Biologics Stability Summit 2025

 

Biologics Stability Summit

 

The inaugural Biologics Stability Summit will take place in Basel, Switzerland on October 17, 2025 and is hosted by Yokogawa Fluence Analytics. This free, dynamic, daylong event will be filled with insightful panels, Q&A, and a hands-on, collaborative ARGEN demo. Register today to connect with current and prospective ARGEN users, engage with biopharma subject matter experts, and help create the future of biologics stability testing.

Click here to register

 

What to expect

  • Talks from experts with the University of Manchester, Novartis, and Tulane University – PolyRMC
  • Open discussion periods for guests to ask questions and seek solutions to problems 
  • An ARGEN setup, demonstration, and data collection in action
  • Catered breakfast and lunch

Secure your spot today

 

Meet the Speakers

Speaker Group 1

Dr. Thorben Hoeltkemeier & Dr. Cedric Thauvin (Novartis) will present on the integration of high-throughput, kinetic aggregation data from ARGEN into formulation development.

 

Speaker Group 2

Dr. Robin Curtis of the University of Manchester will discuss using ARGEN to explore how multivalent phosphate Ions influence protein aggregation. Dr. Curt Jarand will push the boundaries of ARGEN by examining shear and mechanical stress, automatic continuous mixing, and cuvette based dialysis.

 

Speaker Group 3

Prof. Wayne Reed (inventor of ARGEN technology) of Yokogawa Fluence Analytics will examine the monitoring, characterization, and stability of biologics using ARGEN and cognate methods.

 

About ARGEN

ARGEN is a benchtop lab instrument that enables a smart and rapid approach to therapeutic biopolymer development. The static light scattering platform addresses key challenges in biopharmaceutical R&D.

  • Simulate stress conditions, like temperature changes and stirring, to immediately see how a formulation will respond.
  • Monitor biopolymer stability in situ and in real-time.
  • Test and compare multiple formulations in parallel, reducing the number of iterations required to reach optimal stability conditions.
  • Predict aggregation and degradation propensities early, catching problems before they arise.
  • Evaluate shelf-life stability at low temperatures with long-term stability testing.

Register now