Statistical Tools for Setting In-Process Acceptance Criteria

The Therapeutic Goods Administration (TGA) of Australia confirmed its initial decision to decline approval of the mAb for treating early Alzheimer’s disease.

In this episode, we explore BIOVECTRA’s capabilities in antibody-drug conjugate (ADC) manufacturing, from complex conjugation chemistry to synthesis of highly potent payloads. We’ll also showcase how BIOVECTRA’s extensive experience in complex chemistries and specialized small molecule manufacturing gives them a unique perspective, strengthening their approach to ADC production and ensuring clients receive custom solutions across all project stages.

This study evaluates the best-in-class elastomer compounds, formulations, and coatings, affixed with aluminum seals and press-on caps to Type I borosilicate tubular glass vials conforming to the International Organization for Standardization (ISO 8362) injection containers requirements.

Metabolic Flux Analysis (MFA) is a powerful technique used to characterize metabolic phenotype driving to improved productivity in biomanufacturing. MFA is most powerful when absolute concentrations of the metabolic intermediates are measured, but doing so in practice is often impractical due to inherent limitations of conventional absolute quantitation by mass spectral analysis. Recently, advances in artificial intelligence (AI) have been applied to solving the problem of broad, untargeted, absolute quantitation in liquid chromatography-mass spectrometry (LC-MS). These new approaches extend readily to the determination of absolute concentrations of stable isotopically-labeled metabolic intermediates, offering a new tool for MFA. Dr Sam Yenne from Metalytics Inc., a company that specializes in the science of metabolic flux, has recently assessed and adopted Pyxis, a new tool for absolute quantitation of raw LC-MS data. Dr Yenne describes MFA, its utility in biopharmaceutical development, associated challenges and how Pyxis impacts those challenges.

Exosomes, polymeric nanoparticles, and DNA nanostructures offer many potential advantages.

The benefits include reduced contamination risks, simplified validation processes, and streamlined operations.