von Nils Moosdorf ; Michael Ernst Böttcher ; Dini Adyasari ; Ercan Erkul ; Benjamin Silas Gilfedder ; Janek Greskowiak ; Anna-Kathrina Jenner ; Lech Kotwicki ; Gudrun Massmann ; Mike Müller-Petke ; Till Oehler ; Vincent Post ; Ralf Prien ; Jan Scholten ; Bernhard Siemon ; Cátia Milene Ehlert von Ahn ; Marc Walther ; Hannelore Waska ; Tina Wunderlich ; Ulf Mallast
von Matthias Wurdack ; Tinghe Yun ; Eliezer Estrecho ; Nitu Syed ; Semonti Bhattacharyya ; Maciej Pieczarka ; Ali Zavabeti ; Shao-Yu Chen ; Benedikt Haas ; Johannes Müller ; Mark N. Lockrey ; Qiaoliang Bao ; Christian Schneider ; Yuerui Lu ; Michael S. Fuhrer ; Andrew G. Truscott ; Torben Daeneke ; Elena A. Ostrovskaya
von Jörg Albrecht ; Marcell K. Peters ; Joscha N. Becker ; Christina Behler ; Alice Claßen ; Andreas Ensslin ; Stefan W. Ferger ; Friederike Gebert ; Friederike Gerschlauer ; Maria Helbig-Bonitz ; William Joseph Kindeketa ; Anna Kühnel ; Antonia Veronika Mayr ; Henry Kenneth Njovu ; Holger Pabst ; Ulf Pommer ; Juliane Röder ; Gemma Rutten ; David Schellenberger Costa ; Natalia Sierra Cornejo ; Anna Vogeler ; Maximilian Vollstädt ; Hamadi Iddi Dulle ; Connal D. Eardley ; Kim M. Howell ; Alexander Keller ; Ralph S. Peters ; Victor Kakengi ; Claudia Hemp ; Jie Zhang ; Peter Manning ; Thomas Müller ; Christina Bogner ; Katrin Böhning-Gaese ; Roland Brandl ; Dietrich Hertel ; Bernd Huwe ; Ralf Kiese ; Michael Kleyer ; Christoph Leuschner ; Yakov Kuzyakov ; Thomas Nauss ; Marco Tschapka ; Markus Fischer ; Andreas Hemp ; Ingolf Steffan-Dewenter ; Matthias Schleuning
von Marlies Bongers ; Stephen D. Quinn ; Michael D. Mueller ; Bernhard Krämer ; Benjamin Tuschy ; Marc Sütterlin ; Ricardo Bassil Lasmar ; Andreas Thurkow ; Rudy Leon de Wilde
von Hermann L. Müller ; Johannes H. M. Merks ; Birgit Geoerger ; Jacques Grill ; Darren Hargrave ; Julia Glade Bender ; Sridharan Gururangan ; Fariba Navid ; Michael Johnston ; Jeanette Bachir ; Markus C. Elze ; Sabine Fürst-Recktenwald
von Sven Dittrich ; Joseph George Pattathu ; Friedrich Ebinger ; Joachim Eichhorn ; Reinald Motz ; Christoph Korenke ; Matthias Freund ; Michael Schumacher
X-linked Duchenne muscular dystrophy (DMD), the most frequent human hereditary skeletal muscle myopathy, inevitably leads to progressive dilated cardiomyopathy. We assessed the effect and safety of a combined treatment with the ACE-inhibitor enalapril and the β-blocker metoprolol in a German cohort of infantile and juvenile DMD patients with preserved left ventricular function.
Orphanet journal of rare diseases London : BioMed Central, 2006 14(2019), Artikel-ID 105, Seite 1-13 Online-Ressource
von David Capper ; David T. W. Jones ; Daniel Schrimpf ; Dominik Sturm ; Christian Kölsche ; Felix Sahm ; David Reuss ; Annekathrin Kratz ; Annika K. Wefers ; Kristin Huang ; Kristian Wilfried Pajtler ; Leonille Schweizer ; Damian Stichel ; Florian Selt ; Hendrik Witt ; Till Milde ; Olaf Witt ; Wolfram Scheurlen ; Christoph Geisenberger ; Stefanie Brehmer ; Marcel Seiz-Rosenhagen ; Daniel Hänggi ; Andreas Kulozik ; Axel Benner ; Martin Bendszus ; Jürgen Debus ; Michael Platten ; Andreas Unterberg ; Wolfgang Wick ; Marcel Kool ; Christel Herold-Mende ; Andreas von Deimling ; Stefan Pfister ; Hermann L. Müller
Accurate pathological diagnosis is crucial for optimal management of patients with cancer. For the approximately 100 known tumour types of the central nervous system, standardization of the diagnostic process has been shown to be particularly challenging—with substantial inter-observer variability in the histopathological diagnosis of many tumour types. Here we present a comprehensive approach for the DNA methylation-based classification of central nervous system tumours across all entities and age groups, and demonstrate its application in a routine diagnostic setting. We show that the availability of this method may have a substantial impact on diagnostic precision compared to standard methods, resulting in a change of diagnosis in up to 12% of prospective cases. For broader accessibility, we have designed a free online classifier tool, the use of which does not require any additional onsite data processing. Our results provide a blueprint for the generation of machine-learning-based tumour classifiers across other cancer entities, with the potential to fundamentally transform tumour pathology.
Nature London [u.a.] : Nature Publ. Group, 1869 555(2018), 7697, Seite 469-474 Online-Ressource
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