Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Carsten U, Niemann"'
Publikováno v:
Haematologica, Vol 999, Iss 1 (2024)
Not available.
Externí odkaz:
https://doaj.org/article/04f8af8e611d4009b4e70919c47885d2
Autor:
Tereza Faitova, Mariana Coelho, Caspar da Cunha-Bang, Selcen Ozturk, Ece Kartal, Peer Bork, Martina Seiffert, Carsten U. Niemann
Publikováno v:
Haematologica, Vol 999, Iss 1 (2024)
The gut microbiota play a critical role in maintaining a healthy human body and their dysregulation is associated with various diseases. In this study, we investigated the influence of the gut microbiome diversity on chronic lymphocytic leukemia (CLL
Externí odkaz:
https://doaj.org/article/4035c012d7a9418fb76f8315d98a3d3f
Publikováno v:
HemaSphere, Vol 8, Iss 3, Pp n/a-n/a (2024)
Externí odkaz:
https://doaj.org/article/4167cc770880477896acdfd8ab42ac57
Autor:
Christian M. Jensen, Junia C. Costa, Jens C. Nørgaard, Adrian G. Zucco, Bastian Neesgaard, Carsten U. Niemann, Sisse R. Ostrowski, Joanne Reekie, Birgit Holten, Anna Kalhauge, Michael A. Matthay, Jens D. Lundgren, Marie Helleberg, Kasper S. Moestrup
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Spatial resolution in existing chest x-ray (CXR)-based scoring systems for coronavirus disease 2019 (COVID-19) pneumonia is low, and should be increased for better representation of anatomy, and severity of lung involvement. An existing CXR-
Externí odkaz:
https://doaj.org/article/c6143a3479414b7992a3b36d75b64546
Autor:
Karoline Kielbassa, Marco Haselager, Danique Bax, Bianca van Driel, Mark-David Levin, Sabina Kersting, Rebecka Svanberg, Carsten U. Niemann, Arnon P. Kater, Eric Eldering
Publikováno v:
HemaSphere, Vol 7, p e7227685 (2023)
Externí odkaz:
https://doaj.org/article/63f6b909adb44b399ece053994855bb8
Personalized survival probabilities for SARS-CoV-2 positive patients by explainable machine learning
Autor:
Adrian G. Zucco, Rudi Agius, Rebecka Svanberg, Kasper S. Moestrup, Ramtin Z. Marandi, Cameron Ross MacPherson, Jens Lundgren, Sisse R. Ostrowski, Carsten U. Niemann
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Interpretable risk assessment of SARS-CoV-2 positive patients can aid clinicians to implement precision medicine. Here we trained a machine learning model to predict mortality within 12 weeks of a first positive SARS-CoV-2 test. By leveragin
Externí odkaz:
https://doaj.org/article/ab4930ae24b141eaa08fd86ddee41197
The protective role of the microenvironment in hairy cell leukemia treatment: Facts and perspectives
Autor:
Ernesto Gargiulo, Mirta Giordano, Carsten U. Niemann, Etienne Moussay, Jérôme Paggetti, Pablo Elías Morande
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
Hairy cell leukemia (HCL) is an incurable, rare lymphoproliferative hematological malignancy of mature B cAlthough first line therapy with purine analogues leads to positive results, almost half of HCL patients relapse after 5-10 years, and standard
Externí odkaz:
https://doaj.org/article/12379cf97fc2489581ae1fd6af876f86
Autor:
Carsten U. Niemann, Farrukh T. Awan, Laura Fogliatto, Eugene Nikitin, Olga Samoilova, Adel Habib, Kayhan Foroutanpour, Nataliya Kuptsova-Clarkson, Stephen Opat
Publikováno v:
HemaSphere, Vol 6, Iss 10, p e780 (2022)
Externí odkaz:
https://doaj.org/article/b2ad5d4541f54b63afd90e243fe5c891
Autor:
Tereza Faitová, Rebecka Svanberg, Caspar da Cunha-Bang, Emma E. Ilett, Mette Jørgensen, Marc Noguera-Julian, Roger Paredes, Cameron R. MacPherson, Carsten U. Niemann
Publikováno v:
Haematologica, Vol 107, Iss 9 (2022)
Externí odkaz:
https://doaj.org/article/f3981db424c148e193d4dc8aa30eaa76
Autor:
Rudi Agius, Christian Brieghel, Michael A. Andersen, Alexander T. Pearson, Bruno Ledergerber, Alessandro Cozzi-Lepri, Yoram Louzoun, Christen L. Andersen, Jacob Bergstedt, Jakob H. von Stemann, Mette Jørgensen, Man-Hung Eric Tang, Magnus Fontes, Jasmin Bahlo, Carmen D. Herling, Michael Hallek, Jens Lundgren, Cameron Ross MacPherson, Jan Larsen, Carsten U. Niemann
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-17 (2020)
Chronic lymphocytic leukemia is an indolent disease, and many patients succumb to infection rather than the direct effects of the disease. Here, the authors use medical records and machine learning to predict the patients that may be at risk of infec
Externí odkaz:
https://doaj.org/article/d34aa0eace4042dc8ea0d505bfcb57d5