Biotechnologie - Empfehlungen und Anforderungen für prädiktive Berechnungsmodelle in der Forschung zur personalisierten Medizin - Teil 1: Leitlinien für die Erstellung, Verifizierung und Validierung von Modellen
Englischer Titel
Biotechnology - Predictive computational models in personalized medicine research - Part 1: Constructing, verifying and validating models
Pharmacokinetic/-dynamic modelling and in silico trial simulations
General
Challenges
Artificial intelligence models
General
Challenges
Standardization needs for computational models
General
Challenges
Common standards relevant for personalized medicine
Data preparation for integration into computer models
General
Sampling data
Data formatting
Data description
Data annotation (semantics)
Data interoperability requirements across subdomains
General
Challenges
Data integration
Data provenance information
Data access
Model formatting
Model validation
General
Specific recommendations for model validation
Model simulation
General
Requirements for capturing and sharing simulation set-ups
Requirements for capturing and sharing simulation results
Requirements for model storing and sharing
Application of models in clinical trials and research
General
Specific recommendations
Ethical requirements for modelling in personalized medicine
Common standards relevant for personalized medicine and in silico approaches (informative)
Information on modelling approaches relevant for personalized medicine (informative)
Risk prediction for common diseases
Artificial intelligence models
Minimum amount of information to understand a model
Bibliography
ICS
07.080
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