Results 51 to 60 of about 362,252 (265)

Application of non-HDL cholesterol for population-based cardiovascular risk stratification: results from the Multinational Cardiovascular Risk Consortium. [PDF]

, 2019
BACKGROUND: The relevance of blood lipid concentrations to long-term incidence of cardiovascular disease and the relevance of lipid-lowering therapy for cardiovascular disease outcomes is unclear.
Alver, M. (Maris), Amouyel, P. (Philippe), Bakker, S.J.L. (Stephan), Benjamin, E.J. (Emelia J.), Blankenberg, S. (Stefan), Bobak, M. (Martin), Brambilla, P. (Paolo), Brenner, H. (Hermann), Brunner, F.J. (Fabian J), Costanzo, S. (Simona), Dallongeville, J., de Lemos, J.A. (James A), Dobson, A. (Annette), Donfrancesco, C. (Chiara), Drygas, W. (Wojciech), Dullaart, R.P.F. (Robin P.F.), Dörr, M. (Marcus), Eliasson, M. (Mats), Engström, G., Ferrières, J. (Jean), Giampaoli, S. (Simona), Gianfagna, F. (Francesco), Giles, G. (Graham), Grassi, G. (Guido), Hodge, A. (Allison), Hveem, K. (Kristian), Iacoviello, L. (Licia), Ikram, M.K. (M. Kamran), Ingelsson, M. (Martin), Jorgensen, T. (Torben), Jousilahti, P. (Pekka), Jääskeläinen, T. (Tuija), JöCkel, K.-H. (Karl-Heinz), Kavousi, M. (Maryam), Kee, F. (F.), Klotsche, J. (Jens), Koenig, W. (Wolfgang), Kontto, J. (Jukka), Kuulasmaa, K. (Kari), Lackner, K.J. (Karl), Landmesser, U. (Ulf), Leistner, D.M. (David M), Linneberg, A. (Allan), Lorenz, T. (Thiess), Lyngbakken, M.N. (Magnus N.), Magliano, D.J., Makarova, N. (Nataliya), Malyutina, S., Mathiesen, E.B. (Ellisiv), Meisinger, C. (Christa), Melander, O. (Olle), Metspalu, A. (Andres), Moitry, M. (Marie), Männistö, S. (Satu), Nauck, M. (Matthias), Niiranen, T. (Teemu), Nikitin, Y., Ojeda, F. (Francisco), Omland, T. (Torbjørn), Pajak, A. (Andrzej), Panagiotakos, D.B. (Demosthenes), Peters, A. (Annette), Pitsavos, C. (Christos), Riserus, U. (Ulf), Salomaa, V. (Veikko), Sans, S. (Susana), Schmidt, B. (Börge), Schöttker, B. (Ben), Shaw, J.E., Shea, S. (Steven), Signorini, S. (Stefano), Simons, L.A. (Leon), Söderberg, S. (Stefan), Tamosiunas, A. (Abdonas), Thorand, B. (Barbara), Tunstall-Pedoe, H. (Hugh), Twerenbold, R. (Raphael), Vasan, R.S. (Ramachandran Srini), Veronesi, G. (Giovanni), Völzke, H. (Henry), Waldeyer, C. (Christoph), Wannamethee, S.G. (Goya), Whincup, P.H. (Peter), Wild, P.S. (Philipp), Wilsgaard, T. (Tom), Woodward, M. (Mark), Zeller, T. (Tanja)   +86 more
core   +10 more sources

Materials Advances in Devices for Heart Disease Interventions

Advanced Materials, EarlyView.
This review examines the crucial role of materials in heart disease interventions, focusing on strategies for monitoring, managing, and repairing heart conditions. It discusses the material requirements for medical devices, highlighting recent innovations and their impact on cardiovascular health.
Gagan K. Jalandhra, Lauryn Srethbhakdi, James Davies, Chi Cong Nguyen, Phuoc Thien Phan, Zachary Och, Aditya Ashok, Khoon S. Lim, Hoang‐Phuong Phan, Thanh Nho Do, Nigel H. Lovell, Jelena Rnjak‐Kovacina   +11 more
wiley   +1 more source

The CRL7FBXW8 Complex Controls the Mammary Stem Cell Compartment through Regulation of NUMB Levels

Advanced Science, EarlyView.
In breast cancer (BC), NUMB loss of function (LOF) is common and mainly driven by protein hyper‐degradation. The CRL7FBXW8 complex is the E3 ligase responsible for NUMB degradation. Inhibition of CRL7FBXW8 in NUMB‐LOF BC cells restores NUMB levels, and decreases the number of cancer stem cells and tumorigenic ability in vivo. Targeting CRL7FBXW8 offers
Simone Sabbioni, Maria Grazia Filippone, Letizia Amadori, Stefano Confalonieri, Roberta Bonfanti, Stefano Capoano, Ivan Nicola Colaluca, Stefano Freddi, Giovanni Bertalot, Giovanni Fagà, Elisa Zagarrí, Mario Varasi, Rosalind Helen Gunby, Ciro Mercurio, Salvatore Pece, Pier Paolo Di Fiore, Daniela Tosoni   +16 more
wiley   +1 more source

Body mass index, abdominal fatness, fat mass and the risk of atrial fibrillation: a systematic review and dose–response meta-analysis of prospective studies [PDF]

, 2017
Different adiposity measures have been associ- ated with increased risk of atrial fibrillation, however, results have previously only been summarized for BMI. We therefore conducted a systematic review and meta- analysis of prospective studies to clarify
Aune, D, Janszky, I, Norat, T, Riboli, E, Romundstad, P, Schlesinger, S, Sen, A, Tonstad, S, Vattan, LJ   +8 more
core   +1 more source

Deep Learning in Cardiology

, 2021
The medical field is creating large amount of data that physicians are unable to decipher and use efficiently. Moreover, rule-based expert systems are inefficient in solving complicated medical tasks or for creating insights using big data. Deep learning
Bizopoulos, Paschalis, Koutsouris, Dimitrios   +1 more
core   +1 more source

Integrative Multi‐Omics and Routine Blood Analysis Using Deep Learning: Cost‐Effective Early Prediction of Chronic Disease Risks

Advanced Science, Volume 12, Issue 22, June 12, 2025.
Omicsformer, a deep learning model, integrates multi‐omics and routine blood data to accurately predict risks for nine chronic diseases, including cancer and cardiovascular conditions. Validated using large scale clinical data, it reveals early risk trajectories, advancing personalized medicine and offering a cost‐effective, community‐based solution ...
Zhibin Dong, Pei Li, Yi Jiang, Zhihan Wang, Shihui Fu, Hebin Che, Meng Liu, Xiaojing Zhao, Chunlei Liu, Chenghui Zhao, Qin Zhong, Chongyou Rao, Siwei Wang, Suyuan Liu, Dayu Hu, Dongjin Wang, Juntao Gao, Kai Guo, Xinwang Liu, En Zhu, Kunlun He   +20 more
wiley   +1 more source

Practical approach on frail older patients attended for acute heart failure [PDF]

, 2016
Acute heart failure (AHF) is a multi-organ dysfunction syndrome. In addition to known cardiac dysfunction, non-cardiac comorbidity, frailty and disability are independent risk factors of mortality, morbidity, cognitive and functional decline, and risk of
Bueno, H, Christ, M, Cowie, Mr, Cullen, L, DI SOMMA, Salvatore, Maisel, As, Martín Sánchez, Fj, Masip, J, Mcmurray, Jj, Miró, Ò, Mueller, C., Peacock, Wf, Platz, E, Price, S, Vrints, C, Zeymer, U   +15 more
core   +4 more sources

IRF8 Drives Conventional Type 1 Dendritic Cell Differentiation and CD8+ T Cell Activation to Aggravate Abdominal Aortic Aneurysm Development

Advanced Science, Volume 12, Issue 22, June 12, 2025.
This study highlights the critical role of IRF8 in the development of AAA. IRF8 activation promotes the differentiation of cDC1s, which in turn recruit and activate CD8+ T cells, contributing to aortic wall degradation. The study identifies the IRF8‐cDC1‐CD8+ T cell axis as a key pathway in AAA progression, offering new potential therapeutic targets to
Zhen Yuan, Li Shu, Yidan Zheng, Yidong Wang, Mengsha Zheng, Jie Sun, Jiantao Fu, Zihao Zhou, Shen Song, Zhenjie Liu, Fei Li, Zhejun Cai   +11 more
wiley   +1 more source

Impact of dyslipidemia on cardiovascular risk stratification of hypertensive patients and association of lipid profile with other cardiovascular risk factors: results from the ICEBERG study [PDF]

, 2007
Giray Kabakci1, Nevres Koylan2, Baris Ilerigelen3, Omer Kozan4, Kemalettin Buyukozturk2 on behalf of the ICEBERG Investigators1Hacettepe University, Hacettepe School of Medicine, Department of Cardiology, Ankara, Turkey; 2Istanbul University, Istanbul ...
Buyukozturk, Kemalettin, Ilerigelen, Baris, Kabakci, Giray, Koylan, Nevres, Kozan, Omer   +4 more
core   +3 more sources

International Journal of Cardiology and Cardiovascular Medicine [PDF]

, 2018

  +12 more sources