Publication: Complete populations of virtual patients for in silico clinical trials
Date
Date
Date
2021
Journal Article
Published version
Abstract
Abstract
Abstract
Motivation
Model-based approaches to safety and efficacy assessment of pharmacological drugs, treatment strategies or medical devices (In Silico Clinical Trial, ISCT) aim to decrease time and cost for the needed experimentations, reduce animal and human testing, and enable precision medicine. Unfortunately, in presence of non-identifiable models (e.g. reaction networks), parameter estimation is not enough to generate complete populations of Virtual Patients (VPs), i.e. populations guaranteed to show the entire spectrum of model behav
Metrics
Downloads
1 since deposited on 2021-02-11
Acq. date: 2025-11-12
Views
91 since deposited on 2021-02-11
Acq. date: 2025-11-12
Additional indexing
Creators (Authors)
- Sinisi, S
- Alimguzhin, V
- Mancini, T
- Tronci, E
- Leeners, B
Journal/Series Title
Journal/Series Title
Journal/Series Title
Volume
Volume
Volume
36
Number
Number
Number
22-23
Page range/Item number
Page range/Item number
Page range/Item number
5465
Page end
Page end
Page end
5472
Item Type
Item Type
Item Type
Journal Article
In collections
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Keywords
Statistics and Probability, Computational Theory and Mathematics, Biochemistry, Molecular Biology, Computational Mathematics, Computer Science Applications
Language
Language
Language
English
Publication date
Publication date
Publication date
2021-04-01
Date available
Date available
Date available
2021-02-11
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
0435-2866
OA Status
OA Status
OA Status
Closed
Publisher DOI
Metrics
Downloads
1 since deposited on 2021-02-11
Acq. date: 2025-11-12
Views
91 since deposited on 2021-02-11
Acq. date: 2025-11-12
Closed
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Complete_populations_of_virtual_patients.pdfview file PDF|1Download1.07 MB
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