SCRS Talks

How Agentic AI Is Transforming Clinical Research Site Operations

18 min · 28. heinä 2026
jakson How Agentic AI Is Transforming Clinical Research Site Operations kansikuva

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Jimmy Bechtel sits down with Brooklyn Montgomery, Business Development Director at Deep Intelligent Pharma (DIP), to explore how agentic AI is reshaping the way clinical research sites operate. Brooklyn breaks down where AI delivers real value for physician-led research, what meaningful adoption actually looks like at the site level, and the three questions every site should answer before spending a dollar on AI tools. The conversation also covers how mentorship and technology work together to close the gap between academic research and clinical execution, and where sites are headed as they move from execution partners to upstream contributors in trial design. Disclaimer: The content of this article reflects interview perspectives and is intended for general informational purposes only. It does not constitute any commitment, representation, or guarantee regarding the performance or outcomes of any product or service. Actual results may vary depending on factors including, but not limited to, study design, data quality, regulatory requirements, and implementation conditions.

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jakson How Agentic AI Is Transforming Clinical Research Site Operations kansikuva

How Agentic AI Is Transforming Clinical Research Site Operations

Jimmy Bechtel sits down with Brooklyn Montgomery, Business Development Director at Deep Intelligent Pharma (DIP), to explore how agentic AI is reshaping the way clinical research sites operate. Brooklyn breaks down where AI delivers real value for physician-led research, what meaningful adoption actually looks like at the site level, and the three questions every site should answer before spending a dollar on AI tools. The conversation also covers how mentorship and technology work together to close the gap between academic research and clinical execution, and where sites are headed as they move from execution partners to upstream contributors in trial design. Disclaimer: The content of this article reflects interview perspectives and is intended for general informational purposes only. It does not constitute any commitment, representation, or guarantee regarding the performance or outcomes of any product or service. Actual results may vary depending on factors including, but not limited to, study design, data quality, regulatory requirements, and implementation conditions.

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13. heinä 202618 min
jakson The Missing Voice in AI Drug Development kansikuva

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