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Intern
    Data Science Chair

    Machine Learning for Medical & Biological Data

    We working with data from the medical and biological domain. In a cooperation with the University Clinic Würzburg we aim to recommend diagnostics and in TissueNet we aim to learn representations and models for single cell analysis.

     

    Projects

    TissueNet

    Developing machine learning based approaches for single cell analysis 

    DZ.PTM

    Recommendations for clinical diagnostics.

    Publications

    • Optimizing Medical Servic...
      Optimizing Medical Service Request Processes through Language Modeling and Semantic Search. Schlör, Daniel; Pfister, Jan; Hotho, Andreas. In 2023 the 7th International Conference on Medical and Health Informatics (ICMHI), of ICMHI 2023, pp. 136–141. Association for Computing Machinery, Kyoto, Japan, 2023.
    • Towards Responsible Medic...
      Towards Responsible Medical Diagnostics Recommendation Systems. Schlör, Daniel; Hotho, Andreas. In CoRR, abs/2209.03760. 2022.