A concise introduction to key AI technologies, including definitions of Artificial Intelligence (AI), Machine Learning (ML), Generative AI, Large Language Models (LLMs), and other relevant technologies mentioned in the course. Includes an overview of the most promising AI use cases across the pharmaceutical value chain — covering R&D, Operations, Commercial, Medical Affairs, and Corporate Functions — with a focus on AI applications in R&D: in Drug Discovery, Preclinical Research, Clinical Development, and Regulatory Affairs.
This session provides participants with a clear perspective on how AI is transforming the pharmaceutical industry, while offering a solid foundation for the in-depth applications explored later in the course.
Speakers
- Marina Borozna, Head of AI Strategy, IPSEN
- Prof. Mike Barnes, Queen Marys University – Broad overview based on the review written with MSD
- Varun Shivashankar, Associate Director, Machine Learning, Parabilis Medicines – Screening better: How we use AI/ML approaches to screen smarter across therapeutic modalities
For details of our full Pharma and Life Science AI/ML Training Program and how to register, please click here.