Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Trusted Research Environment"'
Autor:
Lisa Scerri, Naimh Adams
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 3 (2024)
Background The BRIDgE platform is the Royal Marsden’s Trusted Research environment, which aims to transform clinical practice and improve outcomes for patients by enabling data analytics and AI development using real-world cancer data within secure
Externí odkaz:
https://doaj.org/article/abbb044184dd4a46b09f12394c7f2a07
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 3 (2024)
Background/Introduction To promote transparency for both the public and researchers [1, 2], our objective was to implement all HDRUK Transparency Standards within the Grampian Data Safe Haven (DaSH) [3] website [4]. Particularly, we aimed to clarify
Externí odkaz:
https://doaj.org/article/b15e032a5d5f4ece924ea443f5f53d31
Akademický článek
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Autor:
Esma Mansouri-Benssassi, Simon Rogers, Smarti Reel, Maeve Malone, Jim Smith, Felix Ritchie, Emily Jefferson
Publikováno v:
Heliyon, Vol 9, Iss 4, Pp e15143- (2023)
Introduction: Artificial intelligence (AI) applications in healthcare and medicine have increased in recent years. To enable access to personal data, Trusted Research Environments (TREs) (otherwise known as Safe Havens) provide safe and secure enviro
Externí odkaz:
https://doaj.org/article/e2e2097fa5994d5ead2858c4a24434f9
Publikováno v:
Data & Policy, Vol 5 (2023)
This work explores the use of Trusted Research Environments for the secure analysis of sensitive, record-level data on local coronavirus disease-2019 (COVID-19) inequalities and economic vulnerabilities. The Local Data Spaces (LDS) project was a targ
Externí odkaz:
https://doaj.org/article/6d5354d9cd5a418e829fc49a5cd5e95c
Autor:
Maria Alvarellos, Hadley E. Sheppard, Ingrid Knarston, Craig Davison, Nathaniel Raine, Thorben Seeger, Pablo Prieto Barja, Maria Chatzou Dunford
Publikováno v:
Frontiers in Genetics, Vol 13 (2023)
Since the first sequencing of the human genome, associated sequencing costs have dramatically lowered, leading to an explosion of genomic data. This valuable data should in theory be of huge benefit to the global community, although unfortunately the
Externí odkaz:
https://doaj.org/article/08b7881899a04f7ab532e867196c032e
Autor:
K Honeyford, P Expert, E.E Mendelsohn, B Post, A.A Faisal, B Glampson, E.K Mayer, C.E Costelloe
Publikováno v:
Frontiers in Digital Health, Vol 4 (2022)
Harnessing Real World Data is vital to improve health care in the 21st Century. Data from Electronic Health Records (EHRs) are a rich source of patient centred data, including information on the patient's clinical condition, laboratory results, diagn
Externí odkaz:
https://doaj.org/article/b41637bb5cb741afbb8e95f65f1b5c42
Autor:
Andy Boyd, Robin Flaig, Jacqui Oakley, Kirsteen Campbell, Katharine Evans, Stella McLachlan, Richard Thomas, Emma Turner
Publikováno v:
International Journal of Population Data Science, Vol 7, Iss 3 (2022)
Objectives The COVID-19 Longitudinal Health and Wellbeing National Core Study utilises data from Longitudinal Population Studies (LPS) and whole-population NHS databases: yet no resource existed linking multiple LPS to COVID-19 records. A centralised
Externí odkaz:
https://doaj.org/article/f081fbb57cd1400e95f3d6071f9e6b03
Autor:
Robin Flaig, Jacqui Oakley, Kirsteen Campbell, Katharine Evans, Stela McLachlan, Richard Thomas, Emma Turner, Andy Boyd
Publikováno v:
International Journal of Population Data Science, Vol 7, Iss 3 (2022)
Objectives The UK Longitudinal Linkage Collaboration (UK LLC) is a new, unprecedented infrastructure enabling research into the COVID-19 pandemic. The UK LLC integrates data from >20 UK longitudinal studies with systematically linked health, administ
Externí odkaz:
https://doaj.org/article/aabb00b504fe402389eea18445f75ea6
Autor:
Chris Orton, David Ford, Aziz Sheikh, Jennifer Quint, Martin Tobin, Ian Hall, Christopher Griffiths, Jonathon Crompton, Monica Fletcher
Publikováno v:
International Journal of Population Data Science, Vol 7, Iss 3 (2022)
Objectives The BREATHE Health Data Research Hub for Respiratory Health was formed in October 2019 as a multi-site academic consortium with multiple industrial partners via an Industry Forum and across its wider network. BREATHE’s main mission is en
Externí odkaz:
https://doaj.org/article/3e2bc896740d45a6aca9e50a6732d066