High-Throughput Antibody Workflows for AI-Enabled Process Optimization
About this webinar
Biopharmaceutical teams are increasingly looking to AI to improve process development and optimization. However, the biggest constraint is often not the model; it’s the data. If experiments are run at low throughput, captured inconsistently or spread across different systems and organizations, there simply isn’t enough usable information for AI to work with.
In this webinar, the featured speakers will explore how high-throughput laboratory workflows and better data integration can create the foundation for AI-enabled process optimization. The discussion draws on a high-throughput antibody production laboratory and an end-to-end workflow spanning expression, purification, analytics and data capture.
The panelists will discuss the practical impact of automation in antibody purification, including the integration of an automated protein purification system into an existing workflow. Since introducing the system, the laboratory has reduced hands-on purification time and labor by approximately 80% and increased throughput from one run per day to three. Beyond simply making the laboratory faster, more consistent execution produces more consistent data, the kind of data that process models need.
The webinar will also examine what happens when process data moves across sites, systems and organizations. Pharma sponsors and manufacturing partners often generate pieces of the same process data in different environments, making it difficult to build a complete picture of the process. The speakers will discuss how connecting that information can help teams use AI on a broader and more representative set of process data without requiring every organization to replace its existing systems.
Attendees will gain practical insights into evaluating purification automation, integrating automated systems into existing laboratory workflows and thinking about the data infrastructure needed to support AI-enabled process development and optimization.
Register for this webinar to learn how antibody production workflows can support higher-throughput purification, more consistent data and AI-enabled process optimization.
Who should attend
This webinar will appeal to professionals involved in protein and antibody solutions, particularly automated protein and antibody purification, including:
- Bioprocess Development and Process Optimization teams
- Antibody Discovery and Protein Scientists
- Laboratory Directors
- Data and Digital Leaders in Biomanufacturing
- R&D Executives
- Professionals working in AI-Enabled Process Development and Optimization
- Professionals involved in High-Throughput Antibody Production, Laboratory Automation, Antibody Purification and Process Data Integration
What you will learn
Attendees will gain insight into:
- Where AI-enabled process development breaks down in practice: throughput, data consistency and the boundary between organizations
- How high-throughput, automated execution produces the consistent data that process models require
- How an automated protein purification instrument can fit into and streamline an existing antibody production workflow
- How to make process data comparable across pharma sponsors and manufacturing partners without moving the data or changing ownership
- What to put in place so process optimization models have data worth running on
Featured Speakers
Justin Byers
Justin Byers is the Founder and CEO of Axio BioPharma, where he focuses on improving how biologics are developed and manufactured. He has more than 30 years of experience in biopharmaceutical process development, manufacturing and commercial services and has worked across more than 200 drug programs.
At Axio, Justin oversees Axio Forge, a high-throughput antibody production laboratory in Madison, Wisconsin, and Axio Lattice, a software that helps teams connect process information across the systems, sites and organizations involved in biologics development and manufacturing.
His work combines hands-on laboratory operations, automation and data integration to help make biologics development faster and more consistent while creating the foundation needed for AI-enabled process optimization.
Rudy Zhao, PhD
Dr. Rudy Zhao is a Senior Global Product Manager at GenScript, where he leads the AmMag™ Quatro automated purification instrument portfolio. He has more than 15 years of experience in product management and development across the life sciences and molecular diagnostics industries, with expertise spanning laboratory automation, molecular diagnostics, genomics and proteomics. Throughout his career, he has focused on translating customer needs into innovative products and automated workflow solutions for life science research and biopharmaceutical applications.
Partner for this event
GenScript
GenScript is the leading contract research organization in the world providing gene, peptide, protein, CRISPR, and antibody. Since its foundation in 2002, GenScript has grown exponentially through partnerships with scientists conducting fundamental life science research, translational biomedical research, and early stage pharmaceutical development. The company is recognized as having built a best-in-class capacity and capability for biological research services, encompassing gene synthesis, peptide synthesis, custom antibody and protein engineering, and in vitro and in vivo pharmacology – all with the goal to make people and nature healthier through biotechnology by scripting possibilities.