A new method for the high-precision assessment of tumor changes in response to treatment
- Submitting institution
-
The University of Manchester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 84507586
- Type
- D - Journal article
- DOI
-
10.1093/bioinformatics/bty115
- Title of journal
- Bioinformatics
- Article number
- -
- First page
- 2625
- Volume
- 34
- Issue
- 15
- ISSN
- 1367-4803
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
8
- Research group(s)
-
B - Info, Imag & DS
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "This paper demonstrates a factor of 16 reduction in sample size needed in drug trials, as reported in several national meetings including CRUK.
Awarded the 2018 ""TurnKey Innovation"" in the 3Rs, by the ""Animal Lab News"" Magazine.
Enabled Cancer Research UK funding (C19221/A28683) ""National cancer Imaging Translational Accelerator"", GBP9,900,000 (value to Manchester GBP1,400,000).
Top 5% of all research outputs scored by Altmetric (https://oxfordjournals.altmetric.com/details/34319682)."
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
