Pharmaceutical industry and AI: where are we today?

Pharmaceutical product development is progressing towards a value-based approach. This approach requires innovative analytical methods to augment evidence generation: from clinical to real world. In this talk we explore a number of short examples of how AI has the potential to transform evidence generation and pharmaceutical research in general.

Jamie is a seasoned data scientist at PerkinElmer Informatics with over a decade of experience supporting clinical research and application of analytical technology. His presentations on how to make data science, big data, analytics and machine learning more approachable have been popular on the conference circuit. A dynamic and enthusiastic speaker, Jamie presents all topics within the context of a business use case making his presentations very applicable in the real world. Jamie holds a doctorate in Biostatistics from the University of North Carolina-Chapel Hill.