Barcelona Breakfast Briefing: how is Pharma 4.0 shaping manufacturing?
Date: 25 October 2023
Website: bit.ly/3LoAX7v
European Pharmaceutical Review will host an exclusive, free-to-attend, breakfast briefing during CPhI in Barcelona this October.
The highly anticipated breakfast briefing is open to all CPhI attendees and European Pharmaceutical Review members and is free to attend. Make sure you book your place early to avoid disappointment as we have limited availability. Places will be allocated on a first come first served basis.
Panel discussion: How is Pharma 4.0 transforming drug development and manufacturing?
As technology continues to reshape industries, pharmaceutical manufacturers and regulators are looking to the potential of pharma 4.0 to improve efficiency, quality and innovation across the sector. From accelerating drug development, to process optimisation and enhanced quality control, artificial intelligence, machine learning, data analytics and automation are poised to transform the way medicines are produced. As with other evolving fields of science and technology, implementation comes with a unique set of challenges that must be carefully considered on the path to transformation. Many companies have only scratched the surface and begun this transition.
During this breakfast briefing panellists will discuss:
- State of digital transformation in pharma industry: where are we today?
- Benefits of pharma 4.0: from improved efficiency, to reduced timelines and sustainability, how can AI, ML, IoT and automation streamline operations?
- Implementation strategies: key challenges faced when embracing digital transformation (cultural, regulatory, organisational, technological) and how they can be overcome
- Use cases: examples of digital innovation across the pharmaceutical value chain from raw material sourcing to drug development, clinical trials and continuous manufacturing/packaging
- Emerging trends: the future trajectory for AI, ML, robotics, blockchain in medicines manufacturing.
Related topics
Artificial Intelligence, Data Analysis, Drug Development, QA/QC
