Results 61 to 70 of about 688,330 (206)

Predicting cardiac frequencies in mammals

Scientific Reports
We develop a fluid mechanical model of the arterial tree in order to address the key question of what determines heart rate in mammals. We propose that the frequency of the pulsatile pressure gradient, which minimizes resistance to flow and facilitates ...
Rui D. M. Travasso, Clint A. Penick, Robert R. Dunn, E. Corvera Poiré   +3 more
doaj   +1 more source

Video-based AI for beat-to-beat assessment of cardiac function

Nature, 2020
David Ouyang, B. He, Amirata Ghorbani, N. Yuan, J. Ebinger, C. Langlotz, P. Heidenreich, R. Harrington, D. Liang, E. Ashley, J. Zou   +10 more
semanticscholar   +1 more source

Serum glial fibrillary acidic protein and protein gene product 9.5 for predicting neurological outcomes in cardiac arrest patients with cortical response to somatosensory evoked potentials

Resuscitation Plus
Aim: Predicting neurological prognosis after cardiac arrest remains challenging. Somatosensory evoked potential N20 absence is highly specific but lacks sensitivity.
Chenchen Hang, Rui Shao, Xingsheng Wang, Luying Zhang, Weijie Cheng, Zihao Jiang, Ziqi Zhong, Le An, Ziren Tang   +8 more
doaj   +1 more source

Metabolomic Profiling Reveals That Exercise Lowers Biomarkers of Cardiac Dysfunction in Rats with Type 2 Diabetes

Antioxidants
The increasing prevalence of type 2 diabetes mellitus (T2DM) leads to significant global health challenges, including cardiac structural and functional deficits, which in severe cases can progress to heart failure that can further strain healthcare ...
Tutu Wang, Miaomiao Ning, Yurou Mo, Xinyu Tian, Yu Fu, Ismail Laher, Shunchang Li   +6 more
doaj   +1 more source

Vision–language foundation model for echocardiogram interpretation

Nature Network Boston
The development of robust artificial intelligence models for echocardiography has been limited by the availability of annotated clinical data. Here, to address this challenge and improve the performance of cardiac imaging models, we developed EchoCLIP, a
M. Christensen, M. Vukadinovic, Neal Yuan, D. Ouyang   +3 more
semanticscholar   +1 more source

The impact of high nicotine concentrations on the viability and cardiac differentiation of mesenchymal stromal cells: a barrier to regenerative therapy for smokers

Frontiers in Cell and Developmental Biology
Background: Current treatment methods are not successful in restoring the lost cardiomyocytes after injury. Stem cell-based strategies have attracted much attention in this regard.
Maryam Gheisari, Shadi Nosrati, Shahrokh Zare, Mahintaj Dara, Samaneh Zolghadri, Iman Razeghian-Jahromi   +5 more
doaj   +1 more source

Development and evaluation of the model for acute kidney injury in patients with cardiac arrest after successful resuscitation

BMC Cardiovascular Disorders
Background This study aims to construct a clinical prediction model and create a visual line chart depicting the risk of acute kidney injury (AKI) following resuscitation in cardiac arrest (CA) patients.
Shanbing Hou, Lixiang Zhang, Hongzhi Ji, Tingting Zhao, Ming Hu, Ying Jiang, Quanquan Sun, Ming Zhang, Min Dou   +8 more
doaj   +1 more source

Three-Dimensional Volumetric Assessment of Diastolic Function by Cardiac Magnetic Resonance Imaging: The Multi-Ethnic Study of Atherosclerosis (MESA)

Arquivos Brasileiros de Cardiologia
Background: Cardiac Magnetic Resonance is in need of a simple and robust method for diastolic function assessment that can be done with routine protocol sequences.
Marcelo S Nacif, Andre L. C. Almeida, Alistair A Young, Brett R Cowan, Anderson C Armstrong, Eunice Yang, Christopher T Sibley, W. Gregory Hundley, Songtao Liu, Joao AC Lima, David A Bluemke   +10 more
doaj   +1 more source

Serum Presepsin and GDF-15 levels in patients with acute myocarditis and their correlation with inflammatory level and cardiac function

Zhongguo linchuang yanjiu
Objective To investigate the levels of serum soluble CD14 subtype (Presepsin) and growth differentiation factor 15 (GDF-15) in patients with acute myocarditis and their correlation with inflammation factor levels and cardiac function indexes.
Hasigaowa, Wujisiguleng, ZHANG Yong
doaj   +1 more source

Machine learning−derived multivariable predictors of postcardiotomy cardiogenic shock in high-risk cardiac surgery patientsCentral MessagePerspective

JTCVS Open
Objective: To develop a model for preoperatively predicting postcardiotomy cardiogenic shock (PCCS) in patients with poor left ventricular (LV) function undergoing cardiac surgery. Methods: From the Society of Thoracic Surgeons Adult Cardiac Database, 11,
Edward G. Soltesz, MD, MPH, Randi J. Parks, PhD, Elise M. Jortberg, MS, Eugene H. Blackstone, MD   +3 more
doaj   +1 more source