P64 CyberLiver Animal Recognition Test (CL-ART): a novel remote monitoring tool to assess hepatic encephalopathy

Kohilan Gananandan; Ahmed El Shabrawi; Mapi Pilar Ballester; Konstantin Kazankov; Karen Louise Thomsen; Raj Mookerjee; Anu Balaji; Ravan Boddu; Ravi Kumar

doi:10.1136/gutjnl-2022-BASL.115

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Abstracts

P64 CyberLiver Animal Recognition Test (CL-ART): a novel remote monitoring tool to assess hepatic encephalopathy

Authors

Kohilan Gananandan University College London, Institute for Liver and Digestive Health, UK PubMed articles Google scholar articles
Ahmed El Shabrawi University College London, Institute for Liver and Digestive Health, UK PubMed articles Google scholar articles
Mapi Pilar Ballester University College London, Institute for Liver and Digestive Health, UK PubMed articles Google scholar articles
Konstantin Kazankov University College London, Institute for Liver and Digestive Health, UK Aarhus University Hospital, Department of Hepatology and Gastroenterology, Aarhus, Denmark PubMed articles Google scholar articles
Karen Louise Thomsen University College London, Institute for Liver and Digestive Health, UK Aarhus University Hospital, Department of Hepatology and Gastroenterology, Aarhus, Denmark PubMed articles Google scholar articles
Raj Mookerjee University College London, Institute for Liver and Digestive Health, UK Aarhus University Hospital, Department of Hepatology and Gastroenterology, Aarhus, Denmark PubMed articles Google scholar articles
Anu Balaji CyberLiver Limited, UK PubMed articles Google scholar articles
Ravan Boddu CyberLiver Limited, UK PubMed articles Google scholar articles
Ravi Kumar CyberLiver Limited, UK PubMed articles Google scholar articles

Citation

Gananandan K, Shabrawi AE, Ballester MP, et al

P64 CyberLiver Animal Recognition Test (CL-ART): a novel remote monitoring tool to assess hepatic encephalopathy

Gut 2022;71:A78-A79.

Publication history

First published September 20, 2022.

Online issue publication

September 20, 2022

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