Zobrazeno 1 - 10
of 40
pro vyhledávání: '"James Hare"'
Autor:
Mon Myat Oo, Chuang Gao, Christian Cole, Yoran Hummel, Magalie Guignard‐Duff, Emily Jefferson, James Hare, Adriaan A. Voors, Rudolf A. deBoer, Carolyn S.P. Lam, Ify R. Mordi, Jasper Tromp, Chim C. Lang
Publikováno v:
ESC Heart Failure, Vol 11, Iss 5, Pp 2769-2777 (2024)
Abstract Aims Electronic health records (EHR) linked to Digital Imaging and Communications in Medicine (DICOM), biological specimens, and deep learning (DL) algorithms could potentially improve patient care through automated case detection and survei
Externí odkaz:
https://doaj.org/article/2870b87907db4df9839419fb8ce23508
Autor:
Natalie L. Montarello, Iain Irvine, Victoria Warner, James Hare, David Kaye, Geoffrey C. Cloud
Publikováno v:
BMC Neurology, Vol 24, Iss 1, Pp 1-6 (2024)
Abstract Background Reversible cerebral vasoconstriction syndrome (RCVS) is characterized by diffuse, multifocal segmental narrowing of cerebral arteries and can result in ischaemic stroke. Causal factors, identified in 60% of cases, include immunosu
Externí odkaz:
https://doaj.org/article/672ad6755c464f5bb587dc4869a9c493
Autor:
Snehansh Roy Chaudhary, Mohamed Chunara, Chris McLeavy, Haisum Qayyum, James Cusack, David Paton, James Hare, Akash Ganguly
Publikováno v:
Indian Journal of Radiology and Imaging, Vol 33, Iss 02, Pp 187-194 (2023)
Objectives Cerebral venous sinus thrombosis is an important cause of stroke in young adults. Noncontrast-enhanced CT head (NECT) is almost always the first investigation. Our objectives were as follows: 1. How accurately does venous sinus density on
Externí odkaz:
https://doaj.org/article/115b5ca1b6874a20b49d7fec98c2cf3c
Publikováno v:
Artery Research, Vol 25, Iss 1 (2020)
Background: A hypertensive response to submaximal exercise is associated with cardiovascular disease but may be influenced by functional capacity. Spironolactone may improve functional capacity, which could mask treatment effects on exercise blood pr
Externí odkaz:
https://doaj.org/article/83f8c539f31d4ab7a5f1fe21b3768393
Autor:
Schultz Martin, Ann-Marie Kovacevic, Philip Roberts-Thomson, Tony Stanton, Christian Hamilton-Craig, Sudir Wahi, James Hare, Joseph Selvanayagam, Andrew Maiorana, Alison Venn, James Sharman
Publikováno v:
Artery Research, Vol 25, Iss 1 (2020)
Background: Exaggerated blood pressure (BP) during submaximal exercise independently predicts cardiovascular mortality and identifies uncontrolled high BP not detected at rest. However, thresholds for submaximal exercise BP during clinical exercise t
Externí odkaz:
https://doaj.org/article/986ce3b8dc844d3597f43d0381db7b8d
Autor:
Josephine Warren, Caitlin Cheshire, Sarah Gutman, James Hare, Andrew Taylor, Hitesh Patel, Peter Bergin, Adam Zimmet, Silvana Marasco, David Kaye, Angeline Leet
Publikováno v:
JACC: Case Reports. 4:977-981
Autor:
Samer Noaman, Christopher Neil, Jessica O’Brien, Michael Frenneaux, James Hare, Bing Wang, Tsin Yee Tai, James Theuerle, James Shaw, Dion Stub, Jason Bloom, Antony Walton, Stephen J Duffy, Karl-Heinz Peter, Nicholas Cox, David M Kaye, Andrew Taylor, William Chan
Publikováno v:
European heart journal. Acute cardiovascular care.
Aims Experimental studies demonstrate protective effects of doxycycline on myocardial ischaemia-reperfusion injury. The trial investigated whether doxycycline administered prior to reperfusion in patients presenting with ST-elevation myocardial infar
Autor:
Mon Myat Oo, Jasper Tromp, Chuang Gao, Y.M. Hummel, Magalie Guignard-Duff, Christian Cole, Emily Jefferson, James Hare, Rudolf A de Boer, Adriaan Voors, Carolyn S P Lam, Chim C Lang
Publikováno v:
Journal of Cardiac Failure. 29:640
Publikováno v:
IEEE Transactions on Signal and Information Processing over Networks. 7:392-405
This paper studies the problem of distributed classification with a network of heterogeneous agents. The agents seek to jointly identify the underlying target class that best describes a sequence of observations. The problem is first abstracted to a
Publikováno v:
IEEE Transactions on Control of Network Systems. 6:1438-1450
This paper presents a distributed algorithm, called prediction-based opportunistic sensing using distributed classification, clustering, and control (POSE.3C), for self adaptation of sensor networks for energy management. The underlying 3C network au