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| http://dx.doi.org/10.3389/fmolb.2021.698384 | DOI Listing |
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Predicting cognitive decline from neuropsychiatric symptoms and Alzheimer's disease biomarkers: A machine learning approach to a population-based data.
J Alzheimers Dis
January 2025
Department of Neurology and the Franke Barrow Global Neuroscience Education Center, Barrow Neurological Institute, Phoenix, AZ, USA.
Background: The aim of this study was to examine the potential added value of including neuropsychiatric symptoms (NPS) in machine learning (ML) models, along with demographic features and Alzheimer's disease (AD) biomarkers, to predict decline or non-decline in global and domain-specific cognitive scores among community-dwelling older adults.
Objective: To evaluate the impact of adding NPS to AD biomarkers on ML model accuracy in predicting cognitive decline among older adults.
Methods: The study was conducted in the setting of the Mayo Clinic Study of Aging, including participants aged ≥ 50 years with information on demographics (i.
Call for Reforms in the NEET-UG Examination (National Eligibility cum Entrance Test - Undergraduate): Addressing Human Resources in Health for India, the World's Most Populous Country.
J Family Med Prim Care
December 2024
Founder and Chairman Emeritus, Academy of Family Physicians of India, New Delhi, India.
The National Eligibility cum Entrance Test for Undergraduate (NEET-UG) in India serves as a unified admission examination for undergraduate medical courses, aiming to standardize assessment across diverse educational backgrounds. Despite its goals, NEET-UG has faced criticism over fairness, excessive reliance on coaching, and its impact on students' holistic development. The article reviews the limitations of the current NEET-UG format and proposes reforms, emphasizing the need to align the syllabus more closely with medical requirements by reducing physics and chemistry content and prioritizing biology.
View Article and Find Full Text PDFGreater than the sum of its parts: multimodality imaging in adults with congenital heart disease.
Cardiovasc Diagn Ther
December 2024
Department of Heart, Vascular & Thoracic, Division of Cardiology & Cardiovascular Medicine - Pediatric Cardiology, Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA.
As the population of adults with congenital heart disease (ACHD) grows, there also grows an expanded need for non-invasive surveillance methods to guide management and intervention. A multimodal imaging approach layers complementary insights from echocardiography, computed tomography (CT), magnetic resonance imaging (MRI), and other modalities into a clinician's view of patient physiology. Merely applying strategies from acquired adult cardiac disease would be inadequate and potentially misleading.
View Article and Find Full Text PDFPregnancy & cardiovascular disease: the PREG-CVD-HH registry.
Cardiovasc Diagn Ther
December 2024
Department of Cardiology, University Heart & Vascular Center, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.
Background: Cardiovascular disease (CVD) remains the leading cause of death in pregnant and peripartal women in western countries. Physiological changes during pregnancy can lead to cardiovascular complications in the mother; women with pre-existing heart disease may not tolerate these changes well, increasing their susceptibility to adverse cardiovascular outcomes during pregnancy. The aim of this study is to characterize pregnancy-induced changes in cardiac function, biomarker concentrations and cardiovascular outcomes in women with CVD during pregnancy at a tertiary care hospital in Germany.
View Article and Find Full Text PDFIntelligent biology and medicine: Accelerating innovative computational approaches.
Comput Struct Biotechnol J
November 2024
Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
In this editorial, we summarize the 2023 International Conference on Intelligent Biology and Medicine (ICIBM 2023) conference which was held on July 16-19, 2023 in Tampa, Florida, USA. We then briefly describe the nine research articles included in this special issue. ICIBM 2023 scientific program included four tutorials and workshops, four keynote lectures, four eminent scholars' presentations, 11 concurrent scientific sessions, and a poster session.
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