Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Adam G. Berman"'
Publikováno v:
EBioMedicine, Vol 82, Iss , Pp 104160- (2022)
Summary: Background: Intestinal metaplasia (IM) is pre-neoplastic with variable cancer risk. Cytosponge-TFF3 test can detect IM. We aimed to 1) assess whether quantitative TFF3 scores can distinguish clinically relevant Barrett's oesophagus (BO) (C
Externí odkaz:
https://doaj.org/article/69d631ddab0342ce8ad983a02e809fef
Autor:
Marcel Gehrung, Florian Markowetz, Adam G. Berman, Mireia Crispin-Ortuzar, Rebecca C. Fitzgerald, Maria O'Donovan
Publikováno v:
Nature Medicine. 27:833-841
Deep learning methods have been shown to achieve excellent performance on diagnostic tasks, but how to optimally combine them with expert knowledge and existing clinical decision pathways is still an open challenge. This question is particularly impo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e16f5e0ee4ecfc5ef8fdba4012123b31
https://doi.org/10.1038/s41591-021-01287-9
https://doi.org/10.1038/s41591-021-01287-9
Barrett’s esophagus containing intestinal metaplasia predisposes to cancer, yet the majority of cases are undiagnosed. The length of a Barrett’s segment is a key indicator of cancer risk, but measuring it has so far relied on endoscopy, which is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95121d1d73a7ca6a442673ed40cb19b9
https://doi.org/10.1101/2021.08.20.21262366
https://doi.org/10.1101/2021.08.20.21262366
The inspection of stained tissue slides by pathologists is essential for the early detection, diagnosis and monitoring of disease. Recently, deep learning methods for the analysis of whole-slide images (WSIs) have shown excellent performance on these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4128dd91564b76874aa4a0b02afd3ea
https://doi.org/10.1101/2021.07.07.21260138
https://doi.org/10.1101/2021.07.07.21260138
Autor:
Edith M. Ross, Darren Ennis, Florian Markowetz, Teodora Goranova, David B. Morse, Ke Yuan, James D. Brenton, Jeremy A. Pike, Adam G. Berman, Anna M. Piskorz, Iain A. McNeish, Geoff Macintyre
Publikováno v:
JCO clinical cancer informatics. 5
PURPOSE Chromosomal aberration and DNA copy number change are robust hallmarks of cancer. The gold standard for detecting copy number changes in tumor cells is fluorescence in situ hybridization (FISH) using locus-specific probes that are imaged as f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15fdbed1105e04c5f541bb7716977e35
https://pubmed.ncbi.nlm.nih.gov/33570999
https://pubmed.ncbi.nlm.nih.gov/33570999
Autor:
Florian Markowetz, Maria O'Donovan, Marcel Gehrung, Mireia Crispin-Ortuzar, Rebecca C. Fitzgerald, Adam G. Berman
Deep learning methods have been shown to achieve excellent performance on diagnostic tasks, but it is still an open challenge how to optimally combine them with expert knowledge and existing clinical decision pathways. This question is particularly i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45c9bd8e109de96244ebda8616639873
https://doi.org/10.1101/2020.07.16.20154732
https://doi.org/10.1101/2020.07.16.20154732
Autor:
Marcel, Gehrung, Mireia, Crispin-Ortuzar, Adam G, Berman, Maria, O'Donovan, Rebecca C, Fitzgerald, Florian, Markowetz
Publikováno v:
Nature medicine. 27(5)
Deep learning methods have been shown to achieve excellent performance on diagnostic tasks, but how to optimally combine them with expert knowledge and existing clinical decision pathways is still an open challenge. This question is particularly impo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::1eaa308dbbd4d106c4aa9b985872de56
https://pubmed.ncbi.nlm.nih.gov/33859411
https://pubmed.ncbi.nlm.nih.gov/33859411