2026-04-10 2026-04-10 , online online, 690 € zzgl. MwSt. Timo Ahland https://forum-institut.de/seminar/26112470-ai-in-pharma-r-d/referenten/26/26_11/26112470-online-seminar-ai-in-pharma-rd_ahland-timo.jpg AI in Pharma R&D

AI in Pharma R&D: During the half-day seminar you will learn how to navigate compliance requirements due to regulatory frameworks, you will explore how structured content enables AI-supported document creation, and how to combine established scientific methods with AI to accelerate drug development in basic and preclinical research.

Topics
  • Overview about AI policy and regulatory frameworks
  • Structured content as basis for AI-based document compilation
  • Project insights: Combining established and innovative methods to elucidate mechanism-of-action pathways for intervention development


Who should attend
In case you're considering AI implementation, our new program provides essential insights for informed decision-making in preclinical research. This course is designed for pharmaceutical R&D professionals, including project managers, scientific researchers and regulatory affairs specialists who want to stay current with AI developments in basic and preclinical (drug) development.
Aims and objectives
This seminar offers a timely opportunity to deepen your understanding of artificial intelligence (AI) as it reshapes preclinical drug development.

You, as professional in Pharma R&D, will gain practical knowledge of the latest regulatory frameworks, including the EU AI Act and the joint EMA/FDA principles published in January 2026, equipping you to navigate compliance requirements with confidence.
Furthermore, you will explore how structured content enables AI-supported document creation in regulated environments.
Through real-world project insights, you will learn how to strategically combine established scientific methods with AI and explainable AI (xAI) to uncover mechanisms of action and accelerate drug discovery.

Whether you are evaluating AI adoption or looking to optimise your current approach, this course provides the critical knowledge needed to stay competitive and compliant in a rapidly evolving field.
Your benefit

Upon participation, you will

  • learn about evolving compliance requirements and regulatory frameworks for AI-assisted pharmaceutical development.
  • understand the importance of "data preparation" and the use of structured content.
  • gain up-to-date knowledge on the latest AI applications and hybrid approaches in preclinical research.
  • understand when AI solutions are optimal versus when traditional or combined methods deliver better results.

Online seminar - AI in Pharma R&D

AI in Pharma R&D

Navigating efficiency, compliance and innovation in basic and preclinical (drug) development

Benefits
  • Update regulatory frameworks: EU AI Act, EMA/FDA principles
  • AI-supported document creation (example: GLP Study Plans + Final Report)
  • Project insights
  • Officially certified: ISO 9001 + 21001

Webcode 26112470

Jetzt buchen

JETZT Buchen

Referenten


Alles auf einen Blick

Termin

17/11/2026

17/11/2026

Zeitraum

From 09:00 am until 12:30 pm CET
You may dial in 30 minutes before the lecture starts

From 09:00 am until 12:30 pm CET
You may dial in 30 minutes before the lecture starts
Veranstaltungsort

online

online

Gebühr
Your contact

Dr. Birgit Wessels
Conference Manager

+49 6221 500-652
b.wessels@forum-institut.de

Details

AI in Pharma R&D: During the half-day seminar you will learn how to navigate compliance requirements due to regulatory frameworks, you will explore how structured content enables AI-supported document creation, and how to combine established scientific methods with AI to accelerate drug development in basic and preclinical research.

Topics

  • Overview about AI policy and regulatory frameworks
  • Structured content as basis for AI-based document compilation
  • Project insights: Combining established and innovative methods to elucidate mechanism-of-action pathways for intervention development


Who should attend
In case you're considering AI implementation, our new program provides essential insights for informed decision-making in preclinical research. This course is designed for pharmaceutical R&D professionals, including project managers, scientific researchers and regulatory affairs specialists who want to stay current with AI developments in basic and preclinical (drug) development.

Aims and objectives

This seminar offers a timely opportunity to deepen your understanding of artificial intelligence (AI) as it reshapes preclinical drug development.

You, as professional in Pharma R&D, will gain practical knowledge of the latest regulatory frameworks, including the EU AI Act and the joint EMA/FDA principles published in January 2026, equipping you to navigate compliance requirements with confidence.
Furthermore, you will explore how structured content enables AI-supported document creation in regulated environments.
Through real-world project insights, you will learn how to strategically combine established scientific methods with AI and explainable AI (xAI) to uncover mechanisms of action and accelerate drug discovery.

Whether you are evaluating AI adoption or looking to optimise your current approach, this course provides the critical knowledge needed to stay competitive and compliant in a rapidly evolving field.

Your benefit

Upon participation, you will

  • learn about evolving compliance requirements and regulatory frameworks for AI-assisted pharmaceutical development.
  • understand the importance of "data preparation" and the use of structured content.
  • gain up-to-date knowledge on the latest AI applications and hybrid approaches in preclinical research.
  • understand when AI solutions are optimal versus when traditional or combined methods deliver better results.

Detailed programme

From 09:00 am until 12:30 pm CET
You may dial in 30 minutes before the lecture starts

Welcome, introduction, expectations


Timo Ahland

Overview about AI policy and regulatory frameworks
  • Development and deployment of AI-based tools in public health
  • Insight into the EU AI Act's risk-based approach and its intersection with existing regulations
  • EMA/FDA principles for AI in medicine development (published January 14, 2026)
  • Practical strategies for navigating compliance while advancing innovation
  • Authority's expectations? (The topic will be addressed if significant details become available to the public by the time of the seminar.)

Christian Mehrmann

Structured content as basis for AI-based document compilation
  • Why structure comes before AI OR Why document quality starts with structure
  • AI as support in (regulatory) document creation
  • Consistency, traceability and compliance by design
  • Opportunities, limits and practical considerations

Biobreak


Dr Irina Tihaa

Project insights: Combining established and innovative methods to elucidate mechanism-of-action pathways for intervention development
  • Data first: How rigorous data preparation lays the foundation for meaningful analysis
  • Choosing the right tools: Combining established methods, AI and xAI to understand pathways and mechanisms of protective drugs
  • From insight to impact: Using interpretable data/results to reveal true modes of action and guide drug discovery

Outstanding questions and final discussion

End of seminar

Further information

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The pre-meeting gives you the opportunity to explore our Learning Space and to familiarise yourself with the technology to start off your online training on the right foot. This is a non-binding offer for all our customers and not a prerequisite for participation. If a pre-meeting date does not suit you but you would still like a technology check, please contact us.

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Learn more about our online events here.

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