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UID:pretalx-juliacon-2026-LCUBGM@pretalx.com
DTSTART;TZID=CET:20260813T150000
DTEND;TZID=CET:20260813T151500
DESCRIPTION:As the pharmaceutical industry shifts toward Model-Informed Dru
 g Development (MIDD) and complex pharmacometric simulations\, the Julia pr
 ogramming language has emerged as a frontrunner due to the availability of
  specialized ecosystem for Pharmacometrics (Through Pumas\, SciML and Juli
 aDiff packages) and support for High Performance Computing\, and interoper
 ability.\n\nHowever\, deploying Julia in a GxP-regulated environment requi
 res more than just efficient algorithms\; it demands strict adherence to s
 oftware validation\, reproducibility\, and data integrity standards such a
 s FDA 21 CFR Part 11 and GAMP 5.\n\nThis talk outlines a strategic framewo
 rk for making Julia code "pharma-ready." We explore the use of Julia’s n
 ative packages to maintain Reproducibility\, the implementation of testing
  suites for the generation of validation reports and we will also explore 
 how to use literate programming in Julia to generate documentation and rep
 orts . By leveraging Julia’s unique features\, we show how developers ca
 n create high-performance workflows that satisfy both computational demand
 s and regulatory scrutiny.
DTSTAMP:20260502T094005Z
LOCATION:Room 5
SUMMARY:Making your Julia code compliant for usage in pharmaceutical indust
 ry - Harsha Byadarahalli Mahesh
URL:https://pretalx.com/juliacon-2026/talk/LCUBGM/
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