Revolutionizing Cellular Therapies: How Automation is Transforming the Industry

In this podcast, we spoke with Ryan Bernhardt, CEO of Biosero and Jesse Mulcahy, Director and Head of Automation at Cellino about the importance of utilizing automation in cell therapy research and production and the potential of these technologies to transform the healthcare landscape and improve patient access.

The Challenge of Accessibility in Cellular Therapy

The traditional methods of creating induced pluripotent stem cells (iPSCs) are notoriously laborious and expensive, often costing hundreds of thousands, if not millions, of dollars per patient. This high cost poses a substantial barrier to accessibility for many patients in need of personalized cell therapy treatments. Cellino is leveraging advanced automation, AI, and linear technology to dramatically redefine and improve on traditional production processes.

Advancing Automation in Cell Therapy

Cellino’s approach employs its innovative technology, known as NEBULA. This system utilizes self-contained units, referred to as cassettes, to cultivate personalized cell therapies directly in hospitals.

NEBULA uses AI to monitor cell growth while incorporating laser technology to selectively eliminate unhealthy cells. This level of automation has the potential to reduce the manufacturing costs of personalized stem cell therapies by at least tenfold, making treatments more accessible to a broader range of patients.

Supporting automation for Cellino is Biosero’s Green Button Go software suite, which plays a crucial role in automating the workflows of life science organizations. Ryan explained how their technology empowers life science organizations to automate essential scientific processes, facilitating the scheduling of workflows and direct communication with lab instruments. With the capability to run processes continuously—day or night—labs can maintain and cultivate cells without the constraints of a conventional workweek. This 24/7 operational capacity allows for the rigorous demands of cellular therapeutics to be met more efficiently.

Bridging Gaps with Integrated Automation

Ryan describes how lab automation can no longer be seen as merely robotic arms and conveyor belts; it integrates three key elements: physical, logical, and data. By orchestrating these components, automation streamlines and accelerates research across labs that were traditionally siloed and specialized in specific areas. This approach connects different labs, unifying knowledge, expertise, and data systems, enabling r