Please use this identifier to cite or link to this item: 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, Richard (author); Andronicos, Nicholas  (author)orcid ; Scott, David (author); McFarlane, James R (author)orcid ; Agnew, Linda  (author)orcid 
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 Name: 8th Bio Inquirer Conference on Inter Sectoral Collaboration for Healthcare Delivery and Education, Welisara, Sri Lanka, 14th November, 2015
Conference Details: 8th Bio Inquirer 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
Field of Research (FOR): 110307 Gastroenterology and Hepatology
110703 Autoimmunity
Socio-Economic Outcome Codes: 920108 Immune System and Allergy
920105 Digestive System Disorders
HERDC Category Description: E3 Extract of Scholarly Conference Publication
Series Name: Bio Inquirer Journal
Series Number : Volume 1, Issue 1
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