Data-driven discovery made easy, scalable, and ready for the ML era

NGS and high-throughput screening and characterization tools have become mainstream in antibody discovery. These developments are rapidly generating increasing amounts of valuable data, that many research teams are still struggling trying to fully leverage. It’s essential to have solutions that enable scientists to manage and interpret these datasets in an easy, scalable, and integrated manner. In fact, these approaches are even more crucial now as researchers explore exciting new Machine Learning (ML) applications.

In this presentaion, we discuss the essential elements of modern data-driven discovery and how we incorporate them in the IGX Platform to enable your team to identify the most promising antibody leads. Furthermore, we will explore strategies to make ML-aided discovery accessible to your scientists by harnessing ENIPICOM’s expertise or your in-house ML capabilities.