Trustworthy and novel AI in clinical trial planning

Run time

18 minutes, 12 seconds
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This pharmaphorum podcast explores how AI is transforming drug development and commercialization, with Norstella Chief Product Officer Kris Kaneta discussing the growing role of clinical AI powered by robust patient-level data. Kaneta explains how AI can move beyond administrative efficiency to deliver real strategic recommendations for clinical trials, commercialization and decision-making across the product lifecycle. The conversation also highlights why high-quality, connected patient-level data is becoming pharma’s most valuable competitive asset in the AI era, while addressing the key challenges limiting broader AI adoption and effectiveness in clinical research today.

Frequently asked questions

How is AI transforming drug development and commercialization?
AI is helping life sciences companies accelerate clinical research, optimize trial strategy and improve commercialization decision-making through faster, data-driven insights.
Why is patient-level data important for pharmaceutical AI?
Patient-level data provides the detailed clinical and behavioral insights AI systems need to generate meaningful strategic recommendations and improve predictive accuracy.
What role does AI play in clinical trials?
AI can support trial optimization through patient identification, protocol refinement, predictive analytics and operational decision-making across the development lifecycle.
What challenges are limiting broader AI adoption in pharma?
Key challenges include fragmented healthcare data, interoperability issues, data quality concerns and limited access to connected longitudinal patient information.
kris-kaneta-headshot
Kris Kaneta
Chief Product Officer, Norstella
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Nicole Raleigh
Web Editor, Pharmaphorum
kris-kaneta-headshot
Kris Kaneta
Chief Product Officer, Norstella
nicole-raleigh-headshot
Nicole Raleigh
Web Editor, Pharmaphorum

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