Predicting prognosis in Crohn’s disease

Biasci, Daniele

View / Open Files

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

Show full item record

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/

Statistics

Total file downloads (since January 2020). For more information on metrics see the IRUS guide.