The year 2026 is anticipated to be pivotal for the life sciences, driven by the implementation of Agentic AI, which aims to streamline clinical research processes and enhance operational efficiency. Experts emphasize AI's potential to alleviate administrative burdens, improve study start-up times, and enable on-demand analytics for better decision-making. Political and economic changes are prompting a shift towards more resilient trial models, blending domestic engagement with global research strategies. Regulatory frameworks are also evolving to better integrate AI, fostering transparency and efficiency in drug development.
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