5 Benefits Of Leveraging Machine Learning In Your Process Development Workflows

By Robert Hughes, R&D Fellow, and Joshua Clark, Senior R&D Engineer

Amid the ever-present pressure to accelerate drug development timelines, establish scalable processes, and file INDs, drug sponsors and CDMOs are turning to innovative technologies that help develop and optimize safe, scalable synthetic routes as quickly as possible. To this end, AI and machine learning (ML) are being activated across drug development workflows and introducing a number of benefits, including accelerating experimentation and improving analytical method development.

Despite these efficiencies, the industry is still navigating the anxiety that these technologies will replace jobs across the drug manufacturing sector. In practice, though, ML models require the design, validation, and interpretation of experienced chemists and engineers. To successfully activate these technologies and ensure they are backed by rigorous expertise, consider working with a CDMO that is already leveraging AI and ML workflows. Download the full white paper to explore the exciting benefits of these technologies across the process development space.