunol Pract
December 2024