White Paper
From Evolution to Revolution: How AI is Transforming Clinical Development
Explore how AI is advancing clinical development—from drug discovery and trial execution to patient recruitment, oversight, and the next generation of decentralized and agentic trials.
About this white paper
What's inside
Artificial intelligence is redefining clinical trials—from accelerating drug discovery to strengthening patient recruitment, trial monitoring, data accuracy, and regulatory readiness. This whitepaper examines the evolution of AI in clinical development, the value it can unlock across the trial lifecycle, and the practical governance, privacy, regulatory, and ethical considerations organizations must navigate to adopt it responsibly.
Key takeaways
What you'll learn
- How AI has evolved from basic automation to predictive analytics and autonomous decision-making in clinical development.
- How AI accelerates drug discovery and trial execution by identifying candidates, automating analysis, and optimizing trial design.
- How AI-driven screening, predictive modeling, and real-world data can improve patient recruitment and retention.
- How organizations can address data privacy, algorithmic bias, regulatory roadblocks, and AI governance.
- How decentralized trials and Agentic AI are shaping the next generation of clinical research.
About the author
Moulik Shah
Founder & CEO, Maxis AI
Moulik Shah is the Founder and CEO of Maxis AI, an enterprise agentic AI platform for the pharmaceutical and life sciences industry. With over 20 years of experience in healthcare technology, he has spent the majority of his career helping pharma, biotech, and CRO organizations modernize clinical trials through data and AI. He is a Forbes Technology Council contributor, writing on artificial intelligence and enterprise innovation.
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