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Explainable Machine Learning to Predict Treatment Response in Advanced Non-Small Cell Lung Cancer.
JCO Clin Cancer Inform
January 2025
Emory University School of Medicine, Atlanta, GA.
Purpose: Immune checkpoint inhibitors (ICIs) have demonstrated promise in the treatment of various cancers. Single-drug ICI therapy (immuno-oncology [IO] monotherapy) that targets PD-L1 is the standard of care in patients with advanced non-small cell lung cancer (NSCLC) with PD-L1 expression ≥50%. We sought to find out if a machine learning (ML) algorithm can perform better as a predictive biomarker than PD-L1 alone.
View Article and Find Full Text PDFMetagenomic Sequencing of Tomato Plants with Wilt Symptoms Allows for Strain-Level Pathogen Identification and Genome-Based Characterization.
Phytopathology
January 2025
Virginia Polytechnic Institute and State University, School of Plant and Environmental Science, Blacksburg, Virginia, United States;
Diseases that affect the vascular system or the pith are of great economic impact since they can rapidly destroy the affected plants, leading to complete loss in production. Fast and precise identification is thus important to inform containment and management, but many identification methods are slow because they are culture-dependent and they do not reach strain resolution. Here we used culture-independent long-read metagenomic sequencing of DNA extracted directly from stems of two tomato samples that displayed wilt symptoms.
View Article and Find Full Text PDFLeaving no one behind: Gender inequality, economic inequality, and organizational entrenchment of nurses in remote areas of Egypt.
Int Nurs Rev
March 2025
Psychiatric and Mental Health Nursing Department, Faculty of Nursing, Alexandria University, Alexandria City, Egypt.
Aim: This study investigates the association between gender inequality, economic inequality, and organizational entrenchment among nurses serving in remote areas.
Background: Egypt ranks low in gender equity across the Middle East and North Africa (MENA) region. In the culture of nursing, gender-based discrimination is among the factors that can further hamper nurses' economic advancement and adversely affect organizational entrenchment.
Global, regional, and national prevalence and trends of infertility among individuals of reproductive age (15-49 years) from 1990 to 2021, with projections to 2040.
Hum Reprod
January 2025
Clinical Experimental Center, Jiangmen Engineering Technology Research Center of Clinical Biobank and Translational Research, Jiangmen Central Hospital, Jiangmen, China.
Study Question: What is the prevalence and trend of infertility among individuals of childbearing age at global, regional, and national levels by sex and socio-demographic index (SDI) across 21 regions and 204 countries and territories?
Summary Answer: Our findings reveal a growing prevalence of infertility among individuals aged 15-49 years worldwide from 1990 to 2021, with an expected continued increase through 2040.
What Is Known Already: Infertility is a persistent global reproductive health issue, leading to significant societal and health consequences. No study has specifically described the current prevalence of infertility, its secular trend, or the variations between regions or countries with different SDI levels.
Digital Health Technology Research Funded by the National Institutes of Health.
JAMA Netw Open
January 2025
National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland.
Importance: Digital health in biomedical research and its expanding list of potential clinical applications are rapidly evolving. A combination of new digital health technologies (DHTs), novel uses of existing DHTs through artificial intelligence- and machine learning-based algorithms, and improved integration and analysis of data from multiple sources has enabled broader use and delivery of these tools for research and health care purposes. The aim of this study was to assess the growth and overall trajectory of DHT funding through a National Institutes of Health (NIH)-wide grant portfolio analysis.
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