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UID:pretalx-juliacon2023-YD7DUP@pretalx.com
DTSTART;TZID=EST:20230727T113000
DTEND;TZID=EST:20230727T120000
DESCRIPTION:Physiologically based pharmacokinetic (PBPK) models characteriz
 e a drug’s distribution in the body using prior knowledge. Bayesian tool
 s are well suited to infer PBPK model parameters using the informative pri
 or knowledge available while quantifying the parameter uncertainty. The pr
 esentation will review a full Bayesian hierarchical PBPK modeling framewor
 k in Julia\, using the SciML ecosystem and Turing.jl\, to accurately infer
  the posterior distributions of the parameters of interest.
DTSTAMP:20260716T043327Z
LOCATION:32-D463 (Star)
SUMMARY:Open-Source Bayesian Hierarchical PBPK Modeling in Julia - Ahmed El
 mokadem
URL:https://pretalx.com/juliacon2023/talk/YD7DUP/
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UID:pretalx-juliacon2023-PHRQZ9@pretalx.com
DTSTART;TZID=EST:20230728T160000
DTEND;TZID=EST:20230728T163000
DESCRIPTION:As Julia usage continues to grow within regulated biomedical en
 vironments\, it is vital to ensure analyses are traceable and reproducible
 . Conducting analyses in an open-science manner is also critical to expand
  the adoption of Julia and to facilitate the infrastructure growth of Juli
 a as an accessible ecosystem. A step-by-step model-building example of a c
 lassic monoclonal antibody-drug conjugate PBPK/tumor dynamics system illus
 trates how to develop such a reproducible open-science framework.
DTSTAMP:20260716T043327Z
LOCATION:32-D463 (Star)
SUMMARY:Immuno-Oncology QSP Modeling Using Open-Science Julia Solvers - Ahm
 ed Elmokadem
URL:https://pretalx.com/juliacon2023/talk/PHRQZ9/
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