Supporting the Development of Scalable Manufacturing Processes for Complex Synthetics through Automation and Machine Learning

As complex synthetic molecules such as peptides and oligonucleotides gain momentum for their precision and therapeutic potential, R&D teams face unique challenges in effectively scaling development and manufacturing processes. The use of machine learning and artificial intelligence can help accelerate scale-up with data-driven decision-making and optimization tools.

Join Adrian Amador, Director of Chemistry at Snapdragon Chemistry, a Cambrex company, for a live webinar in which he will discuss real examples of how automation and advanced optimization methodologies can be integrated into chemical process development workflows to support scalability, reproducibility and efficiency.

Cases to be Discussed:

• Use of a Bayesian optimizer for multi-objective optimization of a solid-phase oligonucleotide synthesis process
• Development of a full automated liquid phase peptide synthesis platform to accelerate the development of scalable peptide manufacturing processes

Titles of who should attend the webinar:

• CMC (Chemistry, Manufacturing and Controls)
• Process Development
• R&D

The live presentation will take place at the following time:

15.00   BST (UK, Lisbon)
16.00   CEST (Paris, Madrid, Frankfurt etc)
10.00   EDT (New York, Boston)
7.00     PDT (San Francisco, LA)

If you are unable to attend on the day, do not worry, all registrants will be sent links to the recorded session and slides presented afterwards. Registrants who attend the ‘live’ session will receive an e-Certificate of Attendance.