Search Results - Karsten Borgwardt

Karsten Borgwardt

| birth_place = Kaiserslautern, Rhineland-Palatinate, Germany | nationality = German | fields = Computer science, Machine learning, Computational biology, Systems biology, Bioinformatics | workplaces = Max Planck Institute of Biochemistry (2023-), Ludwig Maximilian University of Munich (2023-), ETH Zurich (2014-2023), University of Tübingen (2011-2014), Max Planck Institutes Tübingen (2008-2014), University of Cambridge (2007-2008) | alma_mater = LMU Munich
University of Oxford | website = }}

Karsten Borgwardt (born 1980) is a German computer scientist and biologist specializing in machine learning and computational biology. Since February 2023, he has been a director at the Max Planck Institute of Biochemistry in Martinsried, Germany, where he leads the Department of Machine Learning and Systems Biology. Provided by Wikipedia
  • Showing 1 - 5 results of 5
Refine Results
  1. 1

    Data-driven protease engineering by DNA-recording and epistasis-aware machine learning by Lukas Huber, Tim Kucera, Simon Höllerer, Karsten Borgwardt, Sven Panke, Markus Jeschek

    Published in Nature Communications (2025-07-01)
    Get full text
    Article


  2. 2

    Enhancing the diagnosis of functionally relevant coronary artery disease with machine learning by Christian Bock, Joan Elias Walter, Bastian Rieck, Ivo Strebel, Klara Rumora, Ibrahim Schaefer, Michael J. Zellweger, Karsten Borgwardt, Christian Müller

    Published in Nature Communications (2024-06-01)
    Get full text
    Article


  3. 3

    Accelerating Detection of Lung Pathologies with Explainable Ultrasound Image Analysis by Jannis Born, Nina Wiedemann, Manuel Cossio, Charlotte Buhre, Gabriel Brändle, Konstantin Leidermann, Julie Goulet, Avinash Aujayeb, Michael Moor, Bastian Rieck, Karsten Borgwardt

    Published in Applied Sciences (2021-01-01)
    Get full text
    Article


  4. 4

    Erratum: Born et al. Accelerating Detection of Lung Pathologies with Explainable Ultrasound Image Analysis. <i>Appl. Sci.</i> <b>2021</b>, <i>11</i>, 672 by Jannis Born, Nina Wiedemann, Manuel Cossio, Charlotte Buhre, Gabriel Brändle, Konstantin Leidermann, Julie Goulet, Avinash Aujayeb, Michael Moor, Bastian Rieck, Karsten Borgwardt

    Published in Applied Sciences (2022-04-01)
    Get full text
    Article


  5. 5

    Predicting sequence-specific amplification efficiency in multi-template PCR with deep learning by Andreas L. Gimpel, Bowen Fan, Dexiong Chen, Laetitia O. D. Wölfle, Max Horn, Laetitia Meng-Papaxanthos, Philipp L. Antkowiak, Wendelin J. Stark, Beat Christen, Karsten Borgwardt, Robert N. Grass

    Published in Nature Communications (2025-10-01)
    Get full text
    Article


Search Tools: