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of 3 183
pro vyhledávání: '"A. Fyles"'
During the SARS-CoV-2 pandemic, polymerase chain reaction (PCR) and lateral flow device (LFD) tests were frequently deployed to detect the presence of SARS-CoV-2. Many of these tests were singleplex, and only tested for the presence of a single patho
Externí odkaz:
http://arxiv.org/abs/2408.17239
Autor:
Dy, Amanda, Nguyen, Ngoc-Nhu Jennifer, Mirjahanmardi, Seyed Hossein, Dawe, Melanie, Fyles, Anthony, Shi, Wei, Liu, Fei-Fei, Androutsos, Dimitrios, Done, Susan, Khademi, April
Deep learning systems have been proposed to improve the objectivity and efficiency of Ki- 67 PI scoring. The challenge is that while very accurate, deep learning techniques suffer from reduced performance when applied to out-of-domain data. This is a
Externí odkaz:
http://arxiv.org/abs/2307.03872
Autor:
Mellor, Jonathon, Christie, Rachel, Paton, Robert S, Leslie, Rhianna, Tang, Maria, Fyles, Martyn, Deeny, Sarah, Ward, Thomas, Overton, Christopher E
Hospitalisations from COVID-19 with Omicron sub-lineages have put a sustained pressure on the English healthcare system. Understanding the expected healthcare demand enables more effective and timely planning from public health. We collect syndromic
Externí odkaz:
http://arxiv.org/abs/2306.05762
Autor:
Mellor, Jonathon, Overton, Christopher E, Fyles, Martyn, Chawner, Liam, Baxter, James, Baird, Tarrion, Ward, Thomas
Following the UK Government's Living with COVID-19 Strategy and the end of universal testing, hospital admissions are an increasingly important measure of COVID-19 pandemic pressure. Understanding leading indicators of admissions at National Health S
Externí odkaz:
http://arxiv.org/abs/2303.12037
Autor:
Thomas Ward, Martyn Fyles, Alex Glaser, Robert S. Paton, William Ferguson, Christopher E. Overton
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract The COVID-19 pandemic led to 231,841 deaths and 940,243 hospitalisations in England, by the end of March 2023. This paper calculates the real-time infection hospitalisation risk (IHR) and infection fatality risk (IFR) using the Office for Na
Externí odkaz:
https://doaj.org/article/a784305234dd411a88410410ab07595e
Autor:
Jonathon Mellor, Martyn Fyles, Robert S. Paton, Alexander Phillips, Christopher E. Overton, Thomas Ward
Publikováno v:
International Journal of Infectious Diseases, Vol 150, Iss , Pp 107307- (2025)
Objectives: Influenza-like-illness (ILI) is a commonly used symptom categorization in seasonal disease surveillance focusing on influenza in community and clinical settings. However, SARS-CoV-2 often causes presentation with a similar symptom profile
Externí odkaz:
https://doaj.org/article/be4f8c4e2766456b9c205328294ba3c1
Autor:
Silva, Miguel E. P., Fyles, Martyn, Pi, Li, Panovska-Griffiths, Jasmina, Jay, Caroline, House, Thomas, Fearon, Elizabeth
Testing for infection with SARS-CoV-2 is an important intervention in reducing onwards transmission of COVID-19, particularly when combined with the isolation and contact-tracing of positive cases. Many countries with the capacity to do so have made
Externí odkaz:
http://arxiv.org/abs/2207.08495
Autor:
Mellor, Jonathon, Fyles, Martyn, Paton, Robert S., Phillips, Alexander, Overton, Christopher E., Ward, Thomas
Publikováno v:
In International Journal of Infectious Diseases January 2025 150
Autor:
Thomas Ward, Christopher E. Overton, Robert S. Paton, Rachel Christie, Fergus Cumming, Martyn Fyles
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract In May 2022, individuals infected with the monkeypox virus were detected in the UK without clear travel links to endemic areas. Understanding the clinical characteristics and infection severity of mpox is necessary for effective public healt
Externí odkaz:
https://doaj.org/article/3b1c7049921c4113a259617b27ceaabf
AI improves accuracy, agreement and efficiency of pathologists for Ki67 assessments in breast cancer
Autor:
Amanda Dy, Ngoc-Nhu Jennifer Nguyen, Julien Meyer, Melanie Dawe, Wei Shi, Dimitri Androutsos, Anthony Fyles, Fei-Fei Liu, Susan Done, April Khademi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The Ki-67 proliferation index (PI) guides treatment decisions in breast cancer but suffers from poor inter-rater reproducibility. Although AI tools have been designed for Ki-67 assessment, their impact on pathologists' work remains understud
Externí odkaz:
https://doaj.org/article/f9b9e47961d24ef08c73f4a58d8c88d8