Karsten M Borgwardt (Karsten Borgwardt)

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 25

Top Venues

Bioinformatics (Oxford, England)

Science (New York, N.Y.)

Nature communications

Nature medicine

ETH Zurich

Ludwig-Maximilians-Universitat Munchen (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

ETH Zurich

Switzerland

Full Professor of Data Mining :: Department of Biosystems Science and Engineering

ETH Zurich

Switzerland

Associate Professor of Data Mining :: Department of Biosystems Science and Engineering

Eberhard Karls Universität Tübingen

Germany

Associate Professor (W2) of Data Mining in the Life Sciences :: Department of Computer Science

Max Planck Institute for Biological Cybernetics

Germany

W2 Research Group Leader (Assistant Professor, tenured since 2010) :: Machine Learning and Comptational Biology Research Group

University of Cambridge

United Kingdom

Postdoctoral Research Associate :: Machine Learning Group, Chairholder: Prof. Zoubin Ghahramani

Education History

Ludwig-Maximilians-Universitat Munchen

Germany

PHD :: Data Mining & Database Unit, Chairholder: Prof. Hans-Peter Kriegel

Publications

Carlo Cervia-Hasler, Sarah Catharina Brüningk, Tobias Hoch, Bowen Fan, Giulia Muzio, Ryan C Thompson, Laura Ceglarek, Roman Meledin, Patrick Westermann, Marc Emmenegger, Patrick Taeschler, Yves Zurbuchen, Michele Pons, Dominik Menges, Tala Ballouz, Sara Hasler, Sarah Adamo, Miriam Merad, Alexander W Charney, Milo Puhan, Petter Brodin, Jakob Nilsson, Adriano Aguzzi, Miro E Raeber, Christoph B Messner, Noam D Beckmann, Karsten M Borgwardt, Onur Boyman
Persistent complement dysregulation with signs of thromboinflammation in active Long Covid. Science (New York, N.Y.) 383 (6680) (2024)
Xinrui Lyu, Bowen Fan, Matthias Hüser, Philip Hartout, Thomas Gumbsch, Martin Faltys, Tobias Michael Merz, Gunnar Rätsch, Karsten M Borgwardt
An empirical study on KDIGO-defined acute kidney injury prediction in the intensive care unit. Bioinformatics (Oxford, England) 40 (Supplement_1) (2024)
Xinrui Lyu, Bowen Fan, Matthias Hüser, Philip Hartout, Thomas Gumbsch, Martin Faltys, Tobias Michael Merz, Gunnar Rätsch, Karsten M Borgwardt
An empirical study on KDIGO-defined acute kidney injury prediction in the intensive care unit. Bioinformatics (Oxford, England) 40 (Supplement_1) (2024)
Carlo Cervia-Hasler, Sarah Catharina Brüningk, Tobias Hoch, Bowen Fan, Giulia Muzio, Ryan C Thompson, Laura Ceglarek, Roman Meledin, Patrick Westermann, Marc Emmenegger, Patrick Taeschler, Yves Zurbuchen, Michele Pons, Dominik Menges, Tala Ballouz, Sara Hasler, Sarah Adamo, Miriam Merad, Alexander W Charney, Milo Puhan, Petter Brodin, Jakob Nilsson, Adriano Aguzzi, Miro E Raeber, Christoph B Messner, Noam D Beckmann, Karsten M Borgwardt, Onur Boyman
Persistent complement dysregulation with signs of thromboinflammation in active Long Covid. Science (New York, N.Y.) 383 (6680) (2024)
Michael F Adamer, Sarah Catharina Brüningk, Dexiong Chen, Karsten M Borgwardt
Biomarker identification by interpretable maximum mean discrepancy. Bioinformatics (Oxford, England) 40 (Supplement_1) (2024)
Carlo Cervia-Hasler, Sarah Catharina Brüningk, Tobias Hoch, Bowen Fan, Giulia Muzio, Ryan C Thompson, Laura Ceglarek, Roman Meledin, Patrick Westermann, Marc Emmenegger, Patrick Taeschler, Yves Zurbuchen, Michele Pons, Dominik Menges, Tala Ballouz, Sara Hasler, Sarah Adamo, Miriam Merad, Alexander W Charney, Milo Puhan, Petter Brodin, Jakob Nilsson, Adriano Aguzzi, Miro E Raeber, Christoph B Messner, Noam D Beckmann, Karsten M Borgwardt, Onur Boyman
Persistent complement dysregulation with signs of thromboinflammation in active Long Covid. Science (New York, N.Y.) 383 (6680) (2024)
Christian Bock, Joan Elias Walter, Bastian Rieck, Ivo Strebel, Klara Rumora, Ibrahim Schaefer, Michael J Zellweger, Karsten M Borgwardt, Christian E Mueller
Enhancing the diagnosis of functionally relevant coronary artery disease with machine learning. Nature communications 15 (1) (2024)
Michael F Adamer, Sarah Catharina Brüningk, Dexiong Chen, Karsten M Borgwardt
Biomarker identification by interpretable maximum mean discrepancy. Bioinformatics (Oxford, England) 40 (Supplement_1) (2024)
Christian Bock, Joan Elias Walter, Bastian Rieck, Ivo Strebel, Klara Rumora, Ibrahim Schaefer, Michael J Zellweger, Karsten M Borgwardt, Christian E Mueller
Enhancing the diagnosis of functionally relevant coronary artery disease with machine learning. Nature communications 15 (1) (2024)
Christian Bock, Joan Elias Walter, Bastian Rieck, Ivo Strebel, Klara Rumora, Ibrahim Schaefer, Michael J Zellweger, Karsten M Borgwardt, Christian E Mueller
Enhancing the diagnosis of functionally relevant coronary artery disease with machine learning. Nature communications 15 (1) (2024)
Xinrui Lyu, Bowen Fan, Matthias Hüser, Philip Hartout, Thomas Gumbsch, Martin Faltys, Tobias Michael Merz, Gunnar Rätsch, Karsten M Borgwardt
An empirical study on KDIGO-defined acute kidney injury prediction in the intensive care unit. Bioinformatics (Oxford, England) 40 (Supplement_1) (2024)
Carlo Cervia-Hasler, Sarah Catharina Brüningk, Tobias Hoch, Bowen Fan, Giulia Muzio, Ryan C Thompson, Laura Ceglarek, Roman Meledin, Patrick Westermann, Marc Emmenegger, Patrick Taeschler, Yves Zurbuchen, Michele Pons, Dominik Menges, Tala Ballouz, Sara Hasler, Sarah Adamo, Miriam Merad, Alexander W Charney, Milo Puhan, Petter Brodin, Jakob Nilsson, Adriano Aguzzi, Miro E Raeber, Christoph B Messner, Noam D Beckmann, Karsten M Borgwardt, Onur Boyman
Persistent complement dysregulation with signs of thromboinflammation in active Long Covid. Science (New York, N.Y.) 383 (6680) (2024)
Michael F Adamer, Sarah Catharina Brüningk, Dexiong Chen, Karsten M Borgwardt
Biomarker identification by interpretable maximum mean discrepancy. Bioinformatics (Oxford, England) 40 (Supplement_1) (2024)
Carlo Cervia-Hasler, Sarah Catharina Brüningk, Tobias Hoch, Bowen Fan, Giulia Muzio, Ryan C Thompson, Laura Ceglarek, Roman Meledin, Patrick Westermann, Marc Emmenegger, Patrick Taeschler, Yves Zurbuchen, Michele Pons, Dominik Menges, Tala Ballouz, Sara Hasler, Sarah Adamo, Miriam Merad, Alexander W Charney, Milo Puhan, Petter Brodin, Jakob Nilsson, Adriano Aguzzi, Miro E Raeber, Christoph B Messner, Noam D Beckmann, Karsten M Borgwardt, Onur Boyman
Persistent complement dysregulation with signs of thromboinflammation in active Long Covid. Science (New York, N.Y.) 383 (6680) (2024)
Paolo Pellizzoni, Giulia Muzio, Karsten M Borgwardt
Higher-order genetic interaction discovery with network-based biological priors. Bioinformatics (Oxford, England) 39 (39 Suppl 1) (2023)
Michael F Adamer, Eljas Roellin, Lucie Bourguignon, Karsten M Borgwardt
SIMBSIG: similarity search and clustering for biobank-scale data. Bioinformatics (Oxford, England) 39 (1) (2023)
Michael F Adamer, Eljas Roellin, Lucie Bourguignon, Karsten M Borgwardt
SIMBSIG: similarity search and clustering for biobank-scale data. Bioinformatics (Oxford, England) 39 (1) (2023)
Michael F Adamer, Eljas Roellin, Lucie Bourguignon, Karsten M Borgwardt
SIMBSIG: similarity search and clustering for biobank-scale data. Bioinformatics (Oxford, England) 39 (1) (2023)
Michael F Adamer, Eljas Roellin, Lucie Bourguignon, Karsten M Borgwardt
SIMBSIG: similarity search and clustering for biobank-scale data. Bioinformatics (Oxford, England) 39 (1) (2023)
Michael F Adamer, Sarah Catharina Brüningk, Alejandro Tejada-Arranz, Fabienne Estermann, Marek Basler, Karsten M Borgwardt
reComBat: batch-effect removal in large-scale multi-source gene-expression data integration. Bioinformatics advances 2 (1) (2022)
Michael F Adamer, Sarah Catharina Brüningk, Alejandro Tejada-Arranz, Fabienne Estermann, Marek Basler, Karsten M Borgwardt
reComBat: batch-effect removal in large-scale multi-source gene-expression data integration. Bioinformatics advances 2 (1) (2022)
Caroline Weis, Aline Cuénod, Bastian Rieck, Olivier Dubuis, Susanne Graf, Claudia Lang, Michael Oberle, Maximilian Brackmann, Kirstine K Søgaard, Michael Osthoff, Karsten M Borgwardt, Adrian Egli
Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning. Nature medicine 28 (1) (2022)
Simon Höllerer, Laetitia Meng-Papaxanthos, Anja Cathrin Gumpinger, Katrin Fischer, Christian Beisel, Karsten M Borgwardt, Yaakov Benenson, Markus Jeschek
Large-scale DNA-based phenotypic recording and deep learning enable highly accurate sequence-function mapping. Nature communications 11 (1) (2020)
Stephanie L Hyland, Martin Faltys, Matthias Hüser, Xinrui Lyu, Thomas Gumbsch, Cristóbal Esteban, Christian Bock, Max Horn, Michael Moor, Bastian Rieck, Marc Zimmermann, Dean Bodenham, Karsten M Borgwardt, Gunnar Rätsch, Tobias Michael Merz
Early prediction of circulatory failure in the intensive care unit using machine learning. Nature medicine 26 (3) (2020)
Dominik G Grimm, Damian Roqueiro, Patrice A Salomé, Stefan Kleeberger, Bastian Greshake Tzovoras, Wangsheng Zhu, Christoph Lippert, Christoph Lippert, Oliver Stegle, Bernhard Schölkopf, Detlef Weigel, Karsten M Borgwardt
easyGWAS: A Cloud-Based Platform for Comparing the Results of Genome-Wide Association Studies. The Plant cell 29 (1) (2016)

Karsten M Borgwardt.css-eqlu8i{font-size:small;padding-left:4px;} (Karsten Borgwardt)

Publication Activity (10 Years)

Top Topics

Top Venues

Karsten M Borgwardt (Karsten Borgwardt)