|
|
|
|
See how the recently described cell line development paradigm shift, enabled by the Leap-In transposon platform, can extend to the development of bispecific monoclonal antibody-producing cell substrates.
|
|
|
|
|
Discover how transposon technology is being reimagined as a precise genetic engineering tool to create high-performing CHO cell lines for biotherapeutic production with enhanced metabolic and glycan profiles.
|
|
|
|
|
Explore a unique protein platform that relies on Design of Experiment (DoE) to calculate the set of nodes that are maximally information-rich in the relevant space, gene synthesis to make those exact sequence nodes, high quality measurements to quantify function, and machine learning to find the optimal solution.
|
|
|
|
|
A platform has been developed using ML-guided GPS Engineering to optimize the development of antibody-based drugs. Examine how utilizing the platform impacts all stages of an antibody's life cycle, from discovery to manufacturing.
|
|
|
|
|
Explore ATUM's history with Machine Learning (ML) in Bio, as well as how they go about variable selection, searching the SQL space to find promoters, and finding antibodies.
|
|
|
