
Related articles


Rewriting the Future of Clinical Trials: AI, Agility, and the Portfolio-First Mandate
In a rapidly changing research landscape, leaders at Takeda, Novartis, Sanofi, Daiichi Sankyo, and Medable share firsthand insights into how artificial intelligence is reshaping clinical trial operations.
This exclusive whitepaper explores how forward-thinking organizations are reimagining trial design, execution, and scaling to meet the demands of speed, precision, and patient-centricity across their entire portfolio.


From bottlenecks to breakthroughs: How AI is transforming translation timelines
According to ClinicalTrials.gov, there are 3,046 multi-country trials being conducted this year. While many trials remain localized within a single country, there has been a definitive movement towards conducting trials in multiple countries, especially for larger, later-stage trials. This is driven by the positives that multi-country trials offer, like faster patient recruitment, lower costs in some regions, and the need for diverse patient populations.. However, behind the scenes, a critical bottleneck has been slowing many trials down. This bottleneck is the translation process that’s required to make trials work across multiple languages, locales, and regulatory bodies/organizations.


Back to basics: Agentic AI and how it’s impacting clinical trial research
Since the release of OpenAI’s ChatGPT in 2022, the buzz around artificial intelligence has been impossible to ignore. From advertisements during the SuperBowl to webinars and working groups, the impact of artificial intelligence has been felt in almost every sector of our world.
But, what if we told you the most transformative shift is still on the horizon?
When ChatGPT first released it changed the way the world, including clinical research, worked. Now NVIDIA, one of the most premier companies leading the way in the development of AI, has stated that they expect the development of Agentic AI, a new type of artificial intelligence to “change the way we work in ways that parallel how different work became with the arrival of the internet.”
This means agentic AI may have a much bigger impact than even generative AI did years back.
So, if you’re curious about agentic AI, read on as we delve into its nature, differentiate it from generative AI, and reveal its transformative role in clinical research."