81 to 90 of 117 Results
Sep 21, 2023 - Division of Infectious Disease and Tropical Medicine
FIND, Geneva, Switzerland, 2023, "Diagnostic performance of host protein signatures as a triage test for active pulmonary TB [data]", https://doi.org/10.11588/data/CYYNBA, heiDATA, V1
The current four symptom screen recommended by the WHO is widely used as screen to initiate diagnostic testing for active pulmonary tuberculosis (TB), yet the performance is poor especially when TB prevalence is low. In contrast, more sensitive molecular tests are less suitable f... |
Apr 30, 2024 - Kaessmann Lab
Zaremba, Bastienne; Fallahshahroudi, Amir; Schneider, Céline; Schmidt, Julia; Sarropoulos, Ioannis; Leushkin, Evgeny; Berki, Bianka; Van Poucke, Enya; Jensen, Per; Senovilla-Ganzo, Rodrigo; Hervas-Sotomayor, Francisca; Trost, Nils; Lamanna, Francesco; Sepp, Mari; García-Moreno, Fernando; Kaessmann, Henrik, 2024, "Developmental origins and evolution of pallial cell types and structures in birds - Data", https://doi.org/10.11588/data/BX6REK, heiDATA, V1, UNF:6:4DNo7hOUtj/vCfSrVp37wA== [fileUNF]
The advanced cognitive abilities of birds rival those of mammals and have been attributed to evolutionary innovations in the pallium. However, a comprehensive cellular characterization of this brain region in birds has been lacking. We scrutinized the structures, cell types and e... |
Oct 16, 2014 - Theoretical Physics
Jerabek, Hansjörg; Tark-Dame, Mariliis; Manders, Erik M. M.; Heermann, Dieter W.; van Driel, Roel, 2014, "Depletion of the chromatin looping proteins CTCF and cohesin causes chromatin compaction [Dataset]", https://doi.org/10.11588/data/10028, heiDATA, V4
Simulations using an advanced version of the Dynamic Loop model were performed to investigate the mechanisms responsible for the experimental finding that the reduction of the chromatin looping proteins CTCF and cohesin leads to chromatin compaction. |
Mar 2, 2023 - AG Computational Diagnostic
Kriegsmann, Katharina; Lobers, Fritjof; Zgorzelski, Christiane; Kriegsmann, Jörg; Meliß, Rolf Rüdiger; Sack, Ulrich; Steinbuss,Georg; Kriegsmann,Mark, 2023, "Deep learning for the detection of anatomical tissue structures and neoplasms of the skin on scanned histopathological tissue sections [data]", https://doi.org/10.11588/data/7QCR8S, heiDATA, V1
Basal cell carcinoma (BCC), squamous cell carcinoma (SqCC) and melanoma are among the most common cancer types. Correct diagnosis based on histological evaluation after biopsy or excision is paramount for adequate therapy stratification. Deep learning on histological slides has b... |
Feb 6, 2019 - Computer Assisted Clinical Medicine
Zöllner, Frank; Lietzmann, Florian; Attenberger, Ulrike; Haneder, Stefan; Michaely, Henrik; Schad, Lothar, 2019, "DCE-MRI of the human kidney using BLADE: A feasibility study in healthy volunteers [Dataset]", https://doi.org/10.11588/data/5RSAM3, heiDATA, V1
To evaluate the degree of motion compensation in the kidney using two different sampling methods, each in their optimized settings: A BLADE k-space acquisition technique and a routinely used kidney perfusion acquisition scheme (TurboFLASH). Dynamic contrast enhanced magnetic reso... |
Sep 27, 2019 - Medical Informatics
Seitz, Max W.; Listl, Stefan; Bartols, Andreas; Schubert, Ingrid; Blaschke, Katja; Haux, Christian; van der Zande, Marieke M., 2019, "Current knowledge on correlations between highly prevalent dental conditions and chronic diseases: an umbrella review [Dataset]", https://doi.org/10.11588/data/ORTPJN, heiDATA, V1
Introduction: There are existing studies investigating relationships between chronic systemic and dental conditions, but it remains unclear how such knowledge can be used in clinical practice. The present report provides an overview on existing systematic reviews, identifying and... |
Jan 26, 2019 - Computer Assisted Clinical Medicine
Gaa, Tanja; Neumann, Wiebke; Sudarski, Sonja; Attenberger, Ulrike I.; Schönberg, Stefan O.; Schad, Lothar R.; Zöllner, Frank G., 2017, "Comparison of perfusion models for quantitative T1 weighted DCE-MRI of rectal cancer [Dataset]", https://doi.org/10.11588/data/NULJJR, heiDATA, V2
Twenty-six patients with newly diagnosed rectal carcinoma underwent 3T MRI of the pelvis including a T1 weighted dynamic contrast enhanced (DCE) protocol before treatment. For eighteen patients, mean values for Plasma Flow (PF), Plasma Volume (PV) and Mean Transit Time (MTT) were... |
Rennekamp, Benedikt; Gräter, Frauke, 2023, "Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data]", https://doi.org/10.11588/data/HJ6SVM, heiDATA, V1, UNF:6:Da6omTKjrSvNcDwyJxuHOg== [fileUNF]
This dataset contains input files for MD simulations, derived breakage counts from these simulations that are used to generate the figures in the publication, and the experimental, uncropped SDS-PAGE gels of the presented results in the related publication. Abstract of related pu... |
Renz, Malika Pia; Zidda, Francesca; Andoh, Jamila; Prager, Marcel; Sack, Markus; Becker, Robert; Ruf, Matthias; Schmitgen, Mike M.; Wolf, Robert C.; Meyer-Lindenberg, Andreas; Tost, Heike, 2023, "Code and Workflow for Checking Image Arrival Times in fMRI Neurofeedback Experiments", https://doi.org/10.11588/data/AIGXZZ, heiDATA, V1
Dataset containing SOP & code for replicating measurements of image arrival times in an fMRI setup. |
Feb 6, 2023 - Forschungsgruppe AG Nikendei
Nowak, Jonathan; Rollmann, Ivo; Kindermann, David; Nikendei, Christoph, 2023, "Characterization of different types of anxiety disorders according to level of personality functioning and self-reported adverse and positive childhood experiences in a sample of psychotherapy outpatients [Analysis]", https://doi.org/10.11588/data/W63LJJ, heiDATA, V1
This dataset contains the code for the analysis in R which was used to calculate the results for the study 'Characterization of different types of anxiety disorders according to level of personality functioning and self-reported adverse and positive childhood experiences in a sam... |
