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pro vyhledávání: '"A Trumpp"'
The interactive decision-making in multi-agent autonomous racing offers insights valuable beyond the domain of self-driving cars. Mapless online path planning is particularly of practical appeal but poses a challenge for safely overtaking opponents d
Externí odkaz:
http://arxiv.org/abs/2403.07129
Autor:
Evans, Benjamin David, Trumpp, Raphael, Caccamo, Marco, Jahncke, Felix, Betz, Johannes, Jordaan, Hendrik Willem, Engelbrecht, Herman Arnold
The F1TENTH autonomous driving platform, consisting of 1:10-scale remote-controlled cars, has evolved into a well-established education and research platform. The many publications and real-world competitions span many domains, from classical path pl
Externí odkaz:
http://arxiv.org/abs/2402.18558
Autonomous driving involves complex decision-making in highly interactive environments, requiring thoughtful negotiation with other traffic participants. While reinforcement learning provides a way to learn such interaction behavior, efficient learni
Externí odkaz:
http://arxiv.org/abs/2305.19904
The development of vehicle controllers for autonomous racing is challenging because racing cars operate at their physical driving limit. Prompted by the demand for improved performance, autonomous racing research has seen the proliferation of machine
Externí odkaz:
http://arxiv.org/abs/2302.07035
Autor:
Theile, Mirco, Bernardini, Daniele, Trumpp, Raphael, Piazza, Cristina, Caccamo, Marco, Sangiovanni-Vincentelli, Alberto L.
Modern cyber-physical systems are becoming increasingly complex to model, thus motivating data-driven techniques such as reinforcement learning (RL) to find appropriate control agents. However, most systems are subject to hard constraints such as saf
Externí odkaz:
http://arxiv.org/abs/2301.11461
Mutation analysis in individual circulating tumor cells depicts intratumor heterogeneity in melanoma
Autor:
Mark Sementsov, Leonie Ott, Julian Kött, Alexander Sartori, Amelie Lusque, Sarah Degenhardt, Bertille Segier, Isabel Heidrich, Beate Volkmer, Rüdiger Greinert, Peter Mohr, Ronald Simon, Julia-Christina Stadler, Darryl Irwin, Claudia Koch, Antje Andreas, Benjamin Deitert, Verena Thewes, Andreas Trumpp, Andreas Schneeweiss, Yassine Belloum, Sven Peine, Harriett Wikman, Sabine Riethdorf, Stefan W Schneider, Christoffer Gebhardt, Klaus Pantel, Laura Keller
Publikováno v:
EMBO Molecular Medicine, Vol 16, Iss 7, Pp 1560-1578 (2024)
Abstract Circulating tumor DNA (ctDNA) is the cornerstone of liquid biopsy diagnostics, revealing clinically relevant genomic aberrations from blood of cancer patients. Genomic analysis of single circulating tumor cells (CTCs) could provide additiona
Externí odkaz:
https://doaj.org/article/4b6305c88a944631907935568207306e
Autor:
Lisa-Marie Rieckmann, Michael Spohn, Lisa Ruff, David Agorku, Lisa Becker, Alina Borchers, Jenny Krause, Roisin O’Reilly, Jurek Hille, Janna-Lisa Velthaus-Rusik, Niklas Beumer, Armin Günther, Lena Willnow, Charles D. Imbusch, Peter Iglauer, Ronald Simon, Sören Franzenburg, Hauke Winter, Michael Thomas, Carsten Bokemeyer, Nicola Gagliani, Christian F. Krebs, Martin Sprick, Olaf Hardt, Sabine Riethdorf, Andreas Trumpp, Nikolas H. Stoecklein, Sven Peine, Philipp Rosenstiel, Klaus Pantel, Sonja Loges, Melanie Janning
Publikováno v:
Molecular Cancer, Vol 23, Iss 1, Pp 1-9 (2024)
Abstract Background Circulating tumor cells (CTCs) hold immense promise for unraveling tumor heterogeneity and understanding treatment resistance. However, conventional methods, especially in cancers like non-small cell lung cancer (NSCLC), often yie
Externí odkaz:
https://doaj.org/article/2c341ef7571b4502937a3beb26a74b4b
Autor:
Carsten Berndt, Hamed Alborzinia, Vera Skafar Amen, Scott Ayton, Uladzimir Barayeu, Alexander Bartelt, Hülya Bayir, Christina M. Bebber, Kivanc Birsoy, Jan P. Böttcher, Simone Brabletz, Thomas Brabletz, Ashley R. Brown, Bernhard Brüne, Giorgia Bulli, Alix Bruneau, Quan Chen, Gina M. DeNicola, Tobias P. Dick, Ayelén Distéfano, Scott J. Dixon, Jan B. Engler, Julia Esser-von Bieren, Maria Fedorova, José Pedro Friedmann Angeli, Manuel A. Friese, Dominic C. Fuhrmann, Ana J. García-Sáez, Karolina Garbowicz, Magdalena Götz, Wei Gu, Linda Hammerich, Behrouz Hassannia, Xuejun Jiang, Aicha Jeridi, Yun Pyo Kang, Valerian E. Kagan, David B. Konrad, Stefan Kotschi, Peng Lei, Marlène Le Tertre, Sima Lev, Deguang Liang, Andreas Linkermann, Carolin Lohr, Svenja Lorenz, Tom Luedde, Axel Methner, Bernhard Michalke, Anna V. Milton, Junxia Min, Eikan Mishima, Sebastian Müller, Hozumi Motohashi, Martina U. Muckenthaler, Shohei Murakami, James A. Olzmann, Gabriela Pagnussat, Zijan Pan, Thales Papagiannakopoulos, Lohans Pedrera Puentes, Derek A. Pratt, Bettina Proneth, Lukas Ramsauer, Raphael Rodriguez, Yoshiro Saito, Felix Schmidt, Carina Schmitt, Almut Schulze, Annemarie Schwab, Anna Schwantes, Mariluz Soula, Benedikt Spitzlberger, Brent R. Stockwell, Leonie Thewes, Oliver Thorn-Seshold, Shinya Toyokuni, Wulf Tonnus, Andreas Trumpp, Peter Vandenabeele, Tom Vanden Berghe, Vivek Venkataramani, Felix C.E. Vogel, Silvia von Karstedt, Fudi Wang, Frank Westermann, Chantal Wientjens, Christoph Wilhelm, Michele Wölk, Katherine Wu, Xin Yang, Fan Yu, Yilong Zou, Marcus Conrad
Publikováno v:
Redox Biology, Vol 75, Iss , Pp 103211- (2024)
Ferroptosis is a pervasive non-apoptotic form of cell death highly relevant in various degenerative diseases and malignancies. The hallmark of ferroptosis is uncontrolled and overwhelming peroxidation of polyunsaturated fatty acids contained in membr
Externí odkaz:
https://doaj.org/article/704bf377a6004407992c3cd92011cf30
Publikováno v:
Molecular Oncology, Vol 18, Iss 3, Pp 475-478 (2024)
Acute myeloid leukemia (AML) therapy is undergoing rapid development, but primary and acquired resistance to therapy complicates the prospect of a durable cure. Recent functional and single‐cell multi‐omics approaches have greatly expanded our kn
Externí odkaz:
https://doaj.org/article/2cbca0ddf08d4462bb2036ee4e07de6e
Autor:
Mirco Theile, Daniele Bernardini, Raphael Trumpp, Cristina Piazza, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli
Publikováno v:
IEEE Access, Vol 12, Pp 40668-40681 (2024)
Modern cyber-physical systems are becoming increasingly complex to model, thus motivating data-driven techniques such as reinforcement learning (RL) to find appropriate control agents. However, most systems are subject to hard constraints such as saf
Externí odkaz:
https://doaj.org/article/ef2417f41bf04b60936960200959b06a