Regulatory & Scientific Best Practices for AI & Digital Tool

Regulatory & Scientific Best Practices for AI & Digital Tool
AI and digital predictive tools are advancing rapidly, and so are regulatory expectations. The real challenge is applying AI in ways that are explainable, responsible, and aligned with regulatory requirements.  This webinar provides practical, real-world insight into AI and digital tools, using pharmaceutical manufacturing examples.

Brought to you by the TOPRA AI & Digital Technology Steering Group




Date
: Thursday 26 February 2026
Time: 10:00 - 11:00  GMT

What you'll learn

AI and digital predictive tools are rapidly transforming pharmaceutical development, but success depends on using them in ways that are scientifically robust, explainable, and regulator-ready. This webinar will help you move beyond awareness to practical application, showing how AI and predictive digital tools can be developed, governed, and justified within regulated environments. Through real-world examples from pharmaceutical manufacturing, you’ll gain clarity on what good practice looks like and how to align innovation with regulatory expectations.

By attending, you'll gain:

  • A clear understanding of the AI and digital predictive tool landscape in CMC
  • Practical insight into scientific and regulatory best practices, including data management and model development 
  • Guidance on applying the MHRA’s Five Principles of AI in real-world settings
  • Awareness of collaborative research and pre-competitive initiatives shaping digital CMC adoption, including work from the Digital CMC Centre of Excellence in Regulatory Science and Innovation (CERSI)

Who should attend

This webinar is ideal for Industry R&D and manufacturing professionals, regulatory affairs specialists, regulators, industry leaders, and academia.


Webinar host & presenters


Host: Dr Sarah Chan
AI & Digital Steering Group Lead

Dr. Sarah Chan is a global leader in regulatory strategy innovation, digital transformation, and the responsible use of AI in life sciences. She currently co-leads TOPRA’s AI & Digital Steering Group, working with industry, regulators, and technology partners to shape practical, ethical, and compliant use of AI in regulatory affairs.

Previously, she was a Director at MSD, where she led multiple global AI and digital initiatives that accelerated regulatory processes and enabled smarter, data-driven decision-making. She holds a PhD from the University of Nottingham, a Biochemistry degree from the University of Manchester and an MBA from Imperial College London.


Presenter: Ian Houson
Programme Manager, Digital CMC CERSI

Ian is Programme Manager for the Digital CMC Centre of Excellence in Regulatory Science and Innovation (CERSI) at CMAC, University of Strathclyde. He leads initiatives to accelerate the adoption of digital tools in regulatory submissions and inspections, pioneering the use of Quality by Digital Design (QbDD) through physics-based and AI-driven modelling.

Ian previously held technical, managerial, and consultancy roles in agrochemicals and pharmaceuticals, spanning SMEs, CDMOs, and large pharma. He is editor of Process Understanding for Scale-up and Manufacture, with numerous patents and publications, and holds a DPhil in Organic Chemistry from the University of Oxford.

  Presenter: Dr Chantal Mustoe
Digital CMC CERSI Research Fellow and Training Developer

Chantal is Research Fellow and Training Developer for the Digital CMC CERSI at CMAC, University of Strathclyde, supporting the integration of digital tools in regulatory contexts. With over a decade of research experience spanning chemistry, machine learning, and automation, she has worked across academia, industry, and government.

Chantal designs and delivers training for regulators, industry, and developers on credibility assessment of digital predictive models. Her work has been recognised with multiple awards for innovative teaching and knowledge exchange in complex interdisciplinary environments.

Pricing

 Standard webinar registration fees
 Webinar Registration Type Price (GBP)
 Standard Price 
 TOPRA Member
FREE
 Standard Price
 Non-member
£60.00






 

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When
26/02/2026 10:00 - 11:00
Where
ONLINE
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