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Survival analysis of a 16-year cohort of follicular lymphoma patients receiving systemic treatment in Brazil.
Front Pharmacol
January 2025
Department of Social Pharmacy, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Introduction: Follicular lymphoma (FL) is a common type of non-Hodgkin lymphoma that is incurable but often follows an indolent course. While survival is improving thanks to advances in diagnosis, supportive care, and new therapies, understanding outcomes and their impact on overall survival is still limited. There are few studies on FL in Brazil, so this study aims to evaluate the patient's profile, morbidity and mortality treated by the Brazilian national health service (SUS) and evaluate risk factors associated with treatment failure.
View Article and Find Full Text PDFThe Effect of Coronary Artery Disease on the Prognosis of Hypertrophic Cardiomyopathy: A Multi-Center Cohort Study.
Rev Cardiovasc Med
January 2025
Department of Cardiology, Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, 610072 Chengdu, Sichuan, China.
Background: There is a shortage of patients with hypertrophic cardiomyopathy (HCM) with concurrent coronary artery disease (CAD), and the influence of CAD on the prognosis of patients with HCM is uncertain. This real-world cohort study was conducted to evaluate the prognosis of patients with patients with CAD.
Methods: This cohort study of patients with HCM was conducted from May 2003 to September 2021.
The intersection of digital health and artificial intelligence: Clearing the cloud of uncertainty.
Digit Health
January 2025
Independent Researcher, Calgary, Alberta, Canada.
Digital health (DH) and artificial intelligence (AI) in healthcare are rapidly evolving but were addressed synonymously by many healthcare authorities and practitioners. A deep understanding and clarification of these concepts are fundamental and a prerequisite for developing robust frameworks and practical guidelines to ensure the safety, efficacy, and effectiveness of DH solutions and AI-embedded technologies. Categorizing DH into technologies (DHTs) and services (DHSs) enables regulatory, HTA, and reimbursement bodies to develop category-specific frameworks and guidelines for evaluating these solutions effectively.
View Article and Find Full Text PDFComputational Study Protocol: Leveraging Synthetic Data to Validate a Benchmark Study for Differential Abundance Tests for 16S Microbiome Sequencing Data.
F1000Res
January 2025
Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Baden-Württemberg, Germany.
Background: Synthetic data's utility in benchmark studies depends on its ability to closely mimic real-world conditions and reproduce results obtained from experimental data. Building on Nearing et al.'s study (1), who assessed 14 differential abundance tests using 38 experimental 16S rRNA datasets in a case-control design, we are generating synthetic datasets that mimic the experimental data to verify their findings.
View Article and Find Full Text PDFDevelopment of maximum power point tracking algorithm based on Improved Optimized Adaptive Differential Conductance Technique for renewable energy generation.
Heliyon
January 2025
Department of Electronic Engineering, University of Nigeria, Nsukka, 410001, Enugu, Nigeria.
Maximum Power Point Tracking (MPPT) is a technique employed in photovoltaic (PV) systems to ensure that the modules transfer the maximum generated power to the load. An advanced algorithm, the Improved Optimized Adaptive Differential Conductance (IOADC), was developed by applying Kirchhoff's law within a single diode model framework. The algorithm's performance was evaluated under various solar irradiance levels of 500 W/m, 750 W/m, and 1000 W/m at a constant temperature of 298K, analyzing its impact on power generation and transfer.
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