Highlights from Clinical Trials at the 2026 AWS Life Sciences Symposium

This article highlights how AI is reshaping clinical trial operations across six global life sciences leaders, compressing timelines from months to days and enabling data-driven decisions throughout the drug development process.

• Novartis built an AI computational twin for trial planning that collapses weeks of planning into one day with fewer accountable roles
• Novo Nordisk uses query-in-place models to pressure-test protocols against real-world data in days instead of months
• Labcorp's Patient Journey Studio transforms static registries into dynamic intelligence for Alzheimer's disease research at population scale
• Merck's STRIDE solution predicts site performance using historical data and explainable rankings for better site selection
• Eli Lilly's Clinical Supply Control Tower predicts drug product demand and flags risks across eight value streams
• Bayer's Data Science Ecosystem embeds AI agents into workflows, reducing clinical biomarker analysis from months to two weeks

These interconnected systems represent a fundamental shift toward continuous intelligent workflows that accelerate patient access to therapies while improving trial design and operational efficiency.