von Jens P. Dreier ; Coline L. Lemale ; Viktor Horst ; Sebastian Major ; Vasilis Kola ; Karl Schoknecht ; Michael Lothar Scheeler ; Jed A. Hartings ; Peter Vajkoczy ; Stefan Wolf ; Johannes Woitzik ; Nils Nicholas Hecht
von Jens P. Dreier ; Svetlana Lublinsky ; Viktor Horst ; Sebastian Major ; Coline L. Lemale ; Vasilis Kola ; Maren K. L. Winkler ; Eun-Jeung Kang ; Karl Schoknecht ; Nils Hecht ; Anna Maslarova ; Edgar Santos ; Johannes Platz ; Christina M. Kowoll ; Oliver Sakowitz ; Erdem Güresir ; Hartmut Vatter ; Christian Dohmen ; Stefan Wolf ; Michael Scheel ; Peter Vajkoczy ; Jed A. Hartings ; Johannes Woitzik ; Peter Martus ; Alon Friedman
Background - We determined the predictive power of semi-automated blood-brain barrier assessment and other variables collected during neurocritical care for the outcome of ‘epilepsy or late death’ following aneurysmal subarachnoid haemorrhage. - Methods - This is a secondary analysis of the prospective, non-interventional, prognostic DISCHARGE-1-cohort from six university hospitals in Germany. All patients who underwent at least one contrast-enhanced MRI during neurocritical care were included. Initial clinical scores and Modified Rankin Scale at day 14 were available. Subdural electrocorticography was scored for seizures and spreading depolarisations. Two MRIs, one post-aneurysm occlusion and another post-neuromonitoring, were semi-automatically segmented into cerebrospinal fluid spaces, normal brain tissue, and abnormal brain tissue. Normal and abnormal tissue were further classified into tissue with “intact” or “dysfunctional” blood-brain barrier. Epilepsy and late death were determined at a median of 3.7 years. - Findings - Abnormal, barrier-dysfunctional tissue as a percentage of intracranial volume on post-monitoring MRI was the only independent predictor of early death within three weeks among 130 patients. In the 121 early survivors, this variable was also the only independent predictor of ‘epilepsy or late death’. This result, obtained by a combination of imputation and the leaving-one-out method, was confirmed in two sensitivity analyses within smaller populations and with fewer missing values. - Interpretation - The study substantiates previous experimental evidence that blood-brain barrier dysfunction plays a key role in epileptogenesis after brain injuries. Contrast-enhanced MRI, a minimally invasive technique, highlighted abnormal, barrier-dysfunctional tissue as a stand-alone independent predictor, underscoring its potential as a ‘precision medicine’ tool in early diagnosis and intervention. - Funding - JPD and AF report a grant from the Era-Net Neuron EBio2 with funds from BMBF 01EW2004 and CIHR Award No. NDD 168164. JPD reports a grant from DFG DR 323/10-2 (project number: 413848220) and EU Horizon MSCA-DN 101119916—SOPRANI. AF reports grants from the Canadian Institutes of Health Research (CIHR) PJT 148896 and Israel Science Foundation (ISF) 2254/20. NH is Berlin Institute of Health Clinical Fellow, funded by Stiftung Charité.
The cooperative maneuver coordination allows for automated and connected vehicles to execute cooperative driving maneuvers, in order to increase the traffic safety and efficiency on the roads. The development of the associated cooperative driving functions requires a comprehensive testing, due to a large number of aspects needed to be considered. This dissertation introduces a novel methodology for the verification and validation of the cooperative driving functions with an intelligent co-simulation framework, including the approaches considering the preparation of scenarios through machine learning, the coupled simulation of vehicle and traffic, as well as the application of relevant traffic quality metrics. Eventually, a simulation-based Remote-Adaptable Prototype-in-the-Loop method is presented in the context of mixed reality, offering a solution for a fast and effort-efficient testing of the cooperative driving functions.
Die kooperative Manöverkoordinierung ermöglicht es den automatisierten und vernetzten Fahrzeugen kooperative Fahrmanöver auszuführen, um die Verkehrssicherheit und -effizienz auf den Straßen zu erhöhen. Die Entwicklung von dazugehörigen kooperativen Fahrfunktionen bedarf eines umfassenden Testens aufgrund einer großen Anzahl zu berücksichtigender Aspekte. Diese Dissertation schlägt eine neuartige Methodik zur Verifizierung und Validierung von kooperativen Fahrfunktionen durch ein Intelligent Co-Simulation Framework vor, inklusive der Ansätze hinsichtlich der Vorbereitung von Szenarien durch maschinelles Lernen, der gekoppelten Simulation von Fahrzeug und Verkehr sowie der Anwendung von relevanten Metriken der Verkehrsqualität. Schließlich wird eine simulationsbasierte Remote-Adaptable Prototype-in-the-Loop Methode im Kontext der gemischten Realität vorgestellt, die eine Lösung für schnelles und aufwandseffizientes Testen von kooperativen Fahrfunktionen bietet.
von Duy Minh Ho Nguyen ; Nina Lukashina ; Tai Nguyen ; An Thai Le ; Trungtin Nguyen ; Nhat Ho ; Jan Peters ; Daniel Sonntag ; Viktor Zaverkin ; Mathias Niepert
International Conference on Machine Learning (41. : 2024 : Wien) Forty-first International Conference on Machine Learning [Erscheinungsort nicht ermittelbar] : MLResearch Press, 2024 (2024), Seite 37736-37760 1 Online-Ressource
von Julie George ; Lukas Maas ; Nima Abedpour ; Maria Cartolano ; Laura Kaiser ; Rieke Nila Fischer ; Andreas H. Scheel ; Jan-Philipp Weber ; Martin Hellmich ; Graziella Bosco ; Caroline Volz ; Christian Müller ; Ilona Dahmen ; Felix John ; Cleidson Padua Alves ; Lisa Werr ; Jens Peter Panse ; Martin Kirschner ; Walburga Engel-Riedel ; Jessica Jürgens ; Erich Stoelben ; Michael Brockmann ; Stefan Grau ; Martin Sebastian ; Jan Alexander Stratmann ; Jens Kern ; Horst-Dieter Hummel ; Balazs Hegedus ; Martin Schuler ; Till Plönes ; Clemens Aigner ; Thomas Elter ; Karin Toepelt ; Yon-Dschun Ko ; Sylke Kurz ; Christian Grohé ; Monika Serke ; Katja Anne Höpker ; Lars Gerd Hagmeyer ; Fabian Doerr ; Khosro Hekmath ; Judith Strapatsas ; Karl-Otto Kambartel ; Geothy Chakupurakal ; Annette Hülsmeyer ; Franz-Georg Bauernfeind ; Frank Griesinger ; Anne Lüers ; Wiebke Dirks ; Rainer Gerhard Wiewrodt ; Andrea Luecke ; Ernst Michael Rodermann ; Andreas Diel ; Volker Hagen ; Kai Severin ; Roland Ullrich ; Christian Reinhardt ; Alexander Quaas ; Magdalena Bogus ; Cornelius Courts ; Peter Nürnberg ; Kerstin Becker ; Viktor Achter ; Reinhard Büttner ; Jürgen Wolf ; Martin Peifer ; Roman Thomas
von Sven Müller ; Dirk Alfons Weyhe ; Florian Herrle ; Philipp Horvath ; Robert Bachmann ; Viktor von Ehrlich-Treuenstätt ; Patrick Heger ; Nadir Nasir ; Christina Klose ; Alexander Ritz ; Anja Sander ; Erich Grohmann ; Colette Dörr-Harim ; André L. Mihaljevic
Incisional hernia is a frequent complication following loop ileostomy reversal. Incisional hernias are associated with morbidity, loss of health-related quality of life and costs and warrant the investigation of prophylactic measures. Prophylactic mesh implantation at the time of surgical stoma reversal has shown to be a promising and safe method to prevent incisional hernias in this setting. However, the efficacy of this method has not yet been investigated in a large multicentre randomised-controlled trial (RCT) with adequate external validity. The P.E.L.I.O.N. trial will evaluate the efficacy of prophylactic mesh reinforcement after loop ileostomy closure in decreasing the rate of incisional hernia versus standard closure alone.
Trials London : BioMed Central, 2000 24(2023), Artikel-ID 76, Seite 1-17 Online-Ressource
Gesellschaft für Informatik (52. : 2022 : Hamburg) Informatik 2022 Berlin : Gesellschaft für Informatik e.V., 2022 (2022), Seite 1223 1 Online-Ressource (1698 Seiten)
