Learn from GSK experts to identify significant challenges and practical solutions for deploying and maintaining platform analytical procedures throughout different development and lifecycle stages.
Beyond GMP: Selecting and Managing CDMOs for Biological Products
7 October 2026 | Articulate why regulatory compliance is an entry criterion, not a differentiator, and identify the three failure modes that standard audits consistently miss for biological products.
Specification Setting for Biopharmaceuticals: Expert Panel Discussion on Best Practices
Expert Insight & Answers | Understand how specification setting for biopharmaceuticals requires multidisciplinary input, and learn how release and shelf life specifications are determined and differentiated based on product stability data and process capability.
Advanced ELISA-MS™ for Host Cell Protein (HCP) coverage and ELISA Antibody Characterisation
17 June 2026 | With experts from Alphalyse | Learn about the pros and cons of HCP ELISA coverage methods outlined in USP 1132 and 1132.1, and understand how ELISA-MS™ combines immunocapture with LC-MS to provide more accurate and specific antibody characterisation than traditional approaches.
Recent Advances in Process Analytical Technology (PAT) for Downstream and Upstream Processing
9 December 2026 | PAT implementation, effects on yield, consistency, and scalability, and the roles of modelling and chemometrics in facilitating advanced monitoring and control strategies
Separation of virus-like particles and nano-emulsions for vaccine development by Capillary Zone Electrophoresis
Meet the Expert: Dr. Adam Sutton | Learn practical strategies for developing and validating a single CZE method capable of simultaneously characterising nanoparticles, surfactants, and small molecules in multi-component pharmaceutical formulations.
Translating small-molecule development to complex generics and biosimilars
On-Demand Presentation by Dr. Joseph Glajch (JLG AP Consulting) | Explore the concept of fingerprint-like similarity in biosimilar development aand discover how orthogonal analytical methods applied across large reference product datasets can reduce residual uncertainty and influence the scope of clinical testing required.
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