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Gynecol Oncol
January 2025
Departments of Internal Medicine and Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States of America; Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, United States of America.
Purpose: We observed that the tumor microenvironment (TME) in metastatic epithelial ovarian cancer (EOC) and in other solid tumors can reprogram normal neutrophils to acquire a complement-dependent suppressor phenotype characterized by inhibition of stimulated T cell activation. This study aims to evaluate whether serum markers of neutrophil activation and complement at diagnosis of EOC would be associated with clinical outcomes.
Experimental Design: We conducted a two-center prospective study of patients with newly diagnosed EOC (N = 188).
Afr J Reprod Health
December 2024
Department of Nursing Obstetrics and Gynaecology Nursing Department, Istanbul-Turkey.
This was a randomised controlled study to investigate the effect of web-based breastfeeding education given to primiparous pregnant women on postpartum breastfeeding. The study included a total of 120 primiparous pregnant women, including control group (n:60) and experimental group (n:60). The study was conducted in a district in northern Turkey.
View Article and Find Full Text PDFRes 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 PDFJ Chem Inf Model
January 2025
Institute of Chemistry, Technische Universität Berlin, Straße des 17. Juni 135, Berlin 10623, Germany.
Machine learning (ML) is a powerful tool for the automated data analysis of molecular dynamics (MD) simulations. Recent studies showed that ML models can be used to identify protein-ligand unbinding pathways and understand the underlying mechanism. To expedite the examination of MD simulations, we constructed PathInHydro, a set of supervised ML models capable of automatically assigning unbinding pathways for the dissociation of gas molecules from [NiFe] hydrogenases, using the unbinding trajectories of CO and H from [NiFe] hydrogenase as a training set.
View Article and Find Full Text PDFHealth Serv Res
January 2025
Department of Health Policy, Management and Behavior School of Public Health, University at Albany, State University of New York, Rensselaer, New York, USA.
Objective: To examine the association of Massachusetts Medicaid Accountable Care Organization (ACO) implementation with changes in mental health care utilization in the postpartum period.
Study Setting And Design: We examine care for people with a birth covered by Medicaid or private insurance. We used a difference-in-differences design to compare differences before and after Medicaid ACO implementation for those with Medicaid versus those with private insurance.
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