Michael Krauthammer

ZORA Publication List

Publications

• 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; Mollaysa, Amina; 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.
• Cornelius, Joseph; Lithgow-Serrano, Oscar; Kanjirangat, Vani; Rinaldi, Fabio; Fujimoto, Koji; Nishio, Mizuho; Sugiyama, Osamu; Ichikawa, Kana; Nooralahzadeh, Farhad; Horvath, Aron N; Krauthammer, Michael (2022). Leveraging Token-Based Concept Information and Data Augmentation in Few-Resource NER: ZuKyo-EN 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, NTCIR.
• Allam, Ahmed; Feuerriegel, Stefan; Rebhan, Michael; Krauthammer, Michael (2021). Analyzing Patient Trajectories With Artificial Intelligence. Journal of Medical Internet Research, 23(12):e29812.
• Rathmes, Giulia; Krauthammer, Michael (2021). Künstliche Intelligenz in der Medizin : Chancen und Risiken der KI. Hausarzt Praxis, 16(11):6-10.
• Thouvenin, Florent; Christen, Markus; Bernstein, Abraham; Braun Binder, Nadja; Burri, Thomas; Donnay, Karsten; Jäger, Lena A; Jaffé, Mariela; Krauthammer, Michael; Lohmann, Melinda; Mätzener, Anna; Mützel, Sophie; Obrecht, Liliane; Ritter, Nicole; Spielkamp, Matthias; Volz, Stephanie (2021). Positionspapier: Ein Rechtsrahmen für Künstliche Intelligenz. In: Workshop of the DSI (Digital Society Initiative) Strategy Lab, Balsthal, 26 August 2021 - 28 August 2021. Digital Society Initiative, 1-7.
• Montalban-Arques, Ana; Katkeviciute, Egle; Busenhart, Philipp; Bircher, Anna; Wirbel, Jakob; Zeller, Georg; Morsy, Yasser; Borsig, Lubor; Glaus Garzon, Jesus Francisco; Müller, Anne; Arnold, Isabelle C; Artola-Borán, Mariela; Krauthammer, Michael; Sintsova, Anna; Zamboni, Nicola; Leventhal, Gabriel E; Berchtold, Laura; de Wouters, Tomas; Rogler, Gerhard; Baebler, Katharina; Schwarzfischer, Marlene; Hering, Larissa; Olivares-Rivas, Ivan; Atrott, Kirstin; Gottier, Claudia; Lang, Silvia; Boyman, Onur; Fritsch, Ralph M; Manz, Markus G; Spalinger, Marianne R; Scharl, Michael (2021). Commensal Clostridiales strains mediate effective anti-cancer immune response against solid tumors. Cell Host & Microbe, 29(10):1573-1588.e7.
• Marquart, Kim F; Allam, Ahmed; Janjuha, Sharan; Sintsova, Anna; Villiger, Lukas; Frey, Nina; Krauthammer, Michael; Schwank, Gerald (2021). Predicting base editing outcomes with an attention-based deep learning algorithm trained on high-throughput target library screens. Nature Communications, 12:5114.
• Maibach, Martina A; Allam, Ahmed; Hilty, Matthias P; Perez Gonzalez, Nicolas A; Buehler, Philipp K; Wendel Garcia, Pedro D; Brugger, Silvio D; Ganter, Christoph C; CoViD-19 ICU-Research Group Zurich; RISC-19-ICU Investigators; Krauthammer, Michael; Schuepbach, Reto A; Bartussek, Jan (2021). How to Synchronize Longitudinal Patient Data With the Underlying Disease Progression: A Pilot Study Using the Biomarker CRP for Timing COVID-19. Frontiers in Medicine, 8:607594.
• Tastanova, Aizhan; Ramelyte, Egle; Balázs, Zsolt; Menzel, Ulrike; Beisel, Christian; Krauthammer, Michael; Dummer, Reinhard; Levesque, Mitchell Paul (2021). Collection and preprocessing of fine needle aspirate patient samples for single cell profiling and data analysis. STAR Protocols, 2(2):100581.
• Ramelyte, Egle; Tastanova, Aizhan; Balázs, Zsolt; Ignatova, Desislava; Turko, Patrick; Menzel, Ulrike; Guenova, Emmanuella; Beisel, Christian; Krauthammer, Michael; Levesque, Mitchell Paul; Dummer, Reinhard (2021). Oncolytic virotherapy-mediated anti-tumor response: a single-cell perspective. Cancer Cell, 39(3):394-406.e4.
• Alvarado-Cruz, Isabel; Mahmoud, Mariam; Khan, Mohammed; Zhao, Shilin; Oeck, Sebastian; Meas, Rithy; Clairmont, Kaylyn; Quintana, Victoria; Zhu, Ying; Porciuncula, Angelo; Wyatt, Hailey; Ma, Shuangge; Shyr, Yu; Kong, Yong; LoRusso, Patricia M; Laverty, Daniel; Nagel, Zachary D; Schalper, Kurt A; Krauthammer, Michael; Sweasy, Joann B (2021). Differential immunomodulatory effect of PARP inhibition in BRCA1 deficient and competent tumor cells. Biochemical Pharmacology, 184:114359.
• Schwarz, Kyriakos; Allam, Ahmed; Perez Gonzalez, Nicolas Andres; Krauthammer, Michael (2021). AttentionDDI: Siamese attention‑based deep learning method for drug–drug interaction predictions. BMC Bioinformatics, 22(1):412.
• Nooralahzadeh, Farhad; Perez Gonzalez, Nicolas; Frauenfelder, Thomas; Fujimoto, Koji; Krauthammer, Michael (2021). Progressive Transformer-Based Generation of Radiology Reports. In: Empirical Methods in Natural Language Processing (EMNLP), Punta Cana, 7 November 2021 - 11 November 2021. ACL Anthology, 2824-2832.
• Kinkead, Laura; Allam, Ahmed; Krauthammer, Michael (2020). AutoDiscern: rating the quality of online health information with hierarchical encoder attention-based neural networks. BMC Medical Informatics and Decision Making, 20:104.

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