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Noninvasive prediction of coronary artery disease severity: Comparative analysis of electrocardiographic findings and risk factors with SYNTAX and Gensini score.
Sci Prog
January 2025
Yazd Cardiovascular Research Center, Non-communicable Diseases Research Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Objective: Coronary artery disease (CAD) remains a significant global health burden, characterized by the narrowing or blockage of coronary arteries. Treatment decisions are often guided by angiography-based scoring systems, such as the Synergy Between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery (SYNTAX) and Gensini scores, although these require invasive procedures. This study explores the potential of electrocardiography (ECG) as a noninvasive diagnostic tool for predicting CAD severity, alongside traditional risk factors.
View Article and Find Full Text PDFTaking a partnership approach to embed physical activity in local policy and practice: a Bradford District case study.
Int J Behav Nutr Phys Act
January 2025
Faculty of Health Studies, University of Bradford, Richmond Road, Bradford, BD7 1DP, UK.
Background: Supportive policy is an important component of a whole-systems approach to increasing physical activity and reducing inequalities. There is a growing body of literature surrounding the design and effectiveness of national policy approaches to physical activity, but evidence related to local-level approaches is lacking. The aim of this study was to examine 'what works', and identify factors underpinning change, focused on work to embed physical activity in local policy and practice in Bradford, UK.
View Article and Find Full Text PDFCyclic Peptide MV6, an Aminoglycoside Efficacy Enhancer Against .
Antibiotics (Basel)
December 2024
Barcelona Institute for Global Health (ISGlobal), 08036 Barcelona, Spain.
: is a globally emerging pathogen with widespread antimicrobial resistance driven by multiple mechanisms, such as altered expression of efflux pumps like AdeABC, placing it as a priority for research. Driven by the lack of new treatments, alternative approaches are being explored to combat its infections, among which efficacy-enhancing adjuvants can be found. This study presents and characterizes MV6, a synthetic cyclic peptide that boosts aminoglycoside efficacy.
View Article and Find Full Text PDFA novel multi-level 3D pose estimation framework for gait detection of Parkinson's disease using monocular video.
Front Bioeng Biotechnol
December 2024
Department of Rehabilitation Medicine, University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Introduction: Parkinson's disease (PD) is characterized by muscle stiffness, bradykinesia, and balance disorders, significantly impairing the quality of life for affected patients. While motion pose estimation and gait analysis can aid in early diagnosis and timely intervention, clinical practice currently lacks objective and accurate tools for gait analysis.
Methods: This study proposes a multi-level 3D pose estimation framework for PD patients, integrating monocular video with Transformer and Graph Convolutional Network (GCN) techniques.
Aligning corporate social responsibility with artificial intelligence in healthcare in the context of the post-COVID-19 recovery: a viewpoint.
J Health Organ Manag
January 2025
University of Malta, Msida, Malta.
Purpose: This study explores how corporate social responsibility (CSR) and artificial intelligence (AI) can be combined in the healthcare industry during the post-COVID-19 recovery phase. The aim is to showcase how this fusion can help tackle healthcare inequalities, enhance accessibility and support long-term sustainability.
Design/methodology/approach: Adopting a viewpoint approach, the study leverages existing literature and case studies to analyze the intersection of CSR and AI.
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