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BMJ Open
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August 7, 2019
Evolution of the burden of active hepatitis C virus infection in England from September 2015 to September 2016: a repeated cross-sectional analysis
Laure Lacoin, Michael Hurst, Nathan R Hill, et al.
Biomicrofluidics
|
August 21, 2009
Rapid on-chip genetic detection microfluidic platform for real world applications
Satyajyoti Senapati, Andrew R Mahon, Jason Gordon, et al.
BMC Health Services Research
|
December 10, 2015
Costs and advance directives at the end of life: a case of the 'Coaching Older Adults and Carers to have their preferences Heard (COACH)' trial
Billingsley Kaambwa, Julie Ratcliffe, Sandra L Bradley, et al.
Pharmacoeconomics
|
April 7, 2020
Estimating the Value of New Antimicrobials in the Context of Antimicrobial Resistance: Development and Application of a Dynamic Disease Transmission Model
Jason Gordon, Oliver Darlington, Phil McEwan, et al.
Plos One
|
November 2, 2019
Predicting atrial fibrillation in primary care using machine learning
Nathan R Hill, Daniel Ayoubkhani, Phil McEwan, et al.
Nature Medicine
|
May 12, 2026
Framework for the pharmacological treatment of obesity and its complications from the European Association for the Study of Obesity (EASO): 2026 update
Andreea Ciudin, Jennifer L Baker, Andrej Belančić, et al.
European Journal of Heart Failure
|
March 16, 2023
Patient-reported outcome measures and patient engagement in heart failure clinical trials: multi-stakeholder perspectives
Faiez Zannad, Jacqueline Alikhaani, Sadegh Alikhaani, et al.
BMC Primary Care
|
January 3, 2024
Undertaking multi-centre randomised controlled trials in primary care: learnings and recommendations from the PULsE-AI trial researchers
Kevin G Pollock, Carissa Dickerson, Manjit Kainth, et al.
Journal of Medical Economics
|
July 14, 2022
Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: cost-effectiveness of a screening strategy evaluated in a randomized controlled trial in England
Nathan R Hill, Lara Groves, Carissa Dickerson, et al.
Contemporary Clinical Trials
|
October 22, 2020
Identification of undiagnosed atrial fibrillation patients using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI): Study protocol for a randomised controlled trial
Nathan R Hill, Chris Arden, Lee Beresford-Hulme, et al.
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of 7
Search research articles
Search
Showing results (51-60 of 62) with videos related to
Sort By:
Page
of 7
BMJ Open
|
August 7, 2019
Evolution of the burden of active hepatitis C virus infection in England from September 2015 to September 2016: a repeated cross-sectional analysis
Laure Lacoin, Michael Hurst, Nathan R Hill, et al.
Biomicrofluidics
|
August 21, 2009
Rapid on-chip genetic detection microfluidic platform for real world applications
Satyajyoti Senapati, Andrew R Mahon, Jason Gordon, et al.
BMC Health Services Research
|
December 10, 2015
Costs and advance directives at the end of life: a case of the 'Coaching Older Adults and Carers to have their preferences Heard (COACH)' trial
Billingsley Kaambwa, Julie Ratcliffe, Sandra L Bradley, et al.
Pharmacoeconomics
|
April 7, 2020
Estimating the Value of New Antimicrobials in the Context of Antimicrobial Resistance: Development and Application of a Dynamic Disease Transmission Model
Jason Gordon, Oliver Darlington, Phil McEwan, et al.
Plos One
|
November 2, 2019
Predicting atrial fibrillation in primary care using machine learning
Nathan R Hill, Daniel Ayoubkhani, Phil McEwan, et al.
Nature Medicine
|
May 12, 2026
Framework for the pharmacological treatment of obesity and its complications from the European Association for the Study of Obesity (EASO): 2026 update
Andreea Ciudin, Jennifer L Baker, Andrej Belančić, et al.
European Journal of Heart Failure
|
March 16, 2023
Patient-reported outcome measures and patient engagement in heart failure clinical trials: multi-stakeholder perspectives
Faiez Zannad, Jacqueline Alikhaani, Sadegh Alikhaani, et al.
BMC Primary Care
|
January 3, 2024
Undertaking multi-centre randomised controlled trials in primary care: learnings and recommendations from the PULsE-AI trial researchers
Kevin G Pollock, Carissa Dickerson, Manjit Kainth, et al.
Journal of Medical Economics
|
July 14, 2022
Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: cost-effectiveness of a screening strategy evaluated in a randomized controlled trial in England
Nathan R Hill, Lara Groves, Carissa Dickerson, et al.
Contemporary Clinical Trials
|
October 22, 2020
Identification of undiagnosed atrial fibrillation patients using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI): Study protocol for a randomised controlled trial
Nathan R Hill, Chris Arden, Lee Beresford-Hulme, et al.
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of 7