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Using system dynamics modeling approach to strengthen health systems to combat cancer: a systematic literature review.
J Med Econ
January 2025
UNESCO-TWAS, The World Academy of Sciences, Trieste, Italy.
Aim: Dynamic cancer control is a current health system priority, yet methods for achieving it are lacking. This study aims to review the application of system dynamics modeling (SDM) on cancer control and evaluate the research quality.
Methods: Articles were searched in PubMed, Web of Science, and Scopus from the inception of the study to November 15th, 2023.
Meals, Mealtimes and moments for learning: Assessment of quality in Early Childhood Education and Care services.
Public Health Nutr
January 2025
Queensland Brain Institute, The University of Queensland, 79 Upland Road, St Lucia, QLD Australia 4067.
Objective: Early education and care (ECEC) is part of the everyday life of most children in developed economies presenting exceptional opportunity to support nutrition and ongoing food preferences. Yet, the degree to which such opportunity is captured in policy-driven assessment and quality ratings of ECEC services is unknown.
Design: Abductive thematic analysis was conducted, guided by key domains of knowledge in nutrition literature and examining identified themes within these domains.
Blood plasma proteomic markers of Alzheimer's disease, current status and application prospects.
Expert Rev Proteomics
January 2025
Skolkovo Institute of Science and Technology, Moscow, Russian Federation.
Introduction: Identifying early risks of developing Alzheimer's disease (AD) is a major challenge as the number of patients with AD steadily increases and requires innovative solutions. Current molecular diagnostic modalities, such as cerebrospinal fluid (CSF) testing and positron emission tomography (PET) imaging, exhibit limitations in their applicability for large-scale screening. In recent years, there has been a marked shift toward the development of blood plasma-based diagnostic tests, which offer a more accessible and clinically viable alternative for widespread use.
View Article and Find Full Text PDFRational design facilitates the improvement of glucose tolerance and catalytic properties of a β-glucosidase from Acetivibrio thermocellus.
FEBS J
January 2025
Department of Biosciences and Bioengineering, IIT Bombay, Mumbai, India.
Cellulases are an ensemble of enzymes that hydrolyze cellulose chains into fermentable glucose and hence are widely used in bioethanol production. The last enzyme of the cellulose degradation pathway, β-glucosidase, is inhibited by its product, glucose. The product inhibition by glucose hinders cellulose hydrolysis limiting the saccharification during bioethanol production.
View Article and Find Full Text PDFThe role of artificial intelligence in preoperative planning for Total Hip Arthroplasty: a systematic review.
Front Artif Intell
December 2024
Department of Orthopedic Hip and Knee Surgery, Rasoul-e-Akram Hospital, Iran University of Medical Sciences, Tehran, Iran.
Background: Total Hip Arthroplasty (THA) is a transformative surgical intervention for hip joint disorders, necessitating meticulous preoperative planning for optimal outcomes. With the emergence of Artificial Intelligence (AI), preoperative planning paradigms have evolved, leveraging AI algorithms for enhanced decision support and imaging analysis. This systematic review aims to comprehensively evaluate the role of AI in THA preoperative planning, synthesizing evidence from studies exploring various AI techniques and their applications.
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