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PRODID:https://github.com/derhansen/sf_event_mgt
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BEGIN:VEVENT
UID:15-16@hms-data.de
CLASS: PUBLIC
SUMMARY:PHUSE EU Connect 2026
DESCRIPTION:PHUSE EU Connect 2026 will take place in Glasgow for the first 
 time from November 15 to 18. The international conference provides a platfo
 rm for professionals from life sciences, clinical research, and data scienc
 e to discuss current developments, share practical experience, and explore 
 new approaches to data-driven processes in the pharmaceutical industry.\n\n
 The program includes talks, interactive sessions, and numerous opportunitie
 s to exchange ideas and connect with fellow professionals. Topics such as A
 I and agentic AI, open-source technologies, automation, and modern data pro
 cesses will play a central role.\n\nHMS will once again be there in 2026, s
 haring insights and experience from real-world projects and applications in
  the pharmaceutical industry.\n\nVisit the official PHUSE EU Connect websit
 e \n\nOur contribution to PHUSE\n\n\n\nTalk\n\nWhat Is an AI Agent, and How
  Can It Be Built and Tailored for Pharma Use Cases?\n\nPratik Khanna\n\nAI 
 agents are the building blocks of agentic AI. They extend the capabilities 
 of AI models by enabling them to reason, solve tasks autonomously, interact
  with their environment, and use a variety of tools and data sources.\n\nIn
  this beginner-friendly session, Pratik Khanna uses an Exploratory Data Ana
 lysis (EDA) agent to demonstrate how more advanced agentic systems can be d
 esigned and tailored to specific use cases. The live demo combines data acc
 ess, cleaning, exploration, and visualization with report generation, code 
 generation, and machine learning in a single interactive workflow. The exam
 ple illustrates how the underlying agentic design pattern can be adapted to
  a wide range of pharmaceutical workflows.\n\n\n\nTalk\n\nHepCHAT: Accelera
 ting DILI Drug Safety Assessment with Knowledge Graph-Powered AI Agents\n\n
 Pascal Sanchez (HMS Analytical Software), Cecília Nunes (Merck)\n\nAI agent
 s are the building blocks of agentic AI. They extend the capabilities of AI
  models by enabling them to reason, solve tasks autonomously, interact with
  their environment, and use a variety of tools and data sources.\n\nIn this
  beginner-friendly session, Pratik Khanna uses an Exploratory Data Analysis
  (EDA) agent to demonstrate how more advanced agentic systems can be design
 ed and tailored to specific use cases. The live demo combines data access, 
 cleaning, exploration, and visualization with report generation, code gener
 ation, and machine learning in a single interactive workflow. The example i
 llustrates how the underlying agentic design pattern can be adapted to a wi
 de range of pharmaceutical workflows.\n\n \n\nTalk\n\nEstablishing a Qualif
 ied R Package for PK/PD Analysis After SAS Migration\n\nCorinna Stöckinger 
 (Boehringer Ingelheim), Milena Kraus (HMS Analytical Software)\n\nFollowing
  a GenAI-assisted migration of legacy SAS code, the project has evolved int
 o pkadsbuildr, a fully R-native package for PK/PD analysis. It provides sta
 ndardized templates for data transformation pipelines as well as more than 
 40 domain-specific functions covering areas such as imputation, baseline de
 rivation, date-time handling, and consistency checks.\n\nBeyond its busines
 s logic, a complete software development lifecycle has been established, in
 cluding version control, unit testing, structured documentation, and specif
 ications as the basis for internal R package qualification. Supporting AI t
 ools also help statistical programmers adapt the package templates to study
 -specific requirements.\n\nThe talk provides insights into the package, its
  qualification process, and how statistical programmers are supported in th
 eir day-to-day work.
LOCATION:SEC – Scottish Event Campus
DTSTAMP:20261005T123841Z
DTSTART:20261115T080000Z
DTEND:20261118T160000Z
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