Results 81 to 90 of about 721,847 (303)

Multi‐Targeting Carnosic Acid Kills Drug‐Resistant Helicobacter pylori With Narrow‐Spectrum Activity

Advanced Science, EarlyView.
Carnosic acid selectively eradicates drug‐resistant Helicobacter pylori through a multi‐targeted mechanism involving urease inhibition, membrane disruption, and biofilm eradication. It exhibits no detectable resistance, potent in vivo efficacy, and minimal impact on gut microbiota, positioning it as a promising narrow‐spectrum lead compound against ...
Yuefan Bai, Hongming Huang, Xudong Hang, Shanwei Hu, Qian Tong, Jingchen Xu, Jia Jia, Hongkai Bi   +7 more
wiley   +1 more source

Role of myeloperoxidase in cardiology

, 2010
Myeloperoxidase (MPO) is an enzyme found in myeloid cells, particularly in neutrophils, and to a lesser extent in monocytes and tissue macrophages. MPO plays an important role in the host defense against bacteria and viruses.
Karadag, Bilgehan, Ikitimur, Baris, Bilgehan Karadag, Baris Ikitimur   +3 more
core   +1 more source

Cavity Microelectrode Arrays for Electrical Recordings From Neurons

Advanced Electronic Materials, EarlyView.
Microelectrode arrays (MEAs) are used to study electrophysiological activity. However, their signals are small with high noise. By adding a 100‐nanometer‐high cavity above the electrode, which reduces impedance without affecting resolution, we improve signal quality.
Johannes Lewen, Bernhard Wolfrum, Andreas Offenhäusser   +2 more
wiley   +1 more source

The Cardiovascular Care of the Pediatric Athlete.

Sports cardiology broadly encompasses the cardiovascular care of individuals who place a high premium on habitual exercise, sports performance, and/or sports competition. Some of the essential aspects within sports cardiology include the preparticipation
Shafer, K., Hsu, J., Edelson, J.B., Kim, J.H., Brothers, J.A., Burns, K., Husaini, M., Danielian, A., Etheridge, S., Martinez, M.W., Phelan, D.M., Molossi, S., Snyder, C., Friedman, E.M., Baggish, A.L., Levine, B.D., Dean, P.N., Chung, E.H.   +17 more
core   +1 more source

Synthetic MRI Neuroimaging Correlates of Frailty: Correlations Between Frailty Scales and Brain Structural Integrity

AGING MEDICINE, EarlyView.
Frailty was associated with decreased gray and white matter brain volumes in older adults. Synthetic MRI further revealed relaxometry alterations correlated with frailty severity across multiple clinical scales. ABSTRACT Objectives Frailty, a common condition in the elderly, is characterized by a decline in physiological reserves and an increased ...
Yuhui Chen, Fan Feng, Sicong Wang, Qi Wang, Hua Wang, Min Chen, Tao Gong, Chunmei Li   +7 more
wiley   +1 more source

European Society of Cardiology: cardiovascular disease statistics 2021.

European Heart Journal, 2022
A. Timmis, P. Vardas, N. Townsend, A. Torbica, H. Katus, D. De Smedt, C. Gale, A. Maggioni, Steffen Erhard Petersen, R. Huculeci, D. Kazakiewicz, Victor de Benito Rubio, B. Ignatiuk, Z. Raisi-Estabragh, A. Pawlak, E. Karagiannidis, R. Treskes, D. Gaita, J. Beltrame, A. McConnachie, Isabel Bardinet, I. Graham, M. Flather, P. Elliott, Elias Mossialos, F. Weidinger, S. Achenbach   +26 more
semanticscholar   +1 more source

“Intrapericardial Approach” for Venous Outflow Reconstruction in Living‐Donor Liver Transplantation for Budd‐Chiari Syndrome: Surgical Techniques and LongTerm Outcomes

Annals of Gastroenterological Surgery, EarlyView.
Unlike deceased‐donor liver transplantation, living‐donor liver transplantation (LDLT) for Budd‐Chiari Syndrome (BCS) presents distinctive challenges in hepatic venous (HV)‐outflow reconstruction because diseased HV–inferior vena cava (IVC) cannot be entirely replaced with healthy donor vessels.
Koichiro Hata, Tetsuya Tajima, Satoshi Ogiso, Shinji Uemoto, Etsuro Hatano   +4 more
wiley   +1 more source

Artificial Intelligence in Nuclear Cardiology

Background/Objectives: Artificial Intelligence (AI) is becoming increasingly important in Medicine. The aim of this review is to summarize its use in the field of Nuclear Cardiology. Methods: First, we provide a short description of how AI works. Then we
Samuele Valente, Roberto Sciagrà, Marco Dominietto   +2 more
core   +1 more source

AF Classification from a Short Single Lead ECG Recording: the Physionet Computing in Cardiology Challenge 2017

, 2019
The PhysioNet/Computing in Cardiology (CinC) Challenge 2017 focused on differentiating AF from noise, normal or other rhythms in short term (from 9-61 s) ECG recordings performed by patients.
Mark, Roger G, Lehman, Li-Wei, Johnson, A., Silva, Ikaro, Moody, Benjamin Edward   +4 more
core   +1 more source

Guidelines for the management of atrial fibrillation: the Task Force for the Management of Atrial Fibrillation of the European Society of Cardiology (ESC).

Europace, 2010
A. Camm, P. Kirchhof, G. Lip, U. Schotten, I. Savelieva, S. Ernst, I. V. van Gelder, N. Al-Attar, G. Hindricks, B. Prendergast, H. Heidbuchel, O. Alfieri, A. Angelini, D. Atar, P. Colonna, R. de Caterina, J. De Sutter, A. Goette, B. Gorenek, M. Heldal, Stefan H. Hohloser, P. Kolh, J. Le Heuzey, P. Ponikowski, F. Rutten, A. Vahanian, A. Auricchio, Jeroen J. Bax, C. Ceconi, V. Dean, G. Filippatos, C. Funck-Brentano, Richard J. Hobbs, P. Kearney, T. McDonagh, B. Popescu, Željko Reiner, U. Sechtem, P. Sirnes, M. Tendera, P. Vardas, Petr Widimsky, V. Agladze, E. Aliot, T. Balabanski, C. Blomstrom-Lundqvist, A. Capucci, H. Crijns, B. Dahlöf, T. Folliguet, M. Glikson, M. Goethals, D. Gulba, S. Ho, R. Klautz, S. Kose, John Mcmurray, Pasquale Perrone Filardi, P. Raatikainen, M. J. Salvador, M. Schalij, A. Shpektor, J. Sousa, J. Stȩpińska, H. Uuetoa, J. Zamorano, I. Zupan   +66 more
semanticscholar   +2 more sources