Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ingrid Gatz"'
Autor:
Alexander Hapfelmeier, Begum Irmak On, Mark Mühlau, Jan S. Kirschke, Achim Berthele, Christiane Gasperi, Ulrich Mansmann, Alexander Wuschek, Matthias Bussas, Martin Boeker, Antonios Bayas, Makbule Senel, Joachim Havla, Markus C. Kowarik, Klaus Kuhn, Ingrid Gatz, Helmut Spengler, Benedikt Wiestler, Lioba Grundl, Dominik Sepp, Bernhard Hemmer
Publikováno v:
Therapeutic Advances in Neurological Disorders, Vol 16 (2023)
Background: Multiple sclerosis (MS) is a chronic neuroinflammatory disease affecting about 2.8 million people worldwide. Disease course after the most common diagnoses of relapsing-remitting multiple sclerosis (RRMS) and clinically isolated syndrome
Externí odkaz:
https://doaj.org/article/ea30989b6c7f42669dc1741927f2dd1f
Autor:
Nikole Radani, Amira Metwaly, Sandra Reitmeier, Theresa Baumeister, Jonas Ingermann, Julia Horstmann, Akanksha Anand, Ingrid Gatz, Florian Kohlmayer, Klaus-Peter Janssen, Julia Slotta-Huspenina, Roland M. Schmid, Dirk Haller, Julian A. Abrams, Michael Quante
Publikováno v:
Gastro Hep Advances, Vol 1, Iss 5, Pp 755-766 (2022)
Background and Aims: Esophageal adenocarcinoma (EAC) incidence has risen dramatically in the Western countries over the past decades. The underlying reasons are incompletely understood, and shifts in the esophageal microbiome have been postulated to
Externí odkaz:
https://doaj.org/article/ecf22d062de1458e84dc182c4f71316e
Publikováno v:
JMIR Medical Informatics, Vol 8, Iss 7, p e15918 (2020)
JMIR Medical Informatics
JMIR Medical Informatics
Background Modern data-driven medical research provides new insights into the development and course of diseases and enables novel methods of clinical decision support. Clinical and translational data warehouses, such as Informatics for Integrating B
Publikováno v:
CBMS
Clinical and translational data warehouses are important infrastructure building blocks for modern data-driven approaches in medical research. These analytics-oriented databases have been designed to integrate heterogeneous biomedical datasets from d
BACKGROUND Modern data-driven medical research provides new insights into the development and course of diseases and enables novel methods of clinical decision support. Clinical and translational data warehouses, such as Informatics for Integrating B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26cdae601b4c439eb2d6d4b8702d96ff
https://doi.org/10.2196/preprints.15918
https://doi.org/10.2196/preprints.15918