Results 11 to 20 of about 23,798,154 (337)

Experimental Rodent Models of Cardiovascular Diseases

Frontiers in Cardiovascular Medicine, 2020
Cardiovascular diseases, as the most common non-communicable disease in the world, cause a high mortality rate today and bring a serious medical burden to countries worldwide, especially in low- and middle-income countries. Experimental rodent models are
Tian Jia, Chen Wang, Zhengxi Han, Xiaozhi Wang, Ming Ding, Quanyi Wang   +5 more
doaj   +2 more sources

Zebrafish models of cardiovascular disease

Heart Failure Reviews, 2016
Cardiovascular disease (CVD) is one of the leading causes of death worldwide. The most significant risk factors associated with the development of heart diseases include genetic and environmental factors such as hypertension, high blood cholesterol levels, diabetes, smoking, and obesity.
Despina Bournele, Dimitris Beis
openaire   +4 more sources

SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe.

European Heart Journal, 2021
AIMS The aim of this study was to develop, validate, and illustrate an updated prediction model (SCORE2) to estimate 10-year fatal and non-fatal cardiovascular disease (CVD) risk in individuals without previous CVD or diabetes aged 40-69 years in Europe.
S. Hageman, L. Pennells, F. Ojeda, S. Kaptoge, K. Kuulasmaa, T. D. de Vries, Zhe Xu, F. Kee, Ryan Chung, A. Wood, J. McEvoy, G. Veronesi, T. Bolton, S. Achenbach, K. Aleksandrova, P. Amiano, D. Sebastián, P. Amouyel, J. Andersson, S. Bakker, Rui Bebiano Da Providencia Costa, J. Beulens, M. Blaha, M. Bobák, J. Boer, C. Bonet, F. Bonnet, M. Boutron‐Ruault, Tonje Braaten, H. Brenner, F. Brunner, E. Brunner, M. Brunström, J. Buring, A. Butterworth, N. Capkova, G. Cesana, C. Chrysohoou, S. Colorado-Yohar, N. Cook, C. Cooper, C. Dahm, K. Davidson, E. Dennison, A. Di Castelnuovo, C. Donfrancesco, M. Dörr, A. Doryńska, M. Eliasson, G. Engström, P. Ferrari, M. Ferrario, I. Ford, M. Fu, R. Gansevoort, S. Giampaoli, R. Gillum, A. Gómez de la Cámara, G. Grassi, P. Hansson, R. Huculeci, K. Hveem, L. Iacoviello, M. Ikram, T. Jørgensen, Bijoy Joseph, P. Jousilahti, J. Wouter Jukema, R. Kaaks, V. Katzke, M. Kavousi, S. Kiechl, J. Klotsche, W. König, R. Kronmal, R. Kubínová, Anna M. Kucharska‐Newton, Kristi Läll, N. Lehmann, D. Leistner, A. Linneberg, D. Pablos, T. Lorenz, Wentian Lu, D. Lukšienė, M. Lyngbakken, C. Magnussen, S. Malyutina, A. M. Ibañez, G. Masala, E. Mathiesen, Kunitake Matsushita, T. Meade, O. Melander, H. Meyer, K. Moons, C. Moreno-Iribas, David C. Muller, T. Münzel, Yu.G. Nikitin, B. Nordestgaard, T. Omland, Charlotte Onland, K. Overvad, C. Packard, A. Pająk, L. Palmieri, D. Panagiotakos, S. Panico, A. Perez-Cornago, A. Peters, A. Pietilä, ,. H. Pikhart, B. Psaty, F. Quarti-Trevano, J. R. García, E. Riboli, P. Ridker, Beatriz L. Rodriguez, M. Rodríguez-Barranco, A. Rosengren, R. Roussel, C. Sacerdote, S. Sans, N. Sattar, Catarina Schiborn, B. Schmidt, B. Schöttker, M. Schulze, Jasmine Schwartz, R. Selmer, S. Shea, M. Shipley, S. Sieri, S. Söderberg, R. Sofat, A. Tamošiūnas, B. Thorand, T. Tillmann, A. Tjønneland, T. Tong, A. Trichopoulou, R. Tumino, H. Tunstall-Pedoe, A. Tybjaerg-hansen, Joanna Tzoulaki, A. A. van der Heijden, Y. T. van der Schouw, W. Verschuren, H. Völzke, C. Waldeyer, N. Wareham, E. Weiderpass, F. Weidinger, P. Wild, J. Willeit, P. Willeit, T. Wilsgaard, M. Woodward, T. Zeller, Dudan Zhang, Bin Zhou, P. Dendale, B. Ference, M. Halle, A. Timmis, P. Vardas, J. Danesh, I. Graham, V. Salomaa, F. Visseren, D. De Bacquer, S. Blankenberg, J. Dorresteijn, E. di Angelantonio   +174 more
semanticscholar   +1 more source

Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease

European Heart Journal, 2022
The medical field has seen a rapid increase in the development of artificial intelligence (AI)-based prediction models. With the introduction of such AI-based prediction model tools and software in cardiovascular patient care, the cardiovascular ...
M. van Smeden, Georg Heinze, B. Van calster, F. Asselbergs, P. Vardas, N. Bruining, P. D. de Jaegere, Jason H. Moore, Spiros C. Denaxas, A. Boulesteix, K. Moons   +10 more
semanticscholar   +1 more source

Cardiovascular Risk Prediction Models and Scores in the Era of Personalized Medicine

Journal of Personalized Medicine, 2022
Cardiovascular disease (CVD) is the leading cause of death worldwide. Management of cardiovascular risk factors, particularly hypertension and dyslipidemia, has been shown to reduce cardiovascular morbidity and mortality.
Areti Sofogianni, N. Stalikas, C. Antza, K. Tziomalos   +3 more
semanticscholar   +1 more source

Cellular and Engineered Organoids for Cardiovascular Models

Circulation Research, 2022
An ensemble of in vitro cardiac tissue models has been developed over the past several decades to aid our understanding of complex cardiovascular disorders using a reductionist approach.
Dilip Thomas, Suji Choi, Christina Alamana, K. Parker, Joseph C. Wu   +4 more
semanticscholar   +1 more source

Cre toxicity in mouse models of cardiovascular physiology and disease

Nature Cardiovascular Research, 2022
The Cre–LoxP system provides a widely used method for studying gene requirements in the mouse as the main mammalian genetic model organism. To define the molecular and cellular mechanisms that underlie cardiovascular development, function and disease ...
V. Rashbrook, James T. Brash, C. Ruhrberg   +2 more
semanticscholar   +1 more source

Pre-existing and machine learning-based models for cardiovascular risk prediction

Scientific Reports, 2021
Predicting the risk of cardiovascular disease is the key to primary prevention. Machine learning has attracted attention in analyzing increasingly large, complex healthcare data.
S. Cho, Sun-Hwa Kim, Si‐Hyuck Kang, K. Lee, Dongjun Choi, Seungjin Kang, S. Park, Tackeun Kim, C. Yoon, T. Youn, I. Chae   +10 more
semanticscholar   +1 more source

The triglyceride-glucose index is a predictor for cardiovascular and all-cause mortality in CVD patients with diabetes or pre-diabetes: evidence from NHANES 2001–2018

Cardiovascular Diabetology, 2023
Background The association between the triglyceride-glucose (TyG) index and mortality in cardiovascular disease (CVD) patients with diabetes or pre-diabetes remains unclear.
Qin Zhang, Shucai Xiao, Xiaojuan Jiao, Yunfeng Shen   +3 more
semanticscholar   +1 more source

Roadmap for cardiovascular circulation model [PDF]

The Journal of Physiology, 2016
AbstractComputational models of many aspects of the mammalian cardiovascular circulation have been developed. Indeed, along with orthopaedics, this area of physiology is one that has attracted much interest from engineers, presumably because the equations governing blood flow in the vascular system are well understood and can be solved with well ...
Soroush Safaei, Christopher P. Bradley, Vinod Suresh, Kumar Mithraratne, Alexandre Muller, Harvey Ho, David Ladd, Leif R. Hellevik, Stig W. Omholt, J. Geoffrey Chase, Lucas O. Müller, Sansuke M. Watanabe, Pablo J. Blanco, Bernard de Bono, Peter J. Hunter   +14 more
openaire   +2 more sources