High concentration formulations unlock therapeutic potential, but viscosity often stands in the way. Can AI change that?
Dr. Pin-Kuang Lai joined us on BioTalk Unzipped to unpack how molecular engineering and machine learning are converging to tackle one of the toughest challenges in antibody development: predicting viscosity. His keynote at AAPS NBC 2025 sparked important conversations about model reliability, protein aggregation, and the next generation of formulation science.
We also discussed his collaborative research with pharma, opportunities for students in the field, and what the future holds as AI becomes integral to biologics development.
Watch the full conversation here → Unlocking Antibody Development with AI with Dr. Pin-Kuang Lai
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| Unlocking Antibody Development with AI with Dr. Pin-Kuang Lai |
| All the BioTalk Unzipped Episodes: https://www.youtube.com/@BioTalkUnzipped/videos In this episode of BioTalk Unzipped, hosts Gregory Austin and Dr. Chad Briscoe interview Asst. Professor Pin-Kuang Lai from Stevens Institute of Technology about his keynote speech at AAPS NBC 2025 and the intersection of AI and molecular engineering, particularly in predicting the viscosity of monoclonal antibodies. |
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Big thanks to American Association of Pharmaceutical Scientists (AAPS) | @aapscomms for their support and collaboration!
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Gregory Austin
Director, Business Development
Celerion
Lincoln NE
[email protected]Disclaimer: Opinions expressed are solely my own and do not express the views or opinions of my employer.
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