05.21.26 -- Regeneron Advances In Vivo Gene Therapy For Hearing Loss

Scaling up life-saving gene-edited cell therapies means tackling production inefficiencies. Overcoming the time-consuming and risky cell washing step is crucial for clinical and commercial success.

Manufacturing operations are getting a boost thanks to single-use technologies, but how do biopharmaceutical manufacturers choose the right materials for constructing their single-use solutions?

Maximize viral vector output with this specialized transfection platform that can increase full capsid percentages and titers by up to tenfold during the scale-up process.

Examine the construction of modular GMP environments designed specifically for RNA-LNP production. This approach provides a flexible, scalable framework for modern therapeutic process trains.

Cell‑free synthetic DNA provides a scalable, safer alternative to plasmids by eliminating bacterial risks, simplifying quality control, and enabling complex sequences under GMP‑aligned conditions.

Media selection is key to CAR-T cell success. Learn how a serum-free, xeno-free medium boosts transduction efficiency, maintains quality, and streamlines the path to clinical scale-up.

Discover how Raman spectroscopy and parallel bioprocessing enable real-time cell culture monitoring, saving time and providing crucial data for process optimization in biopharmaceutical production.

Uncover strategies to reduce cell bank development from years to months. See how GMP-compliant partnerships eliminate redundant documentation and accelerate your path to first-in-human trials.

Explore how to simplify your downstream viral vector manufacturing with integrated, end-to-end strategies that reduce delays and accelerate your path to the clinic.

Accurate sterility analysis relies on cohesive data. Utilize built-in algorithms to support regulatory compliance while delivering the actionable results needed for therapeutic workflows.

Traditional biomanufacturing relies too heavily on trial and error. By integrating AI and mechanistic models into early design, developers can overcome productivity limits and accelerate timelines.

Continuous in-line monitoring of glucose and lactate levels provides highly accurate, real-time data on cellular metabolism without the risks or data gaps associated with manual periodic sampling.