Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/S2468-2667(18)30235-4 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Heavy metal(loid)s accumulation and human health risk assessment in wheat after long-term application of various urban and rural organic fertilizers.
Sci Total Environ
January 2025
Institute of Plant Nutrition, Resources and Environment, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China. Electronic address:
Composting urban and rural wastes into organic fertilizers for land application is considered the best way to dispose of and recycle waste resources. However, there are some concerns about the long-term effects of applying various organic fertilizers on soils, food safety, and health risks derived from heavy metal(loid)s (HMs). A long-term field experiment was conducted to evaluate the effects of continuous application of chicken manure compost (CM), sewage sludge compost (SSC), and domestic waste compost (DWC) for wheat on the accumulation, transfer, and health risks of HMs.
View Article and Find Full Text PDFImpact of water, sanitation, and hygiene indicators on enteric viral pathogens among under-5 children in low resource settings.
Sci Total Environ
January 2025
Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
Poor water, sanitation, and hygiene (WASH) are the primary risks of exposure to enteric viral infection. Our study aimed to describe the role of WASH conditions and practices as risk factors for enteric viral infections in children under 5. Literature on the risk factors associated with all-cause diarrhea masks the taxa-specific drivers of diarrhea from specific pathogens, limiting the application of relevant control strategies.
View Article and Find Full Text PDFAssessing the feasibility and external validity of natural language processing-extracted data for advanced lung cancer patients.
Lung Cancer
January 2025
Dept. of Medical Oncology, Princess Margaret Cancer Center, Toronto, ON, Canada.
Background: Manual extraction of real-world clinical data for research can be time-consuming and prone to error. We assessed the feasibility of using natural language processing (NLP), an AI technique, to automate data extraction for patients with advanced lung cancer (aLC). We assessed the external validity of our NLP-extracted data by comparing our findings to those reported in the literature.
View Article and Find Full Text PDFIdentification of key gene signatures for predicting chemo-immunotherapy efficacy in extensive-stage small-cell lung cancer using machine learning.
Lung Cancer
January 2025
Internal Medicine III, Wakayama Medical University, Wakayama, Japan.
Objectives: The lack of definitive biomarkers presents a significant challenge for chemo-immunotherapy in extensive-stage small-cell lung cancer (ES-SCLC). We aimed to identify key genes associated with chemo-immunotherapy efficacy in ES-SCLC through comprehensive gene expression analysis using machine learning (ML).
Methods: A prospective multicenter cohort of patients with ES-SCLC who received first-line chemo-immunotherapy was analyzed.
The utility of multiple assessments in infancy and toddlerhood to predict middle childhood ADHD symptoms: Temperamental, behavioral, and genetic contributions.
Infant Behav Dev
January 2025
Department of Psychology, Arizona State University, USA.
Background: Early intervention is effective for reducing ADHD symptoms and related impairments, yet methods of identifying young children in need of services are lacking. Most early predictors of ADHD previously identified are of limited clinical utility. This study examines several theoretically relevant predictors of ADHD in infancy and toddlerhood and whether assessment at multiple time points improves prediction.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!