Agentic AI poised to reshape clinical development by moving beyond tools to autonomous decision-making
Earlier this year, a colleague argued that clinical leaders should stop asking whether they have an 'AI strategy', because the question often leads to the wrong conversation.
Instead, leaders are urged to evaluate how AI can predict important outcomes, optimize processes, and automate tasks that improve clinical development performance.
The term 'agentic AI' refers to systems that do more than generate answers; they can assess information, decide next steps, interact with tools, and adapt to changing conditions to achieve a defined goal.
New products, announcements and demonstrations of agentic AI are appearing almost weekly, signaling a shift from experimentation to implementation in the biotech sector.
This writeup was produced by pharmadog from original reporting by Fierce Biotech.
Original headline: “Understanding Agentic AI in Clinical Development”
read at Fierce Biotech ↗
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