For the first time, the technology behind Wall Street and Formula One racing is being used in pharmaceuticals—and it’s offering unparalleled potential for innovation in clinical trial execution and healthcare delivery.

In this episode, host Jeff Stewart is joined by Darren Coleman, the general manager of RxDataScience, a Syneos Health company, who discusses KX technology, the world’s fastest time series database and analytics engine, and how it is now being applied to improve clinical trial efficiency, reduce costs and speed time to market for life-changing therapies for patients. From current applications to optimize site selection, predict enrollment rates, and identify trial risks months in advance, to future use cases including patient selection and predicting drug efficacy, Coleman outlines exciting possibilities for the future of clinical trials and healthcare.

For more from Syneos Health on AI applications in biopharma, check out these insights:

WEBINAR | How AI is Supercharging Clinical Trials

Syneos Health Podcast | 2024 Health Trends: Managing the Healthcare Revolution

It’s Time We Got the Most Out of Medical Affairs Data

Artificial Intelligence, Machine Learning and a New Epoch for Clinical Trials 

The views expressed in this podcast belong solely to the speakers and do not represent those of their organization.

If you want access to more future-focused, actionable insights to help biopharmaceutical companies better execute and succeed in a constantly evolving environment, visit the Syneos Health Insights Hub. The perspectives you’ll find there are driven by dynamic research and crafted by subject matter experts focused on real answers to help guide decision-making and investment. You can find it all at insightshub.health.

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