Building Predictive Algorithms to Accurately and Objectively Diagnose Coeliac Disease from both Histological and Gene Expression Data

R P G Charlesworth; N M Andronicos; D R Scott; J McFarlane; L L Agnew

Building Predictive Algorithms to Accurately and Objectively Diagnose Coeliac Disease from both Histological and Gene Expression Data

R P G Charlesworth
, N M Andronicos
, D R Scott
, J McFarlane
, L L Agnew

Research output: Contribution to conference › Abstract

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.

Original language	English
Pages	74-74
Publication status	Published - 31 Dec 2015
Event	BioInquirer 2015: 8th BioInquirer Conference on Inter Sectoral Collaboration for Healthcare Delivery and Education - Welisara, Sri Lanka Duration: 14 Nov 2015 → …

Other

Other	BioInquirer 2015: 8th BioInquirer Conference on Inter Sectoral Collaboration for Healthcare Delivery and Education
City	Welisara, Sri Lanka
Period	14/11/15 → …

Keywords

Autoimmunity
Gastroenterology and Hepatology

Access to Document

https://hdl.handle.net/1959.11/18464

Handle.net

Persistent link

Cite this

Charlesworth, R. P. G., Andronicos, N. M., Scott, D. R., McFarlane, J., & Agnew, L. L. (2015). Building Predictive Algorithms to Accurately and Objectively Diagnose Coeliac Disease from both Histological and Gene Expression Data. 74-74. Abstract from BioInquirer 2015: 8th BioInquirer Conference on Inter Sectoral Collaboration for Healthcare Delivery and Education, Welisara, Sri Lanka. https://hdl.handle.net/1959.11/18464

@conference{8c6de83e7e634b829f07f9b780f0c046,

title = "Building Predictive Algorithms to Accurately and Objectively Diagnose Coeliac Disease from both Histological and Gene Expression Data",

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.",

keywords = "Autoimmunity, Gastroenterology and Hepatology",

author = "Charlesworth, \{R P G\} and Andronicos, \{N M\} and Scott, \{D R\} and J McFarlane and Agnew, \{L L\}",

year = "2015",

month = dec,

day = "31",

language = "English",

pages = "74--74",

note = "BioInquirer 2015: 8th BioInquirer Conference on Inter Sectoral Collaboration for Healthcare Delivery and Education ; Conference date: 14-11-2015",

}

Charlesworth, RPG, Andronicos, NM, Scott, DR, McFarlane, J & Agnew, LL 2015, 'Building Predictive Algorithms to Accurately and Objectively Diagnose Coeliac Disease from both Histological and Gene Expression Data', BioInquirer 2015: 8th BioInquirer Conference on Inter Sectoral Collaboration for Healthcare Delivery and Education, Welisara, Sri Lanka, 14/11/15 pp. 74-74. <https://hdl.handle.net/1959.11/18464>

Building Predictive Algorithms to Accurately and Objectively Diagnose Coeliac Disease from both Histological and Gene Expression Data. / Charlesworth, R P G; Andronicos, N M; Scott, D R et al.
2015. 74-74 Abstract from BioInquirer 2015: 8th BioInquirer Conference on Inter Sectoral Collaboration for Healthcare Delivery and Education, Welisara, Sri Lanka.

Research output: Contribution to conference › Abstract

TY - CONF

T1 - Building Predictive Algorithms to Accurately and Objectively Diagnose Coeliac Disease from both Histological and Gene Expression Data

AU - Charlesworth, R P G

AU - Andronicos, N M

AU - Scott, D R

AU - McFarlane, J

AU - Agnew, L L

PY - 2015/12/31

Y1 - 2015/12/31

N2 - 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.

AB - 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.

KW - Autoimmunity

KW - Gastroenterology and Hepatology

M3 - Abstract

SP - 74

EP - 74

T2 - BioInquirer 2015: 8th BioInquirer Conference on Inter Sectoral Collaboration for Healthcare Delivery and Education

Y2 - 14 November 2015

ER -

Building Predictive Algorithms to Accurately and Objectively Diagnose Coeliac Disease from both Histological and Gene Expression Data

Abstract

Other

Keywords

Access to Document

Handle.net

Fingerprint

Cite this