Speakers

Nils Strohmenger

Nils Strohmenger

Merck Life Science

Dr Marcel Franke

Dr Marcel Franke

Merck Life Science

Emily Butterworth

Emily Butterworth

AstraZeneca UK

Dr Torsten Stemmler

Dr Torsten Stemmler

Bundesinstitut für Arzneimittel und Medizinprodukte (invited)

Prof Dr Pascal Friederich

Prof Dr Pascal Friederich

Karlsruhe Institute of Technology

Dr Irina Tihaa

Dr Irina Tihaa

d-fine

Highlights
- How to use Machine Learning (ML) for Molecular Discovery
- Innovative Methods to decode Pathways
- Risk-Based Validation of Computer-Aided and AI-Based Systems


Target Group

This education course is designed for employees in the pharmaceutical industry who want to use AI/ML applications in research and development processes.

Objectives

Artificial Intelligence (AI)-driven systems have emerged as an effective approach to enhance candidate selection and optimize drug-target interactions. Using machine learning (ML) and generative AI can speed up target identification, molecule design, and clinical trial optimization. Thus, AI-driven drug discovery is revolutionizing pharmaceutical development processes by cutting timelines and reducing costs.
 
Despite the promise, challenges remain, e.g., regarding data quality, model interpretability, and the need for high-quality, standardized datasets to ensure the accuracy of AI models.
 
Therefore, some of the frequently asked questions are:
  • From Data to Drugs: How important are data—data quality, data availability, and models?
  • What are the possibilities and limitations?
  • How can these Systems be validated?
  • What is the current status of development?
This Education Course will discuss the current challenges and opportunities. In addition, case studies will show possible areas of AI application in pharmaceutical industry.


Programme

Machine Learning for Molecular Discovery and Optimization (Early-Stage)
 
  • Machine learning for molecular property prediction
  • Generative models for inverse molecular design
  • AI-driven optimization and self-driving labs
AI/ML in API Formulation Development
Predictive Formulation: The Role of AI in Formulation Development
  • Digital Transformation: Paving the Way for Data-Driven Development & Production
  • The Importance of High-Quality Data for Informed Decisions & Robust Models
  • Co-Crystal Development: Selecting Suitable Co-Formers
AI supported Pharmacopoeia Compliance
 
  • Introduction about Regulatory and Pharmacopoeia compliance
  • Problem statement: Why to use AI to support the Pharmacopoeia compliance
  • Implementation of the solution
  • Metrics: before/after
Q&A Session 1
 
Risk-Based Validation of Computer-Aided and AI-Based Systems
 
 
Project insights: Combining established and innovative methods to decode pathways
  • 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 (incl. brief introduction into the methods)
  • From insight to impact: Using interpretable results to reveal true modes of action and guide drug discovery
Global AI solutions for Pharmaceutical Microbiology
  • Automated trending reports as an alternative to manual Excel spreadsheet trending
  • Generative AI prompt development for large data set trending and assessment
  • Concept of predictive/continuous monitoring AI tool to support Aseptic manufacturing
Q&A Session 2


Further Information

Technical Requirements
 
Our live online training courses and webinars are conducted using Webex. At www.gmp-compliance.org/training/online-training-technical-information you will find all necessary information for participation, including a system check to verify whether your IT environment meets the technical requirements. If the installation of browser extensions is restricted due to internal IT policies, please contact your IT department. Webex is widely used, and installation is straightforward.
 
Fees (per delegate, plus VAT)
ECA Members 1.290 EUR
APIC Members 1.340 EUR
Non-ECA Members 1.390 EUR
EU GMP Inspectorates 695 EUR
The conference fee is payable in advance upon receipt of invoice.
 
Presentations/Certificate
The presentations will be made available to you prior to the Live Online Training as PDF files. After the event, you will automatically receive your certificate of participation.
 
Conference language
The official conference language will be English.
 
You cannot attend the Live Event?
Many of the training courses and conferences are also available as recordings. You may watch these any time “on demand” on our web server. It is uncomplicated and doesn’t require any software – you simply watch the videos in your browser. All available recorded events can be found at www.gmp-compliance.org/recordings.
 
Contacts
Questions regarding content:
Dr Andrea Kühn-Hebecker, +49 6221 84 44-35, kuehn@concept-heidelberg.de 
Questions regarding organisation:
Mr Ronny Strohwald, +49 6221 84 44-51, strohwald@concept-heidelberg.de 


Date & Time

Thu, 29 Oct 2026, 09:00-17:15 
Times mentioned are CET.

Costs

ECA-Member*: € 1290,-
Regular Fee*: € 1390,-
EU/GMP Inspectorates*: € 695,-
APIC Member Discount*: € 1340,-

(All prices excl. VAT). Important notes on sales tax.

* also payable by credit card
American Express Visa Mastercard

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Recording/ Additional dates on-site
not available
Recording/ Additional dates on-site
not available
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This course is part of the GMP Certification Programme "ECA Certified Pharmaceutical Development Manager"

Do you have any questions?

Please contact us:
Tel.: +49 6221 8444-0
E-Mail: info@gmp-compliance.org

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