Quantitative image-based collagen structural features predict the reversibility of hepatitis C virus-induced liver fibrosis post antiviral therapies

10.1038/s41598-023-33567-4

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Main Authors: Gole, L, Liu, F, Ong, KH, Li, L, Han, H, Young, D, Marini, GPL, Wee, A, Zhao, J, Rao, H, Yu, W, Wei, L
Other Authors: MECHANOBIOLOGY INSTITUTE
Format: Article
Published: Springer Science and Business Media LLC 2023
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/241622
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-2416222024-04-17T06:19:32Z Quantitative image-based collagen structural features predict the reversibility of hepatitis C virus-induced liver fibrosis post antiviral therapies Gole, L Liu, F Ong, KH Li, L Han, H Young, D Marini, GPL Wee, A Zhao, J Rao, H Yu, W Wei, L MECHANOBIOLOGY INSTITUTE PATHOLOGY CHEMISTRY PATHOLOGY INSTITUTE OF SYSTEMS SCIENCE Humans Antiviral Agents Hepacivirus Hepatitis C Liver Cirrhosis Collagen Hepatitis C, Chronic 10.1038/s41598-023-33567-4 Scientific Reports 13 1 6384- 2023-06-07T01:04:35Z 2023-06-07T01:04:35Z 2023-12-01 2023-06-06T04:41:46Z Article Gole, L, Liu, F, Ong, KH, Li, L, Han, H, Young, D, Marini, GPL, Wee, A, Zhao, J, Rao, H, Yu, W, Wei, L (2023-12-01). Quantitative image-based collagen structural features predict the reversibility of hepatitis C virus-induced liver fibrosis post antiviral therapies. Scientific Reports 13 (1) : 6384-. ScholarBank@NUS Repository. https://doi.org/10.1038/s41598-023-33567-4 2045-2322 https://scholarbank.nus.edu.sg/handle/10635/241622 Springer Science and Business Media LLC Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Humans
Antiviral Agents
Hepacivirus
Hepatitis C
Liver Cirrhosis
Collagen
Hepatitis C, Chronic
spellingShingle Humans
Antiviral Agents
Hepacivirus
Hepatitis C
Liver Cirrhosis
Collagen
Hepatitis C, Chronic
Gole, L
Liu, F
Ong, KH
Li, L
Han, H
Young, D
Marini, GPL
Wee, A
Zhao, J
Rao, H
Yu, W
Wei, L
Quantitative image-based collagen structural features predict the reversibility of hepatitis C virus-induced liver fibrosis post antiviral therapies
description 10.1038/s41598-023-33567-4
author2 MECHANOBIOLOGY INSTITUTE
author_facet MECHANOBIOLOGY INSTITUTE
Gole, L
Liu, F
Ong, KH
Li, L
Han, H
Young, D
Marini, GPL
Wee, A
Zhao, J
Rao, H
Yu, W
Wei, L
format Article
author Gole, L
Liu, F
Ong, KH
Li, L
Han, H
Young, D
Marini, GPL
Wee, A
Zhao, J
Rao, H
Yu, W
Wei, L
author_sort Gole, L
title Quantitative image-based collagen structural features predict the reversibility of hepatitis C virus-induced liver fibrosis post antiviral therapies
title_short Quantitative image-based collagen structural features predict the reversibility of hepatitis C virus-induced liver fibrosis post antiviral therapies
title_full Quantitative image-based collagen structural features predict the reversibility of hepatitis C virus-induced liver fibrosis post antiviral therapies
title_fullStr Quantitative image-based collagen structural features predict the reversibility of hepatitis C virus-induced liver fibrosis post antiviral therapies
title_full_unstemmed Quantitative image-based collagen structural features predict the reversibility of hepatitis C virus-induced liver fibrosis post antiviral therapies
title_sort quantitative image-based collagen structural features predict the reversibility of hepatitis c virus-induced liver fibrosis post antiviral therapies
publisher Springer Science and Business Media LLC
publishDate 2023
url https://scholarbank.nus.edu.sg/handle/10635/241622
_version_ 1800915849136046080