Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Van Molle P"'
Autor:
Benoit Stijlemans, Patrick De Baetselier, Inge Van Molle, Laurence Lecordier, Erika Hendrickx, Ema Romão, Cécile Vincke, Wendy Baetens, Steve Schoonooghe, Gholamreza Hassanzadeh-Ghassabeh, Hannelie Korf, Marie Wallays, Joar E. Pinto Torres, David Perez-Morga, Lea Brys, Oscar Campetella, María S. Leguizamón, Mathieu Claes, Sarah Hendrickx, Dorien Mabille, Guy Caljon, Han Remaut, Kim Roelants, Stefan Magez, Jo A. Van Ginderachter, Carl De Trez
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract Human African trypanosomiasis or sleeping sickness, caused by the protozoan parasite Trypanosoma brucei, is characterized by the manipulation of the host’s immune response to ensure parasite invasion and persistence. Uncovering key molecul
Externí odkaz:
https://doaj.org/article/246f0d22755a498bb72fe9a96e853695
Autor:
Marcel H.N. Hoefnagel, Paul Stickings, Dean Smith, Carmen Jungbäck, Wim Van Molle, Lorenzo Tesolin
Publikováno v:
Expert Review of Vaccines, Vol 22, Iss 1, Pp 369-377 (2023)
Introduction There are rational arguments to replace existing in vivo potency and safety assays for batch release testing of vaccines with more advanced non-animal techniques to measure critical quality attributes. However, the introduction of in vit
Externí odkaz:
https://doaj.org/article/4509f536acc5435da3513fc7a0fa1c3f
Visualizing Convolutional Neural Networks to Improve Decision Support for Skin Lesion Classification
Autor:
Van Molle, Pieter, De Strooper, Miguel, Verbelen, Tim, Vankeirsbilck, Bert, Simoens, Pieter, Dhoedt, Bart
Because of their state-of-the-art performance in computer vision, CNNs are becoming increasingly popular in a variety of fields, including medicine. However, as neural networks are black box function approximators, it is difficult, if not impossible,
Externí odkaz:
http://arxiv.org/abs/1809.03851
Autor:
Van Molle, Pieter, Verbelen, Tim, De Coninck, Elias, De Boom, Cedric, Simoens, Pieter, Dhoedt, Bart
Learning-based approaches for robotic grasping using visual sensors typically require collecting a large size dataset, either manually labeled or by many trial and errors of a robotic manipulator in the real or simulated world. We propose a simpler l
Externí odkaz:
http://arxiv.org/abs/1806.03486
Reinforcement learning is a proven technique for an agent to learn a task. However, when learning a task using reinforcement learning, the agent cannot distinguish the characteristics of the environment from those of the task. This makes it harder to
Externí odkaz:
http://arxiv.org/abs/1708.02838
Autor:
Alexander I. Kostyuk, Maria-Armineh Tossounian, Anastasiya S. Panova, Marion Thauvin, Roman I. Raevskii, Daria Ezeriņa, Khadija Wahni, Inge Van Molle, Anastasia D. Sergeeva, Didier Vertommen, Andrey Yu. Gorokhovatsky, Mikhail S. Baranov, Sophie Vriz, Joris Messens, Dmitry S. Bilan, Vsevolod V. Belousov
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-17 (2022)
There are a lack of tools to study the dynamics of (pseudo)hypohalous acids in live cells. Here the authors report a genetically encoded fluorescent biosensor, Hypocrates, for (pseudo)hypohalous acids and their derivatives which they use in cells and
Externí odkaz:
https://doaj.org/article/9229963fe3634d69b8cb16d786e0e272
Akademický článek
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Autor:
Joris Vandeputte, Wim Van Molle, Marlies Halder, Jean-Francois Dierick, Julie Lorenz, Carmen Jungbaeck, Patrice Riou, Jean-Marie Préaud, Sylvie Uhlrich, Lorenzo Tesolin
Publikováno v:
Open Research Europe, Vol 2 (2022)
The aim of this letter is to share the discussions and proposals made by the VAC2VAC consortium on how to support the deployment of the “Consistency Approach” for quality control of established vaccines and thus facilitate the substitution of in
Externí odkaz:
https://doaj.org/article/eb11d678489c43e68403b518d0c1d37f
Akademický článek
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Akademický článek
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