George Nicholson
Overview
Explore the profile of George Nicholson including associated specialties, affiliations and a list of published articles.
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Articles
52
Citations
5947
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Recent Articles
1.
Bajaj S, Chen S, Creswell R, Naidoo R, Tsui J, Kolade O, et al.
Lancet Digit Health
. 2024 Oct;
6(11):e778-e790.
PMID: 39455191
Background: Understanding underlying mechanisms of heterogeneity in test-seeking and reporting behaviour during an infectious disease outbreak can help to protect vulnerable populations and guide equity-driven interventions. The COVID-19 pandemic probably...
2.
Pigoli D, Baker K, Budd J, Butler L, Coppock H, Egglestone S, et al.
Stat Med
. 2024 Sep;
43(25):4861-4871.
PMID: 39237100
From early in the coronavirus disease 2019 (COVID-19) pandemic, there was interest in using machine learning methods to predict COVID-19 infection status based on vocal audio signals, for example, cough...
3.
Hasan B, Barry O, Ali F, Armstrong A, Batlivala S, Crystal M, et al.
J Soc Cardiovasc Angiogr Interv
. 2024 Aug;
2(6Part A):101119.
PMID: 39129900
Background: Safety events and technical success (TS) have been previously reported for aortic and pulmonary valvuloplasty, but a composite performance measure as a novel, patient-centered strategy has neither been developed...
4.
Venkatesh S, Ganjgahi H, Palmer D, Coley K, Linchangco Jr G, Hui Q, et al.
Nat Commun
. 2024 Jul;
15(1):5801.
PMID: 38987242
Obesity is a heritable disease, characterised by excess adiposity that is measured by body mass index (BMI). While over 1,000 genetic loci are associated with BMI, less is known about...
5.
Budd J, Baker K, Karoune E, Coppock H, Patel S, Payne R, et al.
Sci Data
. 2024 Jun;
11(1):700.
PMID: 38937483
The UK COVID-19 Vocal Audio Dataset is designed for the training and evaluation of machine learning models that classify SARS-CoV-2 infection status or associated respiratory symptoms using vocal audio. The...
6.
Falck F, Zhu X, Ghalebikesabi S, Kormaksson M, Vandemeulebroecke M, Zhang C, et al.
J Biomed Inform
. 2024 Apr;
154:104641.
PMID: 38642627
Objective: Clinical trials involve the collection of a wealth of data, comprising multiple diverse measurements performed at baseline and follow-up visits over the course of a trial. The most common...
7.
Ragheb D, Healan S, Frischhertz B, Nicholson G, Janssen D, Bichell D, et al.
JACC Case Rep
. 2024 Apr;
29(9):102294.
PMID: 38576773
A 31-year-old woman with transposition of the great arteries status post-Senning operation presents with severe pulmonary venous baffle obstruction. Both standards of care (percutaneous stenting or open repair) were deemed...
8.
Torabi F, Li G, Mole C, Nicholson G, Rowlingson B, Smith C, et al.
Heliyon
. 2023 Dec;
9(11):e21734.
PMID: 38053867
The evident shedding of the SARS-CoV-2 RNA particles from infected individuals into the wastewater opened up a tantalizing array of possibilities for prediction of COVID-19 prevalence prior to symptomatic case...
9.
Venkatesh S, Ganjgahi H, Palmer D, Coley K, Wittemans L, Nellaker C, et al.
medRxiv
. 2023 Jan;
PMID: 36711652
Obesity is a heritable disease, characterised by excess adiposity that is measured by body mass index (BMI). While over 1,000 genetic loci are associated with BMI, less is known about...
10.
Li G, Denise H, Diggle P, Grimsley J, Holmes C, James D, et al.
Environ Int
. 2023 Jan;
172:107765.
PMID: 36709674
The potential utility of wastewater-based epidemiology as an early warning tool has been explored widely across the globe during the current COVID-19 pandemic. Methods to detect the presence of SARS-CoV-2...