Skip to main navigation
Skip to search
Skip to main content
University of Edinburgh Research Explorer Home
Help & FAQ
Home
Research output
Profiles
Research units
Projects
Datasets
Prizes
Activities
Press/Media
Equipment
Search by expertise, name or affiliation
A molecular phenomic approach to define the high-risk NAFLD population
Fallowfield, Jonathan
(Principal Investigator)
Kendall, Tim
(Co-investigator)
Ramachandran, Prakash
(Co-investigator)
Deanery of Clinical Sciences
Overview
Fingerprint
Research output
(2)
Project Details
Status
Finished
Effective start/end date
1/10/20
→
31/05/22
Funding
UK-based charities:
£49,623.00
View all
View less
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Electronic Health Record
Immunology and Microbiology
100%
Thyroid Hormone
Immunology and Microbiology
66%
Body Mass
Immunology and Microbiology
66%
Transcriptomics
Immunology and Microbiology
66%
Regulon
Immunology and Microbiology
66%
RNA Sequence
Immunology and Microbiology
66%
Differential Gene Expression
Immunology and Microbiology
66%
Gene Expression Assay
Immunology and Microbiology
66%
Research output
Research output per year
2023
2023
2023
2
Article
Research output per year
Research output per year
A data-driven approach to decode metabolic dysfunction-associated steatotic liver disease
Jimenez-Ramos, M.
,
Kendall, T. J.
,
Drozdov, I.
&
Fallowfield, J. A.
,
20 Dec 2023
,
In:
Annals of Hepatology.
p. 101278
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Metabolic Dysfunction-Associated Steatotic Liver Disease
100%
Artificial Intelligence
100%
Electronic Health Record
50%
Biological Marker
12%
Public Health
12%
An integrated gene-to-outcome multimodal database for metabolic dysfunction-associated steatotic liver disease
Kendall, T. J.
,
Jimenez-Ramos, M.
,
Turner, F.
,
Ramachandran, P.
,
Minnier, J.
,
McColgan, M. D.
,
Masood, A.
,
Ellis, H.
,
Dunbar, D. R.
,
Kohnen, G.
,
Konanahalli, P.
,
Oien, K. A.
,
Bandiera, L.
,
Menolascina, F.
,
Juncker-Jensen, A.
,
Alexander, D.
,
Mayor, C.
,
Guha, I. N.
&
Fallowfield, J. A.
,
30 Oct 2023
,
In:
Nature Medicine.
29
,
11
,
p. 2939–2953
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Body Mass
100%
Electronic Health Record
100%
Transcriptomics
100%
Regulon
100%
RNA Sequence
100%