Institution
University of Freiburg
Education•Freiburg, Baden-Württemberg, Germany•
About: University of Freiburg is a education organization based out in Freiburg, Baden-Württemberg, Germany. It is known for research contribution in the topics: Population & Transplantation. The organization has 41992 authors who have published 77296 publications receiving 2896269 citations. The organization is also known as: alberto-ludoviciana & Albert-Ludwigs-Universität Freiburg.
Topics: Population, Transplantation, Gene, Large Hadron Collider, Medicine
Papers published on a yearly basis
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University of Ottawa1, University of Modena and Reggio Emilia2, Mario Negri Institute for Pharmacological Research3, Ottawa Hospital Research Institute4, University of Oxford5, University of Freiburg6, Veterans Health Administration7, Johnson & Johnson8, Johnson & Johnson Pharmaceutical Research and Development9, McMaster University10, University of Birmingham11, Johns Hopkins University12, University of Bern13, University of Copenhagen14, Medical Research Council15, GlaxoSmithKline16, University of California, San Francisco17, FHI 36018, Cochrane Collaboration19
TL;DR: Provide a structured summary including, as applicable, background, objectives, data sources, study eligibility criteria, participants, interventions, study appraisal and synthesis methods, results, limitations, conclusions and implications of key findings, systematic review registration number 2.
Abstract: Provide a structured summary including, as applicable, background, objectives, data sources, study eligibility criteria, participants, interventions, study appraisal and synthesis methods, results, limitations, conclusions and implications of key findings, systematic review registration number 2 Structured summary
3,655 citations
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01 Jan 2015TL;DR: It is found that max-pooling can simply be replaced by a convolutional layer with increased stride without loss in accuracy on several image recognition benchmarks.
Abstract: Most modern convolutional neural networks (CNNs) used for object recognition are built using the same principles: Alternating convolution and max-pooling layers followed by a small number of fully connected layers. We re-evaluate the state of the art for object recognition from small images with convolutional networks, questioning the necessity of different components in the pipeline. We find that max-pooling can simply be replaced by a convolutional layer with increased stride without loss in accuracy on several image recognition benchmarks. Following this finding -- and building on other recent work for finding simple network structures -- we propose a new architecture that consists solely of convolutional layers and yields competitive or state of the art performance on several object recognition datasets (CIFAR-10, CIFAR-100, ImageNet). To analyze the network we introduce a new variant of the "deconvolution approach" for visualizing features learned by CNNs, which can be applied to a broader range of network structures than existing approaches.
3,601 citations
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TL;DR: In dual whole-cell voltage recordings from pyramidal neurons, the coincidence of post Synaptic action potentials and unitary excitatory postsynaptic potentials was found to induce changes in EPSPs.
Abstract: Activity-driven modifications in synaptic connections between neurons in the neocortex may occur during development and learning In dual whole-cell voltage recordings from pyramidal neurons, the coincidence of postsynaptic action potentials (APs) and unitary excitatory postsynaptic potentials (EPSPs) was found to induce changes in EPSPs Their average amplitudes were differentially up- or down-regulated, depending on the precise timing of postsynaptic APs relative to EPSPs These observations suggest that APs propagating back into dendrites serve to modify single active synaptic connections, depending on the pattern of electrical activity in the pre- and postsynaptic neurons
3,591 citations
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TL;DR: In patients with type 2 diabetes who were at high cardiovascular risk, the rate of cardiovascular death, nonfatal myocardial infarction, orNonfatal stroke was significantly lower among patients receiving semaglutide than among those receiving placebo, an outcome that confirmed the noninferiority of semag lutide.
Abstract: BackgroundRegulatory guidance specifies the need to establish cardiovascular safety of new diabetes therapies in patients with type 2 diabetes in order to rule out excess cardiovascular risk. The cardiovascular effects of semaglutide, a glucagon-like peptide 1 analogue with an extended half-life of approximately 1 week, in type 2 diabetes are unknown. MethodsWe randomly assigned 3297 patients with type 2 diabetes who were on a standard-care regimen to receive once-weekly semaglutide (0.5 mg or 1.0 mg) or placebo for 104 weeks. The primary composite outcome was the first occurrence of cardiovascular death, nonfatal myocardial infarction, or nonfatal stroke. We hypothesized that semaglutide would be noninferior to placebo for the primary outcome. The noninferiority margin was 1.8 for the upper boundary of the 95% confidence interval of the hazard ratio. ResultsAt baseline, 2735 of the patients (83.0%) had established cardiovascular disease, chronic kidney disease, or both. The primary outcome occurred in 10...
3,551 citations
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French Institute of Health and Medical Research1, Hospital Research Foundation2, University of Freiburg3, Medical Research Council4, Utrecht University5, Harvard University6, Pasteur Institute7, Babraham Institute8, University of Paris9, Curie Institute10, National Institutes of Health11, University of Sydney12, Ludwig Maximilian University of Munich13, LSU Health Sciences Center New Orleans14
TL;DR: Retrovirus vector insertion can trigger deregulated premalignant cell proliferation with unexpected frequency, most likely driven by retrovirus enhancer activity on the LMO2 gene promoter.
Abstract: We have previously shown correction of X-linked severe combined immunodeficiency [SCID-X1, also known as gamma chain (gamma(c)) deficiency] in 9 out of 10 patients by retrovirus-mediated gamma(c) gene transfer into autologous CD34 bone marrow cells. However, almost 3 years after gene therapy, uncontrolled exponential clonal proliferation of mature T cells (with gammadelta+ or alphabeta+ T cell receptors) has occurred in the two youngest patients. Both patients' clones showed retrovirus vector integration in proximity to the LMO2 proto-oncogene promoter, leading to aberrant transcription and expression of LMO2. Thus, retrovirus vector insertion can trigger deregulated premalignant cell proliferation with unexpected frequency, most likely driven by retrovirus enhancer activity on the LMO2 gene promoter.
3,514 citations
Authors
Showing all 42309 results
Name | H-index | Papers | Citations |
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Mark Hallett | 186 | 1170 | 123741 |
Tadamitsu Kishimoto | 181 | 1067 | 130860 |
Anders Björklund | 165 | 769 | 84268 |
Si Xie | 148 | 1575 | 120243 |
Kypros H. Nicolaides | 147 | 1302 | 87091 |
Peter J. Schwartz | 147 | 647 | 107695 |
Michael E. Phelps | 144 | 637 | 77797 |
Martin Erdmann | 144 | 1562 | 100470 |
Holger J. Schünemann | 141 | 810 | 113169 |
Maksym Titov | 139 | 1573 | 128335 |
Karl Jakobs | 138 | 1379 | 97670 |
Annette Peters | 138 | 1114 | 101640 |
Suman Bala Beri | 137 | 1608 | 104798 |
Bert Sakmann | 137 | 283 | 90979 |
Vipin Bhatnagar | 137 | 1756 | 104163 |