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Hierarchical Bayesian Methods for Efficient Generation of Virtual Populations for Quantitative Systems Pharmacology (QSP)

Hierarchical Bayesian Methods for Efficient Generation of Virtual Populations for Quantitative Systems Pharmacology (QSP) - JuliaHub Webinar

On-Demand Webinar

Are you a QSP modeler looking to improve your construction of large, expensive virtual population sets? This free JuliaHub Webinar is for you - Dr. Haris Organtzidis shares his expertise on advanced virtual population generation methods versus more standard naive methods.

You will gain valuable insight into:

  • The inefficiencies and limitations of the naïve virtual population methods.

  • The trick to generating virtual populations more efficiently by explicitly modeling a population of patients, noise in the data, and domain expertise in the form of prior distributions using hierarchical Bayesian methods.

  • Applying and using Bayesian methods with JuliaHub’s PumasQSP.

Speakers

Dr. Haris Organtzidis
Software Engineer

Access this Webinar for free