The potential role of cardiac CT in ischemic stroke: bridging cardiovascular and cerebrovascular health DOI
Jianwei Wang,

Tingxia Zhang,

Huan Zhou

и другие.

Acta Neurologica Belgica, Год журнала: 2024, Номер unknown

Опубликована: Дек. 26, 2024

Язык: Английский

Convergence of coronary artery disease genes onto endothelial cell programs DOI

Gavin R. Schnitzler,

Helen Y. Kang,

Shi Fang

и другие.

Nature, Год журнала: 2024, Номер 626(8000), С. 799 - 807

Опубликована: Фев. 7, 2024

Язык: Английский

Процитировано

34

Cross-modal autoencoder framework learns holistic representations of cardiovascular state DOI Creative Commons
Adityanarayanan Radhakrishnan, Samuel Friedman, Shaan Khurshid

и другие.

Nature Communications, Год журнала: 2023, Номер 14(1)

Опубликована: Апрель 28, 2023

A fundamental challenge in diagnostics is integrating multiple modalities to develop a joint characterization of physiological state. Using the heart as model system, we cross-modal autoencoder framework for distinct data and constructing holistic representation cardiovascular In particular, use our construct such representations from cardiac magnetic resonance images (MRIs), containing structural information, electrocardiograms (ECGs), myoelectric information. We leverage learned (1) improve phenotype prediction single, accessible ECGs; (2) enable imputation hard-to-acquire MRIs easy-to-acquire (3) performing genome-wide association studies an unsupervised manner. Our results systematically integrate diagnostic into common that better characterizes physiologic

Язык: Английский

Процитировано

37

Melatonin lessens the susceptibility to atrial fibrillation in sleep deprivation by ameliorating Ca2+ mishandling in response to mitochondrial oxidative stress DOI Creative Commons

Jun Shen,

Junqing Liang, Ping Yuan

и другие.

International Immunopharmacology, Год журнала: 2025, Номер 148, С. 114093 - 114093

Опубликована: Янв. 21, 2025

Язык: Английский

Процитировано

0

A comprehensive evaluation of the left atrium using CMR DOI Creative Commons
Maurice Pradella, Mohammed S.M. Elbaz, Daniel Lee

и другие.

Journal of Cardiovascular Magnetic Resonance, Год журнала: 2025, Номер unknown, С. 101852 - 101852

Опубликована: Фев. 1, 2025

Atrial disease or myopathy is a growing concept in cardiovascular medicine, particularly the context of atrial fibrillation, as well amyloidosis and heart failure. Among cardiac imaging modalities, magnetic resonance (CMR) suited for comprehensive assessment myopathy, including tissue characterization hemodynamics. The goal this review article to describe clinical applications make recommendations on pulse sequences parameters assess left atrium appendage. Furthermore, we aimed create an overview current promising future emerging atrium-specific CMR focusing both electrophysiologic (EP) non-EP applications.

Язык: Английский

Процитировано

0

Correlation between left ventricular hypertrophy, myocardial fibrosis, and left atrial function in non-obstructive hypertrophic cardiomyopathy: insights from CMR-FT imaging DOI

Yan Zheng,

Liyuan Ma,

Qian Wu

и другие.

The International Journal of Cardiovascular Imaging, Год журнала: 2025, Номер unknown

Опубликована: Март 29, 2025

Язык: Английский

Процитировано

0

Hearts, Data, and Artificial Intelligence Wizardry: From Imitation to Innovation in Cardiovascular Care DOI Creative Commons
Panteleimon Pantelidis, Polychronis Dilaveris, Samuel Ruipérez-Campillo

и другие.

Biomedicines, Год журнала: 2025, Номер 13(5), С. 1019 - 1019

Опубликована: Апрель 23, 2025

Artificial intelligence (AI) is transforming cardiovascular medicine by enabling the analysis of high-dimensional biomedical data with unprecedented precision. Initially employed to automate human tasks such as electrocardiogram (ECG) interpretation and imaging segmentation, AI’s true potential lies in uncovering hidden disease patterns, predicting long-term risk, personalizing treatments. Unlike cognition, which excels certain but limited memory processing constraints, AI integrates multimodal sources—including ECG, echocardiography, cardiac magnetic resonance (CMR) imaging, genomics, wearable sensor data—to generate novel clinical insights. models have demonstrated remarkable success early dis-ease detection, heart failure from standard ECGs before symptom on-set, distinguishing genetic cardiomyopathies, forecasting arrhythmic events. However, several challenges persist, including lack contextual understanding most these tasks, its “black-box” nature, biases training datasets that may contribute disparities healthcare delivery. Ethical considerations regulatory frameworks are evolving, governing bodies establishing guidelines for AI-driven medical applications. To fully harness AI, interdisciplinary collaboration among clinicians, scientists, engineers essential, alongside open science initiatives promote accessibility reproducibility. Future must go beyond task automation, focusing instead on augmenting expertise enable proactive, precision-driven care. By embracing computational strengths while addressing limitations, cardiology poised enter an era transformative innovation traditional diagnostic therapeutic paradigms.

Язык: Английский

Процитировано

0

Heart Failure Risk Assessment Using Biomarkers in Patients With Atrial Fibrillation DOI
Paul M. Haller, Petr Jarolı́m, Michael G. Palazzolo

и другие.

Journal of the American College of Cardiology, Год журнала: 2024, Номер 84(16), С. 1528 - 1540

Опубликована: Сен. 2, 2024

Язык: Английский

Процитировано

3

Molecular convergence of risk variants for congenital heart defects leveraging a regulatory map of the human fetal heart DOI Creative Commons
X. Rosa,

Stephanie D. Conley,

Michael Kosicki

и другие.

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Ноя. 21, 2024

Abstract Congenital heart defects (CHD) arise in part due to inherited genetic variants that alter genes and noncoding regulatory elements the human genome. These are thought act during fetal development influence formation of different structures. However, identifying genes, pathways, cell types mediate these effects has been challenging immense diversity involved as well superimposed complexities interpreting sequences. As such, understanding molecular functions both coding remains paramount our fundamental cardiac CHD. Here, we created a gene regulation map healthy across developmental time, applied it interpret associated with CHD quantitative traits. We collected single-cell multiomic data from 734,000 single cells sampled 41 hearts spanning post-conception weeks 6 22, enabling construction maps 90 states, including rare populations conduction cells. Through an unbiased analysis all types, find common valve traits converge affect valvular interstitial (VICs). VICs enriched for high expression known previously identified through mapping variants. Eight other similar linked diseases or via enhancers VICs. In addition, certain impact activities highly specific particular subanatomic structures heart, illuminating how such can aspects structure function. Together, results implicate new enhancers, etiology CHD, identify convergence on VICs, suggest more expansive view instrumental risk beyond working cardiomyocyte. This will provide foundational resource development, disease, discovering targets cell-type therapies.

Язык: Английский

Процитировано

2

Identification of Clinical Drivers of Left Atrial Enlargement Through Genomics of Left Atrial Size DOI
Vineet Agrawal, Ali Manouchehri, Nataraja Sarma Vaitinadin

и другие.

Circulation Heart Failure, Год журнала: 2023, Номер 17(1)

Опубликована: Дек. 21, 2023

Greater left atrial size is associated with a higher incidence of cardiovascular disease and mortality, but the full spectrum diagnoses enlargement in sex-stratified clinical populations not well known. Our study sought to identify genetic risk mechanisms affecting diameter (LAD) cohort.

Язык: Английский

Процитировано

3

Circulating ketone bodies, genetic susceptibility, with left atrial structure, function and atrial fibrillation: A prospective study from UK Biobank DOI
Nan Zhang,

Daiqi Liu,

Jian Zhao

и другие.

Heart Rhythm, Год журнала: 2024, Номер unknown

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

0