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AI Life Sciences

2026 Prediction #1: No More Sandboxes: AI Enters the Core of Life Sciences

For the last several years, artificial intelligence in life sciences has largely lived in innovation labs and pilot programs—valuable but often disconnected from the workflows that actually drive regulatory approvals, market access, and clinical decision-making. In 2026, that changes. Our first prediction from MadeAi & CapeStart’s 2026 outlook, developed with insights from Angeline Dhas, Head…

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Real Reviews

AI in Action: Real Results from Real Reviews

As the demands for faster, more accurate, and scalable literature reviews rise in life sciences, AI is no longer just a future promise—it’s a proven performance driver. Systematic literature review (SLR) teams, especially in HEOR and medical affairs, are adopting GenAI platforms not just for experimentation but to solve long-standing bottlenecks in screening, extraction, and…

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