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:
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Trustworthy AI in Healthcare
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Clinical Text Mining
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Patient-centric Information Retrieval
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Biomedical Text Understanding and Summarization
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Diagnostic Assistance
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Clinical Event Forecasting
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Data-driven Prognostics
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Precision Medicine
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Human Computation
Type
- Partner seeks Consortium/Coordinator
Organisation
Similar opportunities
Project cooperation
AI-driven Digital Health Platform for Early Diagnosis and Remote Monitoring
Sandy Rihana
PROFESSOR AND Technology transfer office director at Holy Spirit University of Kaslik
Jounieh, Lebanon
Project cooperation
AI-enabled personalised care pathways for preventive and precision medicine
- Partner seeks Consortium/Coordinator
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-15: Scaling up innovation in cardiovascular health
- DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-11: Understanding of sex and/or gender-specific mechanisms of cardiovascular diseases: determinants, risk factors and pathways
Bruno Pires
Managing Partner at Here Partners
Lisbon, Portugal
Project cooperation
Advanced NLP for Clinical Insights
Veysel Kocaman
yDataLabs Founder at yDataLabs
Maastricht, Netherlands