Predicting prognosis in Crohn’s disease

Biasci, Daniele

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Thesis (PDF, 24Mb)

Authors

Biasci, Daniele

Advisors

Smith, Kenneth G. C.

Date

2017-09-15

Awarding Institution

University of Cambridge

Author Affiliation

Medicine

Qualification

Doctor of Philosophy (PhD)

Language

English

Type

Thesis

Metadata

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Citation

Biasci, D. (2017). Predicting prognosis in Crohn’s disease (Doctoral thesis). https://doi.org/10.17863/CAM.16875

Keywords

Crohn’s disease, Ulcerative colitis, IBD, Autoimmune diseases, Prediction, Machine learning, Prognosis, Outcome, Personalised medicine, Genetics of prognosis, qPCR test, genome-wide association study, GWA

Sponsorship

Marie Curie PhD Fellowship (TranSVIR FP7-PEOPLE-ITN-2008 238756) Wellcome Trust, Translation Fund Award (UNS14446); Personalised Therapy in Crohn’s Disease; £4'213'914 (Smith KGC, Lyons PA, Lee JC, Biasci D, Parkes M); Aug 2016 - Aug 2020; Crohn’s and Colitis UK, Medical Research Award (M/14/2); Genetics of Prognosis in Crohn’s Disease; £107'680 (Smith KGC, Lee JC, Biasci D, Parkes M); Jun 2014 - Aug 2016; Evelyn Trust, Research Grant (17/07); Genetics of Prognosis in Crohn’s Disease; £44’250 Smith KGC, Lee JC, Biasci D, Parkes M); July 2014 - July 2015;

Embargo Lift Date

2100-01-01

Identifiers

This record's DOI: https://doi.org/10.17863/CAM.16875

Rights

Licence URL: https://www.rioxx.net/licenses/all-rights-reserved/