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DQBM Publications
Michael Krauthammer
Michael Krauthammer
Publications in Zurich Open Repository and Archive (ZORA)
ZORA Publication List
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Publications
Balázs, Zsolt; Gitchev, Todor; Ivanković, Ivna; Krauthammer, Michael (2024).
Fragmentstein—facilitating data reuse for cell-free DNA fragment analysis.
Bioinformatics, 40(1):btae017.
Shaitarova, Anastassia; Zaghir, Jamil; Lavelli, Alberto; Krauthammer, Michael; Rinaldi, Fabio (2023).
Exploring the Latest Highlights in Medical Natural Language Processing across Multiple Languages: A Survey.
Yearbook of medical informatics, 32(01):230-243.
Mathis, Nicolas; Allam, Ahmed; Kissling, Lucas; Marquart, Kim Fabiano; Schmidheini, Lukas; Solari, Cristina; Balázs, Zsolt; Krauthammer, Michael; Schwank, Gerald (2023).
Predicting prime editing efficiency and product purity by deep learning.
Nature Biotechnology, 41(8):1151-1159.
Garaiman, Alexandru; Nooralahzadeh, Farhad; Mihai, Carina; Gonzalez, Nicolas Perez; Gkikopoulos, Nikitas; Becker, Mike Oliver; Distler, Oliver; Krauthammer, Michael; Maurer, Britta (2023).
Vision transformer assisting rheumatologists in screening for capillaroscopy changes in systemic sclerosis: an artificial intelligence model.
Rheumatology, 62(7):2492-2500.
Trottet, Cécile Claire; Allam, Ahmed; Horvath, Aron N; Micheroli, Raphael; Krauthammer, Michael; Ospelt, Caroline (2023).
Explainable Deep Learning for Disease Activity Prediction in Chronic Inflammatory Joint Diseases.
In: ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH), Honolulu, Hawaii, 28 July 2023, 1-8.
Eichhoff, Ossia M; Stoffel, Corinne I; Käsler, Jan; Briker, Luzia; Turko, Patrick; Karsai, Gergely; Zila, Nina; Paulitschke, Verena; Cheng, Phil F; Leitner, Alexander; Bileck, Andrea; Zamboni, Nicola; Irmisch, Anja; Balazs, Zsolt; Tastanova, Aizhan; Pascoal, Susana; Johansen, Pål; Wegmann, Rebekka; Mena, Julien; Othman, Alaa; Viswanathan, Vasanthi S; Wenzina, Judith; Aloia, Andrea; Saltari, Annalisa; Dzung, Andreas; Krauthammer, Michael; Schreiber, Stuart L; Hornemann, Thorsten; Distel, Martin; Snijder, Berend; Dummer, Reinhard; Levesque, Mitchell Paul (2023).
ROS Induction Targets Persister Cancer Cells with Low Metabolic Activity in NRAS-Mutated Melanoma.
Cancer Research, 83(7):1128-1146.
Rohanian, Morteza; Nooralahzadeh, Farhad; Rohanian, Omid; Clifton, David; Krauthammer, Michael (2023).
Disfluent Cues for Enhanced Speech Understanding in Large Language Models.
In: Empirical Methods in Natural Language Processing (EMNLP), Singapore, 2023, 3676-3684.
Biller-Andorno, Nikola; Christen, Markus; Krauthammer, Michael; Witt, Claudia (2023).
Position paper: Artificial Intelligence in Medicine – Objectives and Recommendations for the Responsible Use of Digital Twins.
Zürich: UZH – Digital Society Initiative (DSI).
Restivo, Gaetana; Tastanova, Aizhan; Balázs, Zsolt; Panebianco, Federica; Diepenbruck, Maren; Ercan, Caner; Preca, Bodgan-T; Hafner, Jürg; Weber, Walter P; Kurzeder, Christian; Vetter, Marcus; Soysal, Simone Münst; Beisel, Christian; Bentires-Alj, Mohamed; Piscuoglio, Salvatore; Krauthammer, Michael; Levesque, Mitchell P (2022).
Live slow-frozen human tumor tissues viable for 2D, 3D, ex vivo cultures and single-cell RNAseq.
Communications Biology, 5:1144.
Eichhoff, Ossia M; Stoffel, Corinne Isabelle; Käsler, Jan; Briker, Luzia; Turko, Patrick; Karsai, Gergely; Zila, Nina; Paulitschke, Verena; Cheng, Phil F; Leitner, Alexander; Bileck, Andrea; Zamboni, Nicola; Irmisch, Anja; Balázs, Zsolt; Tastanova, Aizhan; Pascoal, Susana; Johansen, Pål; Wegmann, Rebekka; Mena, Julien; Othman, Alaa; Viswanathan, Vasanthi S; Wenzina, Judith; Aloia, Andrea; Saltari, Annalisa; Dzung, Andreas; Krauthammer, Michael; Schreiber, Stuart L; Hornemann, Thorsten; Distel, Martin; Snijder, Berend; Dummer, R; Levesque, Mitchell (2022).
ROS induction as a strategy to target persister cancer cells with low metabolic activity in NRAS mutated melanoma.
bioRxiv 512839, Cold Spring Harbor Laboratory.
Schwarz, Kyriakos; Trejo Banos, Daniel; Rathmes, Giulia; Krauthammer, Michael (2022).
Drug prescription clusters in the UK Biobank: An assessment of drug-drug interactions and patient outcomes in a large patient cohort.
ArXiv.org 2207.08665, Cornell University.
Ivankovic, Ivana; Balázs, Zsolt; Gitchev, Todor; Trejo Banos, Daniel; Moldovan, Norbert; Panagiotis, Balermpas; Willmann, Jonas; Andratschke, N; Moulière, Florent; Krauthammer, Michael (2022).
A versatile computational pipeline for the preprocessing of cell-free DNA fragmentation data.
Cancer Research 82, University of Zurich.
Ivankovic, Ivna; Balázs, Zsolt; Gitchev, Todor; Banos, Daniel Trejo; Moldovan, Norbert; Balermpas, Panagiotis; Willmann, Jonas; Andratschke, Nicolaus; Moulière, Florent; Krauthammer, Michael (2022).
Abstract 1912: A versatile computational pipeline for the preprocessing of cell-free DNA fragmentation data.
Cancer Research, 82(12_Supplem):1912.
Yuan, Han; Liu, Minxuan; Kang, Lican; Chenkui, Miao; Wu, Ying; et al; Krauthammer, Michael (2022).
An empirical study of the effect of background data size on the stability of SHapley Additive exPlanations (SHAP) for deep learning models.
ArXiv.org 2204.11351, Cornell University.
Bieri, Uwe; Scharl, Michael; Sigg, Silvan; Szczerba, Barbara Maria; Morsy, Yasser; Rüschoff, Jan Hendrik; Schraml, Peter Hans; Krauthammer, Michael; Hefermehl, Lukas John; Eberli, Daniel; Poyet, Cédric (2022).
Prospective observational study of the role of the microbiome in BCG responsiveness prediction (SILENT-EMPIRE): a study protocol.
BMJ Open, 12(4):e061421.
Biller-Andorno, Nikola; Ferrario, Andrea; Joebges, Susanne; Krones, Tanja; Massini, Federico; Barth, Phyllis; Arampatzis, Georgios; Krauthammer, Michael (2022).
AI support for ethical decision-making around resuscitation: proceed with care.
Journal of Medical Ethics, 48(3):175-183.
Iqbal, Jeffrey David; Krauthammer, Michael; Biller-Andorno, Nikola (2022).
The Use and Ethics of Digital Twins in Medicine.
Journal of Law, Medicine & Ethics, 50(3):583-596.
Bonvin, Raphaël; Buhmann, Joachim; Cotrini Jimenez, Carlos; Egger, Marcel; Geissler, Alexander; Krauthammer, Michael; Schirlo, Christian; Spiess, Christiane; Steurer, J; Vokinger, Kerstin N; Vogt, Julia.
Neue Lernziele für das Medizinstudium erarbeitet.
In: Neue Lernziele für das Medizinstudium erarbeitet, 2022, 98-101.
Schwarz, Kyriakos; Pliego-Mendieta, Alicia; Planas-Plaz, Lara; Pauli, Chantal; Allam, Ahmed; Krauthammer, Michael (2022).
DDoS: A Graph Neural Network based Drug Synergy Prediction Algorithm.
ArXiv.org 2210.00802, Cornell University.
Fujimoto, Koji; Nishio, Mizuho; Sugiyama, Osamu; Ichikawa, Kana; Cornelius, Joseph; Lithgow-Serrano, Oscar; Kanjirangat, Vani; Rinaldi, Fabio; Horvath, Aron N; Nooralahzadeh, Farhad; Krauthammer, Michael (2022).
Approach for Named Entity Recognition and Case Identification Implemented by ZuKyo-JA Sub-team at the NTCIR-16 Real-MedNLP Task.
In: NTCIR 16 Conference: Proceedings of the 16th NTCIR Conference on Evaluation of Information Access Technologies, Tokyo, Japan, 14 Juni 2022 - 17 Juni 2022, 322-329.
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