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Researchers, students, medical writers, librarians, and R&D teams can use Iris.ai to find and review relevant scientific papers and patents across large document collections. Search by describing a research question or starting from a paper, then explore visual maps of related documents and topics to spot connections beyond exact keyword matches. Iris.ai helps refine reading lists with topic, metadata, and context-based filters. It can summarize abstracts or full-text documents and extract selected information from text and tables into structured spreadsheets. Use it for literature reviews, prior-art searches, document analysis, and research data collection; it is designed to help organize and examine large bodies of scientific material, rather than replace expert review of the findings.
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