The pharmaceutical industry faces significant challenges in bringing new drugs to market due to the complexities of the R&D process. These challenges include high costs, lengthy development timelines, and a low success rate. In response to these challenges, a new approach to R&D has emerged: R&D 4.0.

R&D 4.0 leverages advanced technologies such as Deep Learning, Machine Learning, Artificial Intelligence, 3D Printing; among others, to streamline the drug development process and reduce time-to-market. In this webinar, join Procaps Group to explore the role of these technologies to improve the pharmaceutical development process. We will showcase real- world case studies performed, including the utilization of three-dimensional printing technology in the development of complex and customized drug delivery systems. Additionally, we will discuss how Deep Learning algorithms can estimate moisture levels in gelatin mass at different stages of the manufacturing process using spectral data. This approach provides real-time data to optimize the production process and ensure consistent quality. Furthermore, we will explain how Machine Learning algorithms, specifically the Pearson correlation coefficient, are being used to analyse the interaction of different excipients in drug formulations. This analysis helps in optimizing drug formulations to improve stability and efficacy. Explore with Procaps Group the exciting potential of R&D 4.0 as a leading Softgel CDMO/CMO.

Discussion topics

• To gain an understanding of R&D 4.0 in the pharmaceutical industry, including its key principles and how it can help reduce time- to-market

• To learn about the benefits and challenges of utilizing advanced technologies such as 3D printing, Deep Learning, and Machine Learning in pharmaceutical development

• To explore real-world examples from Procaps on how these technologies have been used in pharmaceutical R&D, including in the development of complex drug delivery systems and the optimization of drug formulations specifically in Softgel advanced technologies

• Get a deeper insight on who Procaps Group is and how as a leading Softgel CDMO/CMO is incorporating these trends and technologies to achieve better time-to- market for its partners around the world.

Speaker: Joe Villa, R&D Manager, Procaps

Join our focussed session, where our expert will dive into PAT and how these innovations are ushering in a new era of manufacturing

• Why having the latest PAT systems can help improve quality and cost of current manufacturing practices
• What are the challenges when applying a risk-based approach to a PAT based control strategy

• Understanding how AI can increase continuous processing through deep learning

Speaker: Sean Daughtry, Director of Technical Operations, Vertex Pharmaceuticals

Digital transformation is a key area of development in pharma, but potential can be limited by regulatory roadblocks, a talent gap and integration complexities. Join our experts to gain insights into overcoming challenges and implementing the latest technologies:

• Becoming tech-led, not led by technology

• Managing change effectively

• Talent acquisition and onboarding

• Scaling organization-wide to avoid silos

Speaker: Guglielmo Iozzia, Associate Director - Data Science, ML/AI, Computer Vision, Merck

Smart manufacturing unites physical and digital processes across the supply chain, helping to optimise current supply and demand requirements. This session will discuss how to implement the latest technologies for a smarter supply chain.

• Improved quality control and production scheduling

• Better inventory planning

• Faster problem resolution

• Reduced overall costs

Speaker: Andrew Kewson, Head of Global Supply Chain Management, Basilea Pharmaceutica

Join our panel of experts to explore the tangible opportunities AI brings to pharma manufacturing:

• Improving Batch Manufacturing Processes

• Efficient Quality Assurance and Regulatory Compliance

• Defining the role of chatbots and the potential for improving training and compliance standards in manufacturing set-up

• Reviewing how AI can improve patient engagement 

Moderator:
Mayur Patel, Associate Partner, PA Consulting

Panellists:
Andrew Kewson, Head of Global Supply Chain Management, Basilea Pharmaceutica

Guglielmo Iozzia, Associate Director - Data Science, ML/AI, Computer Vision, Merck

Sean Daughtry, Director of Technical Operations, Vertex Pharmaceuticals

Aurelio Arias, Director, IQVIA