Zobrazeno 1 - 10
of 201
pro vyhledávání: '"Pau, Herrero"'
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-11 (2022)
Abstract People living with type 1 diabetes (T1D) require lifelong self-management to maintain glucose levels in a safe range. Failure to do so can lead to adverse glycemic events with short and long-term complications. Continuous glucose monitoring
Externí odkaz:
https://doaj.org/article/493ae9dbef0c4d8785e966ec9a470a00
Autor:
Pau Herrero, Richard C. Wilson, Ryan Armiger, Jason A. Roberts, Alison Holmes, Pantelis Georgiou, Timothy M. Rawson
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)
Background and objective: Sub-therapeutic dosing of piperacillin-tazobactam in critically-ill patients is associated with poor clinical outcomes and may promote the emergence of drug-resistant infections. In this paper, an in silico investigation of
Externí odkaz:
https://doaj.org/article/c57dc60040a64d91a965876665f27fbb
Publikováno v:
IEEE Internet of Things Journal. 10:3706-3719
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba90b6ac4e86d2bd02176077aa321b76
https://doi.org/10.1109/jiot.2022.3143375
https://doi.org/10.1109/jiot.2022.3143375
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db6d00b64f94eab7da2662d35792027d
https://doi.org/10.1109/jbhi.2023.3271615
https://doi.org/10.1109/jbhi.2023.3271615
A Deep Learning Framework for Automatic Meal Detection and Estimation in Artificial Pancreas Systems
Publikováno v:
Sensors, Vol 22, Iss 2, p 466 (2022)
Current artificial pancreas (AP) systems are hybrid closed-loop systems that require manual meal announcements to manage postprandial glucose control effectively. This poses a cognitive burden and challenge to users with T1D since this relies on freq
Externí odkaz:
https://doaj.org/article/f791ab78ab134a01beead83a5151acf5
Autor:
Bernard Hernandez, Pau Herrero-Viñas, Timothy M. Rawson, Luke S. P. Moore, Alison H. Holmes, Pantelis Georgiou
Publikováno v:
Antibiotics, Vol 10, Iss 10, p 1267 (2021)
In the last years, there has been an increase of antimicrobial resistance rates around the world with the misuse and overuse of antimicrobials as one of the main leading drivers. In response to this threat, a variety of initiatives have arisen to pro
Externí odkaz:
https://doaj.org/article/ff0922b2c48b4678a10f49064ef4a46c
Autor:
Bernard Hernandez, Pau Herrero, Timothy Miles Rawson, Luke S. P. Moore, Benjamin Evans, Christofer Toumazou, Alison H. Holmes, Pantelis Georgiou
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 17, Iss 1, Pp 1-12 (2017)
Abstract Background Antimicrobial Resistance is threatening our ability to treat common infectious diseases and overuse of antimicrobials to treat human infections in hospitals is accelerating this process. Clinical Decision Support Systems (CDSSs) h
Externí odkaz:
https://doaj.org/article/774f7f5f2d544a5487ba98a0b0db6c41
Autor:
Pantelis Georgiou, Monica Reddy, Nick Oliver, Pau Herrero, Rebecca Unsworth, Ioannis Afentakis
1st dataset 6-months randomized controlled, cross-over study 37 participants wearing CGM sensors and using MDI regimen smartphone app where to record administered insulin and meal macronutrient information diagnosed with T1D for more than 3 years 2nd
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73c3d697c5497b2d4a31cb9ffe3df622
https://doi.org/10.36227/techrxiv.22325803
https://doi.org/10.36227/techrxiv.22325803
Publikováno v:
Mathematics, Vol 9, Iss 6, p 631 (2021)
Complex systems are usually affected by various sources of uncertainty, and it is essential to account for mechanisms that ensure the proper management of such disturbances. This paper introduces a novel approach to solve symbolic regression problems
Externí odkaz:
https://doaj.org/article/de568497a983414ea593d772838ef0a0
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 26:436-445
Blood glucose prediction algorithms are key tools in the development of decision support systems and closed-loop insulin delivery systems for blood glucose control in diabetes. Deep learning models have provided leading results among machine learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f002d4ab7b54ceee9212cfccc14a985
https://doi.org/10.1109/jbhi.2021.3100558
https://doi.org/10.1109/jbhi.2021.3100558