In 2011, the IFCC Task Force on Clinical Applications of Cardiac Bio-Markers (TF-CB) was formed, with the purpose of providing evidence based educational materials to assist all biomarker users, i.e. laboratorians, clinicians, researchers, in-vitro diagnostics and regulatory agencies, in better understanding important analytical and clinical aspects of established and novel cardiac biomarkers for use in clinical practice and research. The goal of the task force was to promulgate the same information conjointly through the in vitro diagnostic industry to the laboratory, emergency department and cardiologists. The initial undertaking of the TF-CB, which is comprised of laboratory medicine scientists, emergency medicine physicians and cardiologists, was to address two key issues pertaining to implementing high-sensitivity cardiac troponin (hs-cTn) assays in clinical practice: the 99th percentile upper reference limit (URL) and calculating serial change values in accord with the Universal Definition of AMI. The highlights of both concepts from IFCC statements are described.
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http://dx.doi.org/10.1016/j.clinbiochem.2014.08.021 | DOI Listing |
J Am Chem Soc
January 2025
Key Laboratory of Colloid and Interface Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shandong University, Jinan 250100, P. R. China.
Chirality epitomizes the sophistication of chemistry, representing some of its most remarkable achievements. Yet, the precise synthesis of chiral structures from achiral building blocks remains a profound and enduring challenge in synthetic chemistry and materials science. Here, we demonstrate that achiral colloidal nanocrystals, including Au and Ag nanocrystals, can assemble into long-range-ordered helical assemblies with the assistance of chiral molecules.
View Article and Find Full Text PDFMacromol Biosci
January 2025
Universidade Estadual de Campinas (UNICAMP), School of Chemical Engineering (FEQ), Albert Einstein Avenue, 500, Campinas, São Paulo, 13083-852, Brazil.
Annually, thousands of individuals suffer from skin injuries resulting from trauma, surgeries, or diabetes. Inadequate wound treatment can delay healing and increase the risk of severe infections. In this context, a promising synthetic polymer with potent antimicrobial properties, Poly{2-[(methacryloyloxy)ethyl]trimethylammonium chloride} (PMETAC), is synthesized and crosslinked with N,N'-Methylenebis(acrylamide) (BIS) in the presence of Chitosan (CH), a natural, biocompatible polysaccharide that promotes cell regeneration and provides additional beneficial properties.
View Article and Find Full Text PDFFolia Morphol (Warsz)
January 2025
Tekirdağ Namık Kemal University School of MedicineTekirdağ, Türkiye.
Background: Distance education emerged as a potential solution to enhance access, standardize content, and facilitate updates. However, student perceptions varied widely. The COVID-19 pandemic prompted a rapid shift towards distance education in anatomy, presenting challenges and opportunities for medical students globally.
View Article and Find Full Text PDFEClinicalMedicine
October 2024
Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Unity Health Toronto, Toronto, ON M5B 1W8, Canada.
Background: Use of health applications (apps) to support healthy lifestyles has intensified. Different app features may support effectiveness, including gamification defined as the use of game elements in a non-game situation. Whether health apps with gamification can impact behaviour change and cardiometabolic risk factors remains unknown.
View Article and Find Full Text PDFNatl Sci Rev
January 2025
Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China.
The high thermopower of ionic thermoelectric (-TE) materials holds promise for miniaturized waste-heat recovery devices and thermal sensors. However, progress is hampered by laborious trial-and-error experimentations, which lack theoretical underpinning. Herein, by introducing the simplified molecular-input line-entry system, we have addressed the challenge posed by the inconsistency of -TE material types, and present a machine learning model that evaluates the Seebeck coefficient with an of 0.
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