The aim of this work was to collect and compare data from different published reports which focused on the description of the influence of different electrochemical setups for the assessment of magnesium corrosion. Based on this, a comparison with our own results, obtained for LAE 442 and AZ 31, was made and discussed. As the collection of data has shown, the reported inconsistencies between in vivo and electrochemical data depend greatly on the electrochemical medium used, on the alloy composition and on surface preparation. Nevertheless, these differences also exist when comparing different in vitro results using different methodologies and even different Mg alloys, and need therefore to be discussed more thoroughly in the future. The simulation of transport conditions of the in vivo interface should become a focus of research interest in order to gain a better understanding of the influence of connecting processes on the degradation of the biomaterials.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.actbio.2009.12.048DOI Listing

Publication Analysis

Top Keywords

critical discussion
4
discussion corrosion
4
corrosion studies
4
studies alloys
4
alloys biomaterial
4
biomaterial applications
4
applications aim
4
aim work
4
work collect
4
collect compare
4

Similar Publications

As multiple imaging modalities cannot reliably diagnose cardiac tumors, the molecular approach offers alternative ways to detect rare ones. One such molecular approach is CRISPR-based diagnostics (CRISPR-Dx). CRISPR-Dx enables visual readout, portable diagnostics, and rapid and multiplex detection of nucleic acids such as microRNA (miRNA).

View Article and Find Full Text PDF

The pleiotropic effects of PCSK9 in cardiovascular diseases beyond cholesterol metabolism.

Acta Physiol (Oxf)

February 2025

Henan Key Laboratory of Medical Tissue Regeneration, Xinxiang Medical University, Xinxiang, China.

Cardiovascular diseases (CVD) are the leading cause of morbidity and mortality globally, with elevated low-density lipoprotein cholesterol (LDL-C) levels being a major risk factor. Proprotein convertase subtilisin/kexin type 9 (PCSK9) plays a critical role in regulating LDL-C levels by promoting the degradation of hepatic low-density lipoprotein receptors (LDLR) responsible for clearing LDL-C from the circulation. PCSK9 inhibitors are novel lipid-modifying agents that have demonstrated remarkable efficacy in reducing plasma LDL-C levels and decreasing the incidence of CVD.

View Article and Find Full Text PDF

Cancer immunotherapy, which leverages immune system components to treat malignancies, has emerged as a cornerstone of contemporary therapeutic strategies. Yet, critical concerns about the efficacy and safety of cancer immunotherapies remain formidable. Nanotechnology, especially polymeric nanoparticles (PNPs), offers unparalleled flexibility in manipulation-from the chemical composition and physical properties to the precision control of nanoassemblies.

View Article and Find Full Text PDF

Introduction: Nurses must possess the capacity for compassionate care and exhibit empathy to promote culturally competent care. This research investigated the mediating role of compassion in the relationship between ethnocultural empathy and intercultural sensitivity among nurses.

Method: The study was conducted at a hospital that provides health care services to refugees.

View Article and Find Full Text PDF

Artificial Intelligence in Sepsis Management: An Overview for Clinicians.

J Clin Med

January 2025

Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126 Parma, Italy.

Sepsis is one of the leading causes of mortality in hospital settings, and early diagnosis is a crucial challenge to improve clinical outcomes. Artificial intelligence (AI) is emerging as a valuable resource to address this challenge, with numerous investigations exploring its application to predict and diagnose sepsis early, as well as personalizing its treatment. Machine learning (ML) models are able to use clinical data collected from hospital Electronic Health Records or continuous monitoring to predict patients at risk of sepsis hours before the onset of symptoms.

View Article and Find Full Text PDF

Want 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!