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Project cooperationUpdated on 4 December 2025

AI in Health Expertise

Scientific grant writer at Health-NLP - University of Tübingen

Tübingen, Germany

About

The Health NLP Lab at the University of Tübingen works on a wide range of problems in text retrieval, understanding, and generation. Our goal is to develop AI-driven techniques to assist clinical decision-making, avoid medical errors, and ultimately improve patient health. Some key directions of interest include:

  • Trustworthy AI in Healthcare

  • Clinical Text Mining

  • Patient-centric Information Retrieval

  • Biomedical Text Understanding and Summarization

  • Diagnostic Assistance

  • Clinical Event Forecasting

  • Data-driven Prognostics

  • Precision Medicine

  • Human Computation

Type

  • Partner seeks Consortium/Coordinator

Organisation

Health-NLP - University of Tübingen

University

Tuebingen, Germany

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    Bruno Pires

    Managing Partner at Here Partners

    Lisbon, Portugal

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    Advanced NLP for Clinical Insights

    Veysel Kocaman

    yDataLabs Founder at yDataLabs

    Maastricht, Netherlands