Zobrazeno 1 - 10
of 6 699
pro vyhledávání: '"Zerbe, A"'
Autor:
Zerbe, Norman, Schwen, Lars Ole, Geißler, Christian, Wiesemann, Katja, Bisson, Tom, Boor, Peter, Carvalho, Rita, Franz, Michael, Jansen, Christoph, Kiehl, Tim-Rasmus, Lindequist, Björn, Pohlan, Nora Charlotte, Schmell, Sarah, Strohmenger, Klaus, Zakrzewski, Falk, Plass, Markus, Takla, Michael, Küster, Tobias, Homeyer, André, Hufnagl, Peter
Publikováno v:
Journal of Pathology Informatics 2024
Over the past decade, artificial intelligence (AI) methods in pathology have advanced substantially. However, integration into routine clinical practice has been slow due to numerous challenges, including technical and regulatory hurdles in translati
Externí odkaz:
http://arxiv.org/abs/2401.09450
Autor:
Hannah‐Lea Schmid, Anna Nowak, Lydia Oeljeklaus, Timothy McCall, Claudia Hornberg, Barbara A. Caspers, Stefan Zerbe
Publikováno v:
People and Nature, Vol 6, Iss 4, Pp 1592-1604 (2024)
Abstract Nature and natural elements have been proven to promote mental health and well‐being but there is a research gap regarding psychiatric environments, despite the importance of psychiatric hospitals for mental health. It is essential to unde
Externí odkaz:
https://doaj.org/article/b0cdaee218504874b26ca77e1c25983c
Pathology laboratories are increasingly using digital workflows. This has the potential of increasing lab efficiency, but the digitization process also involves major challenges. Several reports have been published describing the individual experienc
Externí odkaz:
http://arxiv.org/abs/2306.03619
Publikováno v:
Natural Hazards Research, Vol 4, Iss 2, Pp 288-294 (2024)
Wildfires have become increasingly prevalent in the western United States, posing threats to human communities and the built environment. This study builds upon previous research by investigating the factors influencing wildfire hot spot distribution
Externí odkaz:
https://doaj.org/article/52ded4260bf94dbd9cc9a99d7f438e13
Autor:
Katharina Müller-Langhans, Lisa Oberberger, Yury Zablotski, Susanne Engelmann, Martina Hoedemaker, Christa Kühn, Hans-Joachim Schuberth, Holm Zerbe, Wolfram Petzl, Marie Margarete Meyerholz-Wohllebe
Publikováno v:
BMC Veterinary Research, Vol 20, Iss 1, Pp 1-16 (2024)
Abstract Background In dairy cattle, mastitis causes high financial losses and impairs animal well-being. Genetic selection is used to breed cows with reduced mastitis susceptibility. Techniques such as milk cell flow cytometry may improve early mast
Externí odkaz:
https://doaj.org/article/04adc5ccaf89426eb1489a080ea42a0e
Autor:
Bisson, Tom, Franz, Michael, O, Isil Dogan, Romberg, Daniel, Jansen, Christoph, Hufnagl, Peter, Zerbe, Norman
Objective: The exchange of health-related data is subject to regional laws and regulations, such as the General Data Protection Regulation (GDPR) in the EU or the Health Insurance Portability and Accountability Act (HIPAA) in the United States, resul
Externí odkaz:
http://arxiv.org/abs/2211.06103
Autor:
Ehren Dancy, Pamela Stratton, Dominique C. Pichard, Beatriz E. Marciano, Edward W. Cowen, Alison A. McBride, Koenraad Van Doorslaer, Melissa A. Merideth, Noemi Salmeri, Marybeth S. Hughes, Theo Heller, Mark Parta, Dennis D. Hickstein, Heidi H. Kong, Steven M. Holland, Christa S. Zerbe
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
ObjectivePatients with pathogenic variants in the GATA Binding Protein 2 (GATA2), a hematopoietic transcription factor, are at risk for human papillomavirus-related (HPV) anogenital cancer at younger than expected ages. A female cohort with GATA2 hap
Externí odkaz:
https://doaj.org/article/d6962edf636b4e08a6feb288037c400d
Autor:
Homeyer, André, Geißler, Christian, Schwen, Lars Ole, Zakrzewski, Falk, Evans, Theodore, Strohmenger, Klaus, Westphal, Max, Bülow, Roman David, Kargl, Michaela, Karjauv, Aray, Munné-Bertran, Isidre, Retzlaff, Carl Orge, Romero-López, Adrià, Sołtysiński, Tomasz, Plass, Markus, Carvalho, Rita, Steinbach, Peter, Lan, Yu-Chia, Bouteldja, Nassim, Haber, David, Rojas-Carulla, Mateo, Sadr, Alireza Vafaei, Kraft, Matthias, Krüger, Daniel, Fick, Rutger, Lang, Tobias, Boor, Peter, Müller, Heimo, Hufnagl, Peter, Zerbe, Norman
Publikováno v:
Mod Pathol (2022)
Artificial intelligence (AI) solutions that automatically extract information from digital histology images have shown great promise for improving pathological diagnosis. Prior to routine use, it is important to evaluate their predictive performance
Externí odkaz:
http://arxiv.org/abs/2204.14226
Autor:
Norman Zerbe, Lars Ole Schwen, Christian Geißler, Katja Wiesemann, Tom Bisson, Peter Boor, Rita Carvalho, Michael Franz, Christoph Jansen, Tim-Rasmus Kiehl, Björn Lindequist, Nora Charlotte Pohlan, Sarah Schmell, Klaus Strohmenger, Falk Zakrzewski, Markus Plass, Michael Takla, Tobias Küster, André Homeyer, Peter Hufnagl
Publikováno v:
Journal of Pathology Informatics, Vol 15, Iss , Pp 100387- (2024)
Over the past decade, artificial intelligence (AI) methods in pathology have advanced substantially. However, integration into routine clinical practice has been slow due to numerous challenges, including technical and regulatory hurdles in translati
Externí odkaz:
https://doaj.org/article/224c25035ba642a39b737874f9152e0c
Autor:
Yair Mina, Ahnika Kline, Maura Manion, Dima A. Hammoud, Tianxia Wu, Julie Hogan, Irini Sereti, Bryan R. Smith, Christa S. Zerbe, Steven M. Holland, Avindra Nath
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
IntroductionNontuberculous mycobacteria (NTM) mediated infections are important to consider in cases with neuroinflammatory presentations. We aimed to characterize cases of NTM with neurological manifestations at the National Institutes of Health (NI
Externí odkaz:
https://doaj.org/article/79ef037e09b04c8d920057c2c268713f