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https://hdl.handle.net/1959.11/18464| Title: | Building Predictive Algorithms to Accurately and Objectively Diagnose Coeliac Disease from both Histological and Gene Expression Data | Contributor(s): | Charlesworth, R P G (author); Andronicos, N M (author) ; Scott, D R (author); McFarlane, J (author) ; Agnew, L L (author) |
Publication Date: | 2015 | Handle Link: | https://hdl.handle.net/1959.11/18464 | Abstract: | Introduction: Coeliac Disease (CD) is a chronic autoimmune disorder targeted against the harmless grain protein gliadin which affects around 1 in 300 people worldwide. CD is currently diagnosed using both serological and histological metrics although there is debate as to the accuracy of these measures. | Publication Type: | Conference Publication | Conference Details: | BioInquirer 2015: 8th BioInquirer Conference on Inter Sectoral Collaboration for Healthcare Delivery and Education, Welisara, Sri Lanka, 14th November, 2015 | Source of Publication: | IIHS Academic Sessions 2015: Conference Proceedings, p. 74-74 | Publisher: | International Institute of Health Sciences | Place of Publication: | Sri Lanka | ISSN: | 2465-6232 | Fields of Research (FoR) 2008: | 110307 Gastroenterology and Hepatology 110703 Autoimmunity |
Fields of Research (FoR) 2020: | 320209 Gastroenterology and hepatology 320403 Autoimmunity |
Socio-Economic Objective (SEO) 2008: | 920108 Immune System and Allergy 920105 Digestive System Disorders |
Socio-Economic Objective (SEO) 2020: | 200101 Diagnosis of human diseases and conditions | HERDC Category Description: | E3 Extract of Scholarly Conference Publication | Series Name: | Bio Inquirer Journal | Series Number : | Volume 1, Issue 1 |
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| Appears in Collections: | Conference Publication |
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