Output details
11 - Computer Science and Informatics
University of Northumbria at Newcastle
Article title
A Hybrid Cellular Automaton Model of Solid Tumor Growth and Bioreductive Drug Transport
Type
D - Journal article
Title of journal
IEEE/ACM Transactions on Computational Biology and Bioinformatics
Article number
-
Volume number
9
Issue number
6
First page of article
1595
ISSN of journal
1545-5963
Year of publication
2012
Number of additional authors
2
Additional information
<28>This paper proposed an intelligent in-silico model for tumour growth dynamics with maximum number of micro-environmental parameters, which leads to a better drug transport model. The research was conducted with the Institute of Cancer Therapeutics and Bradford Royal Infirmary hospital. Conference version of this research nominated for best paper award (top 10 out of 475) in IEEE Computer and Information Technology (Bradford, UK 2010). The approach was also presented in an invited talk at the Newcastle University, Australia.
Interdisciplinary
Yes
Cross-referral requested
3 - Allied Health Professions, Dentistry, Nursing and Pharmacy
Research group
None
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
