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Project cooperationUpdated on 24 December 2025

Advanced NLP for Clinical Insights

yDataLabs Founder at yDataLabs

Maastricht, Netherlands

About

Specialized Natural Language Processing (NLP) techniques are applied to unstructured clinical documentation—such as physician notes, discharge summaries, pathology reports, and correspondence—to unlock critical medical insights that are otherwise difficult to access. These solutions enable secure de-identification of patient information to ensure privacy and regulatory compliance, while accurately extracting complex medical entities including diagnoses, procedures, medications, symptoms, and clinical relationships. By transforming free-text data into structured, actionable intelligence, this approach enhances clinical analytics, supports research and population health initiatives, and improves operational efficiency across healthcare systems.

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    Aytuğ Altundağ

    Professor of Otolaryngology, Head and Neck Surgery, at Pharmalysis AI

    Istanbul, Türkiye

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    Shakila Mostaan

    Scientific grant writer at Health-NLP - University of Tübingen

    Tübingen, Germany

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    Veysel Kocaman

    yDataLabs Founder at yDataLabs

    Maastricht, Netherlands