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Showing 289 to 292 of 292 entries
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Assessment of an ECG-Based System for Localizing Ventricular Arrhythmias in Patients With Structural Heart Disease.

Journal of the American Heart Association

Zhou S, AbdelWahab A, Sapp JL, Sung E, Aronis KN, Warren JW, MacInnis PJ, Shah R, Horáček BM, Berger R, Tandri H, Trayanova NA, Chrispin J.
PMID: 34612085
J Am Heart Assoc. 2021 Oct 19;10(20):e022217. doi: 10.1161/JAHA.121.022217. Epub 2021 Oct 06.

Background We have previously developed an intraprocedural automatic arrhythmia-origin localization (AAOL) system to identify idiopathic ventricular arrhythmia origins in real time using a 3-lead ECG. The objective was to assess the localization accuracy of ventricular tachycardia (VT) exit and...

Cite
Zhou S, AbdelWahab A, Sapp JL, et al. Assessment of an ECG-Based System for Localizing Ventricular Arrhythmias in Patients With Structural Heart Disease. J Am Heart Assoc. 2021;10(20):e022217doi: 10.1161/JAHA.121.022217.
Zhou, S., AbdelWahab, A., Sapp, J. L., Sung, E., Aronis, K. N., Warren, J. W., MacInnis, P. J., Shah, R., Horáček, B. M., Berger, R., Tandri, H., Trayanova, N. A., & Chrispin, J. (2021). Assessment of an ECG-Based System for Localizing Ventricular Arrhythmias in Patients With Structural Heart Disease. Journal of the American Heart Association, 10(20), e022217. https://doi.org/10.1161/JAHA.121.022217
Zhou, Shijie, et al. "Assessment of an ECG-Based System for Localizing Ventricular Arrhythmias in Patients With Structural Heart Disease." Journal of the American Heart Association vol. 10,20 (2021): e022217. doi: https://doi.org/10.1161/JAHA.121.022217
Zhou S, AbdelWahab A, Sapp JL, Sung E, Aronis KN, Warren JW, MacInnis PJ, Shah R, Horáček BM, Berger R, Tandri H, Trayanova NA, Chrispin J. Assessment of an ECG-Based System for Localizing Ventricular Arrhythmias in Patients With Structural Heart Disease. J Am Heart Assoc. 2021 Oct 19;10(20):e022217. doi: 10.1161/JAHA.121.022217. Epub 2021 Oct 06. PMID: 34612085; PMCID: PMC8751877.
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Glycosylation and Serological Reactivity of an Expression-enhanced SARS-CoV-2 Viral Spike Mimetic.

Journal of molecular biology

Chawla H, Jossi SE, Faustini SE, Samsudin F, Allen JD, Watanabe Y, Newby ML, Marcial-Juárez E, Lamerton RE, McLellan JS, Bond PJ, Richter AG, Cunningham AF, Crispin M.
PMID: 34717971
J Mol Biol. 2021 Oct 27;434(2):167332. doi: 10.1016/j.jmb.2021.167332. Epub 2021 Oct 27.

Extensive glycosylation of viral glycoproteins is a key feature of the antigenic surface of viruses and yet glycan processing can also be influenced by the manner of their recombinant production. The low yields of the soluble form of the...

Cite
Chawla H, Jossi SE, Faustini SE, et al. Glycosylation and Serological Reactivity of an Expression-enhanced SARS-CoV-2 Viral Spike Mimetic. J Mol Biol. 2021;434(2):167332doi: 10.1016/j.jmb.2021.167332.
Chawla, H., Jossi, S. E., Faustini, S. E., Samsudin, F., Allen, J. D., Watanabe, Y., Newby, M. L., Marcial-Juárez, E., Lamerton, R. E., McLellan, J. S., Bond, P. J., Richter, A. G., Cunningham, A. F., & Crispin, M. (2021). Glycosylation and Serological Reactivity of an Expression-enhanced SARS-CoV-2 Viral Spike Mimetic. Journal of molecular biology, 434(2), 167332. https://doi.org/10.1016/j.jmb.2021.167332
Chawla, Himanshi, et al. "Glycosylation and Serological Reactivity of an Expression-enhanced SARS-CoV-2 Viral Spike Mimetic." Journal of molecular biology vol. 434,2 (2021): 167332. doi: https://doi.org/10.1016/j.jmb.2021.167332
Chawla H, Jossi SE, Faustini SE, Samsudin F, Allen JD, Watanabe Y, Newby ML, Marcial-Juárez E, Lamerton RE, McLellan JS, Bond PJ, Richter AG, Cunningham AF, Crispin M. Glycosylation and Serological Reactivity of an Expression-enhanced SARS-CoV-2 Viral Spike Mimetic. J Mol Biol. 2021 Oct 27;434(2):167332. doi: 10.1016/j.jmb.2021.167332. Epub 2021 Oct 27. PMID: 34717971; PMCID: PMC8550889.
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A model of .

PeerJ

Humphrey S, Kerr A, Rattray M, Dive C, Miller CJ.
PMID: 33194378
PeerJ. 2020 Nov 04;8:e10063. doi: 10.7717/peerj.10063. eCollection 2020.

Molecular sequences carry information. Analysis of sequence conservation between homologous loci is a proven approach with which to explore the information content of molecular sequences. This is often done using multiple sequence alignments to support comparisons between homologous loci....

Cite
Humphrey S, Kerr A, Rattray M, et al. A model of . PeerJ. 2020;8:e10063doi: 10.7717/peerj.10063.
Humphrey, S., Kerr, A., Rattray, M., Dive, C., & Miller, C. J. (2020). A model of . PeerJ, 8e10063. https://doi.org/10.7717/peerj.10063
Humphrey, Sam, et al. "A model of ." PeerJ vol. 8 (2020): e10063. doi: https://doi.org/10.7717/peerj.10063
Humphrey S, Kerr A, Rattray M, Dive C, Miller CJ. A model of . PeerJ. 2020 Nov 04;8:e10063. doi: 10.7717/peerj.10063. eCollection 2020. PMID: 33194378; PMCID: PMC7648452.
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Assessment of an ECG-Based System for Localizing Ventricular Arrhythmias in Patients With Structural Heart Disease.

Journal of the American Heart Association

Zhou S, AbdelWahab A, Sapp JL, Sung E, Aronis KN, Warren JW, MacInnis PJ, Shah R, Horáček BM, Berger R, Tandri H, Trayanova NA, Chrispin J.
PMID: 34612085
J Am Heart Assoc. 2021 Oct 19;10(20):e022217. doi: 10.1161/JAHA.121.022217. Epub 2021 Oct 06.

Background We have previously developed an intraprocedural automatic arrhythmia-origin localization (AAOL) system to identify idiopathic ventricular arrhythmia origins in real time using a 3-lead ECG. The objective was to assess the localization accuracy of ventricular tachycardia (VT) exit and...

Cite
Zhou S, AbdelWahab A, Sapp JL, et al. Assessment of an ECG-Based System for Localizing Ventricular Arrhythmias in Patients With Structural Heart Disease. J Am Heart Assoc. 2021;10(20):e022217doi: 10.1161/JAHA.121.022217.
Zhou, S., AbdelWahab, A., Sapp, J. L., Sung, E., Aronis, K. N., Warren, J. W., MacInnis, P. J., Shah, R., Horáček, B. M., Berger, R., Tandri, H., Trayanova, N. A., & Chrispin, J. (2021). Assessment of an ECG-Based System for Localizing Ventricular Arrhythmias in Patients With Structural Heart Disease. Journal of the American Heart Association, 10(20), e022217. https://doi.org/10.1161/JAHA.121.022217
Zhou, Shijie, et al. "Assessment of an ECG-Based System for Localizing Ventricular Arrhythmias in Patients With Structural Heart Disease." Journal of the American Heart Association vol. 10,20 (2021): e022217. doi: https://doi.org/10.1161/JAHA.121.022217
Zhou S, AbdelWahab A, Sapp JL, Sung E, Aronis KN, Warren JW, MacInnis PJ, Shah R, Horáček BM, Berger R, Tandri H, Trayanova NA, Chrispin J. Assessment of an ECG-Based System for Localizing Ventricular Arrhythmias in Patients With Structural Heart Disease. J Am Heart Assoc. 2021 Oct 19;10(20):e022217. doi: 10.1161/JAHA.121.022217. Epub 2021 Oct 06. PMID: 34612085; PMCID: PMC8751877.
Copy Download .nbib Format: NLM
Showing 289 to 292 of 292 entries