Applying machine learning to real-world data: an interview with Douglas Drake

Written by Douglas Drake (Clinerion)
Artificial intelligence and machine learning Interviews Medical devices, pharmaceuticals and vaccines Rare diseases and orphan drugs Real-world evidence Stakeholder engagement

In this interview, Douglas Drake (Clinerion, Basel, Switzerland) shares his expert insight on how machine learning (ML) may be applied to real-world data (RWD) in order to help achieve better outreach for diagnostic testing and correct therapeutic treatment. Douglas Drake is, originally, a life science researcher, with a passion for digital enablement of better patient care. With over 30 years of experience working in various aspects of diagnostics, therapeutic research and drug discovery, Douglas has broad experience in transformative technologies, data sciences, global business development and applying these to improve patient engagement and the patient journey. Please can you introduce...

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