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Echocardiographic phenotypes of diabetic myocardial disorder: evolution over 15 months follow-up in the ARISE-HF trial.
Cardiovasc Diabetol
January 2025
Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Background: Diabetic myocardial disorder (DbMD, evidenced by abnormal echocardiography or cardiac biomarkers) is a form of stage B heart failure (SBHF) at high risk for progression to overt HF. SBHF is defined by abnormal LV morphology and function and/or abnormal cardiac biomarker concentrations.
Objective: To compare the evolution of four DbMD groups based on biomarkers alone, systolic and diastolic dysfunction alone, or their combination.
Mindfulness-based interventions for improvement of lifestyle behaviors and body mass index in children with overweight or obesity: a systematic review and meta-analysis.
Eur J Pediatr
January 2025
Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, 100191, China.
Unlabelled: This study aimed to synthesize evidence from primary studies on the acceptability and effectiveness of mindfulness-based interventions (MBIs) for improving lifestyle behaviors and body mass index (BMI) in children with overweight or obesity. We conducted a meta-analysis or followed the Synthesis Without Meta-analysis (SWiM) guidelines to synthesize study findings. The analysis included both mindfulness-only interventions and comprehensive behavioral interventions incorporating mindfulness components.
View Article and Find Full Text PDFTreatment of focal anaplastic Wilms tumor: A report from the Children's Oncology Group AREN0321 and AREN03B2 studies.
Cancer
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Division of Oncology, Children's National Hospital and George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, USA.
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View Article and Find Full Text PDFUnraveling the complexity of follicular lymphoma: insights and innovations.
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Department of Hematology, Yantai Yuhuangding Hospital Yantai 264001, Shandong, China.
This review discusses multiple aspects of follicular lymphoma (FL), including etiology, treatment challenges, and future perspectives. First, we delve into the etiology of FL, which involves a variety of pathogenic mechanisms such as gene mutations, chromosomal abnormalities, immune escape, immune system dysregulation, familial inheritance, and environmental factors. These mechanisms provide the context for understanding the diversity and complexity of FL.
View Article and Find Full Text PDFDeveloping a Research Center for Artificial Intelligence in Medicine.
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Department Radiology, Stanford University, Stanford, CA.
Artificial intelligence (AI) and machine learning (ML) are driving innovation in biosciences and are already affecting key elements of medical scholarship and clinical care. Many schools of medicine are capitalizing on the promise of these new technologies by establishing academic units to catalyze and grow research and innovation in AI/ML. At Stanford University, we have developed a successful model for an AI/ML research center with support from academic leaders, clinical departments, extramural grants, and industry partners.
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