Tag: Precision Medicine

Asprosin in Cardiovascular Disease: Mechanistic Insights, Context-Dependent Effects, and Translational Perspectives

Announcing a new article publication for Cardiovascular Innovations and Applications journal highlighting the asprosin biology in the cardiovascular system. The study investigates molecular signaling pathways and tissue‑specific effects, moving beyond a disease‑centered descriptive framework, carefully differentiating exploratory hypotheses from validated conclusions, thereby strengthening the foundation for precision cardiovascular research and therapeutic innovation.

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Performance Comparison of Machine Learning Classifiers and Cardio-Sense Ensemble for Heart Disease Detection

Announcing a new article publication for Cardiovascular Innovations and Applications journal. Heart disease remains a leading cause of global mortality; consequently, accurate, reliable, and interpretable predictive models are needed for early diagnosis. This study was aimed at developing a robust hybrid ensemble learning framework that improves heart disease predictive accuracy while preserving clinical interpretability.

The Cardio-Sense Ensemble Framework (CSEF) for heart disease prediction was developed by using the publicly available Behavioral Risk Factor Surveillance System dataset. Laplacian binary optimization was used for optimized feature selection, to eliminate redundancy and enhance discriminative information. The refined feature set was used to train multiple baseline classifiers, including logistic regression, random forest, (more…)

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Sleep Apnea and Arrhythmias: Those Who Cannot Change Their Minds Cannot Change Anything

Announcing a new article publication for Cardiovascular Innovations and Applications journal.   Sleep apnea, a highly prevalent disorder characterized by recurrent episodes of airflow limitation and intermittent hypoxia, has emerged as a significant modifier of cardiovascular risk, particularly in patients with cardiac arrhythmias. Affecting more than half of individuals with atrial fibrillation (AF), sleep apnea contributes to arrhythmogenesis through mechanisms including chronic sympathetic activation, repetitive intrathoracic pressure shifts, hypoxia-driven myocardial remodeling, and autonomic imbalance.

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Multimodality Imaging for Cardiomyopathies in the Era of Precision Medicine

Announcing a new publication for Cardiovascular Innovations and Applications journal.   A clinical approach to new cardiomyopathy entails defining patient phenotype and disease pathophysiology. After echocardiography, invasive assessments to define hemodynamics and coronary anatomy are usually pursued. In selected non-ischemic cases, endomyocardial biopsies are performed in search for an etiology. Fortunately, advances in cardiac imaging allow for a multifaceted cardiac evaluation in a single study, reducing cost, lead time to diagnosis, and procedural adverse events while still providing supreme accuracy. As the stream of science and clinical practice worldwide emphasizes personalized and high-value care, noninvasive imaging has emerged as a new standard to prevent, diagnose, and guide the treatment of cardiac disease, reserving invasive procedures to cases where an intervention is required.

https://www.scienceopen.com/hosted-document?doi=10.15212/CVIA.2023.0053

CVIA is available on the ScienceOpen platform and at Cardiovascular Innovations and Applications. Submissions may be made using ScholarOne Manuscripts. There are no author submission or article processing fees. Cardiovascular Innovations and Applications is indexed in the EMBASE, EBSCO, ESCI, OCLC, Primo Central (Ex Libris), Sherpa Romeo, NISC (National Information Services Corporation), DOAJ, Index Copernicus, Research4Life and Ulrich’s web Databases. Follow CVIA on Twitter @CVIA_Journal; or Facebook.

Joshua Latner, Ahmad N. Nusairat and Mustafa A. Abuelsamen et al. Multimodality Imaging for Cardiomyopathies in the Era of Precision Medicine. CVIA. 2023. Vol. 8(1). DOI: 10.15212/CVIA.2023.0053

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