Zobrazeno 1 - 10
of 2 544
pro vyhledávání: '"Kroiss A"'
Autor:
Barbara Deschler-Baier, Markus Krebs, Matthias Kroiss, Manik Chatterjee, Daniel Gundel, Christian Kestler, Alexander Kerscher, Volker Kunzmann, Silke Appenzeller, Katja Maurus, Andreas Rosenwald, Ralf Bargou, Elena Gerhard-Hartmann, Vivek Venkataramani
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-6 (2024)
Abstract This case report describes the efficacy of selpercatinib, a selective RET inhibitor, in an unusual case of large-cell neuroendocrine pancreatic carcinoma (LCNEPAC) harboring a CCDC6::RET fusion. A 56-year-old male with a history of multiple
Externí odkaz:
https://doaj.org/article/506d531186bd4f8ab0f4e6ef49c5a07e
Publikováno v:
GMS Journal for Medical Education, Vol 41, Iss 5, p Doc63 (2024)
Introduction: The competency-based catalogue of learning objectives “Principal Relevant Objectives and Framework for Integrative Learning and Education in Switzerland” (PROFILES) based on Entrustable Professional Activities (EPAs) was newly intro
Externí odkaz:
https://doaj.org/article/eddc63650d554e7ea9aeaf2da1ad956b
Autor:
Michaela Defrancesco, Elke R. Gizewski, Stephanie Mangesius, Malik Galijasevic, Irene Virgolini, Alexander Kroiss, Josef Marksteiner, Juliane Jehle, Burak Doganyigit, Alex Hofer
Publikováno v:
BJPsych Open, Vol 10 (2024)
Background Pharmacological treatment options for patients with dementia owing to Alzheimer's disease are limited to symptomatic therapy. Recently, the US Food and Drug Administration approved the monoclonal antibody lecanemab for the treatment of amy
Externí odkaz:
https://doaj.org/article/f697f9d47f5a4eb1afa5dfc857380831
Autor:
To, Huong, Reinholdt, Peter, Bashawat, Mohammad, Luck, Meike, Lauritsen, Line, Akkerman, Vibeke, Kroiss, Matthias, Wüstner, Daniel, Kongsted, Jacob, Müller, Peter, Scheidt, Holger A.
Publikováno v:
In Molecular and Cellular Endocrinology 1 December 2024 594
Various mature automated test generation tools exist for statically typed programming languages such as Java. Automatically generating unit tests for dynamically typed programming languages such as Python, however, is substantially more difficult due
Externí odkaz:
http://arxiv.org/abs/2111.05003
Autor:
Yang, Fan, Barth-Maron, Gabriel, Stańczyk, Piotr, Hoffman, Matthew, Liu, Siqi, Kroiss, Manuel, Pope, Aedan, Rrustemi, Alban
A major driver behind the success of modern machine learning algorithms has been their ability to process ever-larger amounts of data. As a result, the use of distributed systems in both research and production has become increasingly prevalent as a
Externí odkaz:
http://arxiv.org/abs/2106.04516
Autor:
DOCAO, Christine, Drui, Delphine, Borson Chazot, Francoise, Chabre, Olivier, Vezzosi, Delphine, Castinetti, Frederic, Bertherat, Jérôme, Libé, Rossella, Gimenez-Roqueplo, Anne Paule, Favier, Judith, Quinkler, Marcus, Strasburger, Christian, Zopf, Katrin, Reincke, Martin, Kroiss, Matthias, Remde, Hanna, Haaf, Michaela, Fuß, Carmina T, Dischinger, Ulrich, Eisenhofer, Graeme, Pamporaki, Christina, Van Berkel, Anouk, Baudin, Eric *, Goichot, Bernard, Berruti, Alfredo, Hadoux, Julien, Moalla, Salma, Laboureau, Sandrine, Nölting, Svenja, de la Fouchardière, Christelle, Kienitz, Tina, Deutschbein, Timo, Zovato, Stefania, Amar, Laurence, Haissaguerre, Magalie, Timmers, Henri, Niccoli, Patricia, Faggiano, Antongiulio, Angokai, Moussa, Lamartina, Livia, Luca, Florina, Cosentini, Deborah, Hahner, Stefanie, Beuschlein, Felix, Attard, Marie, Texier, Matthieu, Fassnacht, Martin
Publikováno v:
In The Lancet 16-22 March 2024 403(10431):1061-1070
Autor:
Hessel, Matteo, Kroiss, Manuel, Clark, Aidan, Kemaev, Iurii, Quan, John, Keck, Thomas, Viola, Fabio, van Hasselt, Hado
Supporting state-of-the-art AI research requires balancing rapid prototyping, ease of use, and quick iteration, with the ability to deploy experiments at a scale traditionally associated with production systems.Deep learning frameworks such as Tensor
Externí odkaz:
http://arxiv.org/abs/2104.06272
Autor:
Cassirer, Albin, Barth-Maron, Gabriel, Brevdo, Eugene, Ramos, Sabela, Boyd, Toby, Sottiaux, Thibault, Kroiss, Manuel
A central component of training in Reinforcement Learning (RL) is Experience: the data used for training. The mechanisms used to generate and consume this data have an important effect on the performance of RL algorithms. In this paper, we introduce
Externí odkaz:
http://arxiv.org/abs/2102.04736
Tests that cause spurious failures without any code changes, i.e., flaky tests, hamper regression testing, increase maintenance costs, may shadow real bugs, and decrease trust in tests. While the prevalence and importance of flakiness is well establi
Externí odkaz:
http://arxiv.org/abs/2101.09077