Michael Krauthammer

Publications in ZORA

Export

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.
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.
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.
Wang, Xuefeng; Yu, Xiaoqing; Krauthammer, Michael; Hugo, Willy; Duan, Chunzhe; Kanetsky, Peter A; Teer, Jamie K; Thompson, Zachary J; Kalos, Denise; Tsai, Kenneth Y; Smalley, Keiran SM; Sondak, Vernon K; Chen, Y Ann; Conejo-Garcia, Jose R (2020). The association of MUC16 mutation with tumor mutation burden and its prognostic implications in cutaneous melanoma. Cancer Epidemiology Biomarkers & Prevention, 29(9):1792-1799.
Böhlen, Michael Hanspeter; Dolmatova, Oksana; Krauthammer, Michael; Mariyagnanaseelan, Alphonse; Stahl, Jonathan; Surbeck, Timo (2020). Iterations for Propensity Score Matching in MonetDB. In: 24thvEuropean Conference on Advances in Databases and Information Systems, ADBIS 2020, Lyon, 25 August 2020 - 27 August 2020. Springer, 189-203.
Biller-Andorno, Nikola; Ferrario, Andrea; Joebges, Susanne; Krones, Tanja; Massini, Federico; Barth, Phyllis; Arampatzis, Georgios; Krauthammer, Michael (2020). AI support for ethical decision-making around resuscitation: proceed with care. medRxiv - Cold Spring Harbor Laboratory 20171769, University of Zurich.
Frick-Cheng, Arwen E; Sintsova, Anna; Smith, Sara N; Krauthammer, Michael; Eaton, Kathryn A; Mobley, Harry L T (2020). The Gene Expression Profile of Uropathogenic Escherichia coli in Women with Uncomplicated Urinary Tract Infections Is Recapitulated in the Mouse Model. mBio, 11(4):e01412-20..
Vokinger, Kerstin Noëlle; Stekhoven, Daniel J; Krauthammer, Michael (2020). Lost in anonymization — A data anonymization reference classification merging legal and technical considerations. Journal of Law, Medicine & Ethics, 48(1):228-231.
Marquart, Kim F; Allam, Ahmed; Janjuha, Sharan; Sintsova, Anna; Villiger, Lukas; Frey, Nina; Krauthammer, Michael; Schwank, Gerald (2020). Predicting base editing outcomes with an attention-based deep learning algorithm trained on high-throughput target library screens. bioRxiv 186544, University of Zurich.
Allam, Ahmed; Nagy, Mate; Thoma, George; Krauthammer, Michael (2019). Neural networks versus Logistic regression for 30 days all-cause readmission prediction. Scientific Reports, 9(1):9277.
Krauthammer, Michael. Mobile Health – Eine Technologie wird erwachsen. In: readme : Das Bulletin derUZH Alumni Informatik, 41, 1 September 2019, p.3-5.

Publications in ZORA

Fusszeile