Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1353/cpr.2023.a900197 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Zinc oxide nanoparticle-embedded tannic acid/chitosan-based sponge: A highly absorbent hemostatic agent with enhanced antimicrobial activity.
Int J Biol Macromol
January 2025
Nanotechnology Research Center, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran 1416634793, Iran; Wound Care Solution, Nano Fanavaran Narin Teb Co., Tehran, P.O. Box 19177-53531, Iran; Physical Chemistry I, Department of Chemistry and Biology & Research Center of Micro and Nanochemistry and Engineering (Cμ), University of Siegen, 57076 Siegen, Germany. Electronic address:
This study reports the development of a highly absorbent Chitosan (CS)/Tannic Acid (TA) sponge, synthesized via chemical cross-linking with Epichlorohydrin (ECH) and integrated with zinc oxide nanoparticles (ZnO NPs) as a novel hemostatic anti-infection agent. The chemical properties of the sponges were characterized using Fourier-transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD), thermogravimetric analysis (TGA), and zeta potential measurements. Morphological and elemental analyses conducted through scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDAX) revealed a uniform distribution of ZnO NPs, with particle sizes below 20 nm.
View Article and Find Full Text PDFAI for all: bridging data gaps in machine learning and health.
Transl Behav Med
January 2025
Slone Epidemiology Center at Boston University, 72 E Concord St, Boston, MA, USA.
Artificial intelligence (AI) and its subset, machine learning, have tremendous potential to transform health care, medicine, and population health through improved diagnoses, treatments, and patient care. However, the effectiveness of these technologies hinges on the quality and diversity of the data used to train them. Many datasets currently used in machine learning are inherently biased and lack diversity, leading to inaccurate predictions that may perpetuate existing health disparities.
View Article and Find Full Text PDFUnmet Social Needs of Older Adults With Mobility Limitations Following Inpatient Rehabilitation Discharge in Nigeria: A Qualitative Narrative Inquiry Study.
J Geriatr Phys Ther
January 2025
Emerging Researchers & Professionals in Aging-African Network, Nigeria & Canada.
Background And Purpose: Approximately, 30% to 60% of older adults experience functional decline following hospitalization, which has implications for their ability to meet social needs after discharge. Exploring the unmet social needs of older adults following discharge is warranted to rethink the elements of hospital discharge in low-resource countries. This study explored the unmet social needs of older adults with mobility limitations following discharge from an inpatient rehabilitation unit in a state hospital in Northern Nigeria.
View Article and Find Full Text PDFBackground Incidental gallbladder carcinoma (IGBC) remains a significant clinical challenge, with its diagnosis often delayed due to the asymptomatic nature of the disease and its incidental discovery post-cholecystectomy. This study's aim is to calculate incidence in a high-risk, region-specific (North Indian) population and also to provide novel insights into clinical presentation as well as macroscopic and histopathological features of IGBC. Material and methods This retrospective observational study spanned four years (August 2013 to July 2016) and included a total of 3096 cases.
View Article and Find Full Text PDFBridging Practice and Research: Differentiating Quality Improvement, Quality Assurance, and Quality Improvement Research in a Learning Health System.
Eur J Cardiovasc Nurs
January 2025
Centre for Quality & Patient Safety in the Institute for Health Transformation, School of Nursing & Midwifery, Deakin University, Geelong, Australia.
Evidence-based practice integrates research into clinical care to enhance patient outcomes, yet gaps persist in translating evidence into practice. Learning health systems (LHS) address these gaps by embedding knowledge generation within healthcare delivery. These systems use healthcare information to improve clinical practice and the value, quality and efficiency of the systems providing healthcare services.
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!