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The future we build could depend on research we don’t read

Policy is meant to be shaped by evidence. But what happens when the most relevant research never reaches decision-makers?

New research supported by Elsevier datasets suggests that roughly two-thirds of highly policy-relevant science may go uncited — not because it lacks quality, but because it remains invisible. As AI becomes part of how evidence is found and synthesized, trusted sources, transparency and broader visibility are becoming essential to better decisions.

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What if the next life-saving drug is buried in a patent diagram?

In drug discovery, the evidence researchers need often already exists — scattered across journals, patents, figures and chemical diagrams that conventional search may miss.

AI-supported workflows grounded in trusted scientific knowledge are helping researchers connect chemistry, bioactivity and patent evidence faster, with insights traceable back to their sources. From surfacing hidden chemistry in images to exploring millions of drug–disease connections at scale, better access to quality information can help teams move from search to decision with greater confidence.

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