Zobrazeno 1 - 10
of 6 725
pro vyhledávání: '"P, Ströbel"'
Autor:
Arora Bharti, Kulkarni Ajinkya, Markus M. Andrea, Ramos-Gomes Fernanda, Bohnenberger Hanibal, Ströbel Philipp, Alves Frauke, Klein Oliver
Publikováno v:
npj Imaging, Vol 2, Iss 1, Pp 1-12 (2024)
Abstract Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide, accentuated by its heterogeneity and complex tumour microenvironment (TME). The role of TME on tumour pathophysiology is pivotal, especially the influence
Externí odkaz:
https://doaj.org/article/af165e7f825443359cd09d903593de69
Autor:
Abhishek Aich, Angela Boshnakovska, Steffen Witte, Tanja Gall, Kerstin Unthan-Fechner, Roya Yousefi, Arpita Chowdhury, Drishan Dahal, Aditi Methi, Svenja Kaufmann, Ivan Silbern, Jan Prochazka, Zuzana Nichtova, Marcela Palkova, Miles Raishbrook, Gizela Koubkova, Radislav Sedlacek, Simon E. Tröder, Branko Zevnik, Dietmar Riedel, Susann Michanski, Wiebke Möbius, Philipp Ströbel, Christian Lüchtenborg, Patrick Giavalisco, Henning Urlaub, Andre Fischer, Britta Brügger, Stefan Jakobs, Peter Rehling
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-20 (2024)
Abstract Mitochondrial oxidative phosphorylation (OXPHOS) fuels cellular ATP demands. OXPHOS defects lead to severe human disorders with unexplained tissue specific pathologies. Mitochondrial gene expression is essential for OXPHOS biogenesis since c
Externí odkaz:
https://doaj.org/article/fbb1f03201784bd1bc12298332352d79
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 2, Pp 1072-1086 (2024)
This study addresses a significant gap in the field of time series regression modeling by highlighting the central role of data augmentation in improving model accuracy. The primary objective is to present a detailed methodology for systematic sampli
Externí odkaz:
https://doaj.org/article/3be8dc8253e2429496cc99169865fa2e
Autor:
Monica Toma, Caroline Bönisch, Benjamin Löhnhardt, Michael Kelm, Hanibal Bohnenberger, Sven Winkelmann, Philipp Ströbel, Tibor Kesztyüs
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Translational data is of paramount importance for medical research and clinical innovation. It has the potential to benefit individuals and organizations, however, the protection of personal data must be guaranteed. Collecting diverse omics
Externí odkaz:
https://doaj.org/article/936bf14fe7664a438dc713f7955d857a
Autor:
Johannes Uhlig, Annemarie Uhlig, Hari Deshpande, Philipp Ströbel, Lutz Trojan, Joachim Lotz, Michael Hurwitz, Omeed Hafez, Peter Humphrey, Viktor Grünwald, Hyun S. Kim
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract To assess epidemiology, clinical presentation, treatment and overall survival of adult patients with renal sarcomas, the 2004–2016 SEER and NCDB databases were queried for adult patients diagnosed with renal sarcoma, calculating average an
Externí odkaz:
https://doaj.org/article/c8363869872047e39dfe581fdc99fe18
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The molecular pathogenesis of colorectal cancer is known to differ between the right and left side of the colon. Several previous studies have focussed on the differences in clinicopathological features, proteomic and genetic biomarkers, the
Externí odkaz:
https://doaj.org/article/5ce1df207e7f4e5c93c9ba4811bd2d60
Autor:
Radina Kostadinova, Simon Ströbel, Li Chen, Katia Fiaschetti‑Egli, Jana Gadient, Agnieszka Pawlowska, Louis Petitjean, Manuela Bieri, Eva Thoma, Mathieu Petitjean
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Metabolic dysfunction-associated steatohepatitis (MASH) is a severe liver disease characterized by lipid accumulation, inflammation and fibrosis. The development of MASH therapies has been hindered by the lack of human translational models a
Externí odkaz:
https://doaj.org/article/301d911e0438465c82f3a5065d2932a9
Current approaches for classification of whole slide images (WSI) in digital pathology predominantly utilize a two-stage learning pipeline. The first stage identifies areas of interest (e.g. tumor tissue), while the second stage processes cropped til
Externí odkaz:
http://arxiv.org/abs/2207.00095
Autor:
Carolin Schneider, Jorina Hilbert, Franziska Genevaux, Stefanie Höfer, Lukas Krauß, Felix Schicktanz, Constanza Tapia Contreras, Shaishavi Jansari, Aristeidis Papargyriou, Thorsten Richter, Abdallah M. Alfayomy, Chiara Falcomatà, Christian Schneeweis, Felix Orben, Ruppert Öllinger, Florian Wegwitz, Angela Boshnakovska, Peter Rehling, Denise Müller, Philipp Ströbel, Volker Ellenrieder, Lena Conradi, Elisabeth Hessmann, Michael Ghadimi, Marian Grade, Matthias Wirth, Katja Steiger, Roland Rad, Bernhard Kuster, Wolfgang Sippl, Maximilian Reichert, Dieter Saur, Günter Schneider
Publikováno v:
Advanced Science, Vol 11, Iss 31, Pp n/a-n/a (2024)
Abstract Cancer cells must develop strategies to adapt to the dynamically changing stresses caused by intrinsic or extrinsic processes, or therapeutic agents. Metabolic adaptability is crucial to mitigate such challenges. Considering metabolism as a
Externí odkaz:
https://doaj.org/article/74f891ee4bb3409e8f62d1958c65fda1
We apply the TrOCR framework to real-world, historical manuscripts and show that TrOCR per se is a strong model, ideal for transfer learning. TrOCR has been trained on English only, but it can adapt to other languages that use the Latin alphabet fair
Externí odkaz:
http://arxiv.org/abs/2203.11008