Originally Aired: December 12, 2022
Time: 8:00 am PT, 11:00 am ET, 17:00 CET
Thanks to cell and gene therapies, diseases considered untreatable a few years ago, now have treatment options that not only manage clinical symptoms but can be curative. The R&D process of such novel therapies, however, involves novel complexities, which require software solutions that are tailored to constantly evolving, cutting-edge approaches. R&D scientists and their IT partners must work together to establish a digital foundation that models their science accurately, provides complete traceability throughout the R&D process, and makes data easily accessible for actionable insights.
In this session of Learning Labs, we talk to David Kugler,Ph.D., Vice President and Head of Immunology at Cartography Biosciences, and Zachary Reinert, PhD, Scientific Solution Consultant at Benchling, about how you can set up your cell and gene therapy R&D for success with data and software strategies aligned with the complexity of these exciting new areas of science. David will share his industry perspective as a tenured scientist in the field of immune-based therapies. Zach will share representative software solution models and case studies for cell and gene therapy R&D. They’ll both discuss the value of using a centralized software solution to help teams establish traceability throughout the R&D process, work in close collaboration, and generate meaningful insights faster. You’ll see a demonstration of solution capabilities specific to cell and gene therapy, including the modeling of different approaches for CAR-T, TCR, and CRISPR, designing plasmids, cell engineering workflows and experiments with structured data capture, and organizing data for quick search and analysis. All examples will be demonstrated on the Benchling R&D Cloud, a cloud-native platform for biotechnology R&D. In use by over 1000 leading biotech innovators, the R&D Cloud provides a modern experience for R&D scientists with capabilities for biological entity design and registration, experimental data capture, process development and orchestration, inventory, automation, and analysis.
A live Q&A session followed the presentation, offering a chance to pose questions to our expert speakers.
Produced with support from: