Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1097/ACM.0b013e3181e8dd38 | DOI Listing |
Res Nurs Health
January 2025
College of Nursing, The University of Tennessee, Knoxville, Tennessee, USA.
The social determinants of health (SDOH) have been recognized as an important contributor to an individual's health status. A valid and reliable instrument is needed for researchers and clinicians to measure SDOH. However, there is considerable variability in the screening methodologies, as well as a lack of standardization in definitions and methods for capturing and reporting SDOH data for both electronic health record software vendors and national experts on SDOH.
View Article and Find Full Text PDFPest Manag Sci
January 2025
Key Laboratory of Plant Protection Resources and Pest Management of the Ministry of Education, Key Laboratory of Integrated Pest Management on the Loess Plateau of Ministry of Agriculture and Rural Affairs, College of Plant Protection, Northwest A&F University, Yangling, China.
Background: The function of some testis-specific genes (TSGs) in model insects have been studied, but their function in non-model insects remains largely unexplored. In the present study, we identified several TSGs in the fall armyworm (FAW), a significant agricultural pest, through comparative transcriptomic analysis. A testis-specific gene cluster (TSGC) comprising multiple functional genes and long non-coding RNAs was found.
View Article and Find Full Text PDFPatients with pregnancy-related aortic dissections should be transferred to high-volume aortic centers for management. Malperfusion syndromes from acute type A aortic dissections appear to have better outcomes with thoracic endovascular repair before definitive surgical repair.
View Article and Find Full Text PDFHealth Sci Rep
January 2025
Department of Microbiology Dr D. Y. Patil Medical College, Hospital and Research Centre, Dr D. Y. Patil Vidyapeeth (Deemed-to-be-University) Pune Maharashtra India.
Background And Aims: Artificial Intelligence (AI) beginning to integrate in healthcare, is ushering in a transformative era, impacting diagnostics, altering personalized treatment, and significantly improving operational efficiency. The study aims to describe AI in healthcare, including important technologies like robotics, machine learning (ML), deep learning (DL), and natural language processing (NLP), and to investigate how these technologies are used in patient interaction, predictive analytics, and remote monitoring. The goal of this review is to present a thorough analysis of AI's effects on healthcare while providing stakeholders with a road map for navigating this changing environment.
View Article and Find Full Text PDFJ Gen Intern Med
January 2025
Department of Medicine, Alpert Medical School at Brown University, Providence, RI, USA.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!