New System Aims to Boost Cell Therapy Production
PHCbi has launched its LiCellGrow™ Cell Expansion System. The new platform is designed to make the manufacturing of cell and gene therapies more efficient and scalable. This type of product development is critical for the biotech industry as it works to lower the cost and increase the availability of these advanced treatments.
The high cost of cell and gene therapies, often ranging from hundreds of thousands to over $3 million per patient, is a major barrier to access. These costs stem from complex, often manual, and resource-intensive manufacturing processes which are difficult to scale. Systems like LiCellGrow™ aim to tackle this by automating and standardizing cell production, reducing the need for extensive manual labor and minimizing the risk of costly batch failures. At its core, the LiCellGrow™ system provides a closed, sterile environment using single-use bags, which significantly reduces contamination risk. It automates the feeding process by using an in-line sensor to continuously monitor glucose and lactate levels—key indicators of cell health and metabolism. This real-time data allows the system to automatically replenish nutrients, creating a more stable and optimal growth environment than manual methods allow. The technology behind this automated monitoring was built on over 30 years of development in blood glucose sensor technology. By visualizing the metabolic state of the cells, researchers and manufacturers can ensure a more consistent and reproducible final product, which is a critical challenge in the field. PHCbi plans to expand the system's capabilities through 2028, adding features to support the entire workflow from research to commercial manufacturing of therapies like CAR-T. Developing a platform like this involves a "tech track" career in life sciences, blending biology with computation and engineering. A role like a Bioinformatics Scientist, for example, involves using programming languages like Python or R to analyze biological data, develop analysis pipelines, and create predictive models. Their day is spent coding, collaborating with wet-lab scientists, and reviewing data, often requiring a master's degree or Ph.D. in a field like computational biology. This contrasts sharply with a patient-facing role like a Clinical Research Coordinator (CRC), who is on the front lines of testing these new therapies. A CRC's day is centered around the patient—obtaining informed consent, administering treatments, collecting samples, and meticulously documenting every detail for regulatory compliance. This career is less about coding and more about communication, organization, and direct patient interaction, often requiring a bachelor's or master's degree and strong interpersonal skills. Similarly, a Genetic Counselor is a patient-facing role requiring a master's degree and certification. They interpret genetic test results for patients, explain risks for hereditary diseases, and provide support to families making complex medical decisions. Unlike a computational biologist who analyzes massive datasets to find patterns, a genetic counselor applies that genetic information at a personal level, focusing on communication and counseling skills.
