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H2020_MSCA-IFEF_LESODYMAS
Tino, Peter
(Principal Investigator)
Arlt, Wiebke
(Co-Investigator)
Computer Science
Metabolism and Systems Science
Overview
Fingerprint
Research output
(1)
Project Details
Short title
H2020_MSCA-IFEF_LESODYMAS
Status
Finished
Effective start/end date
13/07/15
→
12/07/17
Funding
European Commission
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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.
Pharmacokinetic Model
Keyphrases
100%
Prednisone
Keyphrases
100%
Mixture Model
Mathematics
100%
Pharmacokinetics
Pharmacology, Toxicology and Pharmaceutical Science
100%
Glucocorticoid
Pharmacology, Toxicology and Pharmaceutical Science
100%
Latent Variable Mixture Models
Keyphrases
66%
Identifiability
Mathematics
50%
Predictive Power
Mathematics
50%
Research output
Research output per year
2018
2018
2018
1
Article
Research output per year
Research output per year
Learning pharmacokinetic models for in vivo glucocorticoid activation
Bunte, K.,
Smith, D.
, Chappell, M. J., Hassan-Smith, Z., Tomlinson, J.,
Arlt, W.
&
Tino, P.
,
14 Oct 2018
,
In:
Journal of Theoretical Biology.
455
,
p. 222-231
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Prednisone
100%
Pharmacokinetic Model
100%
Mixture Model
100%
Pharmacokinetics
100%
Glucocorticoid
100%
3
Citations (Scopus)
250
Downloads (Pure)