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8,285
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ShareScore release 0.9.0
Dataset results
8,285 results for “cardiac;”
The De-novo Use of Eculizumab in Presensitized Patients Receiving Cardiac Transplantation
ClinicalTrials.gov study NCT02013037. IPD Sharing: YES. Countries: 1. Publications: 14.
Short-term Atorvastatin's Effect on Acute Kidney Injury Following Cardiac Surgery
ClinicalTrials.gov study NCT00791648. IPD Sharing: YES. Countries: 1. Publications: 3.
Efficacy and Safety of Deferasirox in Combination With Deferoxamine Followed by Deferasirox Monotherapy in Severe Cardiac Iron Overload
ClinicalTrials.gov study NCT01254227. IPD Sharing: YES. Countries: 8. Publications: 1.
Family-Authored ICU Diaries to Reduce Fear in Patients Experiencing a Cardiac Arrest (FAID Fear)
ClinicalTrials.gov study NCT05144477. IPD Sharing: NO. Countries: 1. Publications: 9.
Edoxaban for Prevention of Blood Vessels Being Blocked by Clots (Thrombotic Events) in Children at Risk Because of Cardiac Disease
ClinicalTrials.gov study NCT03395639. IPD Sharing: YES. Countries: 14. Publications: 1.
Impact of a Corrie Cardiac Rehabilitation Program
ClinicalTrials.gov study NCT05238103. IPD Sharing: YES. Countries: 1. Publications: 1.
Veteran Peer Coaches Optimizing and Advancing Cardiac Health
ClinicalTrials.gov study NCT02697422. IPD Sharing: YES. Countries: 1. Publications: 3.
Active Preoperative Anemia Management in Patients Undergoing Cardiac Surgery
ClinicalTrials.gov study NCT02189889. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
I-CARE: International Cardiac Arrest REsearch consortium electroencephalography database - Brain Continuity Index
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FibroTUG platforms: Time-lapse microscopy dataset of engineered cardiac microbundles
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Computational simulations show proof-of-concept for optogenetic suppression of ectopic activity in cardiac stem cell therapy
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Engineered cardiac microbundle time-lapse microscopy image dataset
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Data from: Maximum cardiac performance of Antarctic fishes that lack haemoglobin and myoglobin: exploring the effect of warming on nature’s natural knockouts
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Strain gauge platforms: Time-lapse microscopy dataset of engineered cardiac microbundles
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Data from: In vitro to in vivo extrapolation from three-dimensional hiPSC-derived cardiac microtissues and physiologically based pharmacokinetic modeling to inform next-generation arrythmia risk assessment
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Computationally-informed point of departure evaluation for proarrhythmic cardiotoxicity assessment using 3D engineered cardiac microtissues from human iPSC-derived cardiomyocytes
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Patient-reported outcomes predict return to work and health-related quality of life 6 months after cardiac rehabilitation: Results from a German multi-centre registry (OutCaRe): dataset
<p>This is the resulting data set from the prospective observational study (available cases at the time of follow up monitoring) OutCaRe, that is the basis of all results presented in the article "Patient-reported outcomes predict return to work and health-related quality of life 6 months after cardiac rehabilitation: Results from a German multi-centre registry (OutCaRe)".</p> <p>OutCaRe is a registered study (https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00011418).</p>
Data from: Paradoxical aortic stiffening and subsequent cardiac dysfunction in Hutchinson–Gilford progeria syndrome
<p>Hutchinson–Gilford progeria syndrome (HGPS) is an ultra-rare disorder with devastating sequelae resulting in early death, presently thought to stem primarily from cardiovascular events. We analyse novel longitudinal cardiovascular data from a mouse model of HGPS (<i>Lmna<sup>G609G/G609G</sup></i>) using allometric scaling, biomechanical phenotyping, and advanced computational modelling and show that late-stage diastolic dysfunction, with preserved systolic function, emerges with an increase in the pulse wave velocity and an associated loss of aortic function, independent of sex. Specifically, there is a dramatic late-stage loss of smooth muscle function and cells and an excessive accumulation of proteoglycans along the aorta, which result in a loss of biomechanical function (contractility and elastic energy storage) and a marked structural stiffening despite a distinctly low intrinsic material stiffness that is consistent with the lack of functional lamin A. Importantly, the vascular function appears to arise normally from the low-stress environment of development, only to succumb progressively to pressure-related effects of the lamin A mutation and become extreme in the peri-morbid period. Because the dramatic life-threatening aortic phenotype manifests during the last third of life there may be a therapeutic window in maturity that could alleviate concerns with therapies administered during early periods of arterial development.</p>
Genetic algorithm-based personalized models of human cardiac action potential
<p>We present a novel modification of genetic algorithm (GA) which determines personalized parameters of cardiomyocyte electrophysiology model based on set of experimental human action potential (AP) recorded at different heart rates. In order to find the steady state solution, the optimized algorithm performs simultaneous search in the parametric and slow variables spaces. We demonstrate that several GA modifications are required for effective convergence. Firstly, we used a mutation operator, based on Cauchy amplitude distribution along with a random direction in the parametric space. Secondly, relatively large number of elite organisms (6-10 % of the population passed on to new generation) was required for effective convergence. Test runs with synthetic AP as input data indicate that algorithm error is low for high amplitude ionic currents (1.6±1.6% for IKr, 3.2±3.5% for IK1, 3.9±3.5% for INa, 8.2±6.3% for ICaL). Experimental signal-to-noise ratio above 28 dB was required for high quality GA performance. GA was validated against optical mapping recordings of human ventricular AP and mRNA expression profile of donor hearts. In particular, GA output parameters were rescaled proportionally to mRNA levels ratio between patients. We have demonstrated that mRNA-based models predict the AP waveform dependence on heart rate with high precision. The latter also provides a novel technique of model personalization that makes it possible to map gene expression profile to cardiac function. </p>
B1+ and SSFP imaging cardiac MRI data for all subjects
<p>This dataset contains all B<sub>1</sub><sup>+</sup> maps and SSFP imaging data measured invivo for all subjects as outlined in the publication "Extended RF shimming: Sequence level parallel transmission optimization applied to steady state free precession MRI of the heart" to be published in the journal <em>NMR in Biomedicine</em>.</p> <p>All B<sub>1</sub><sup>+</sup> maps can be used as input in the code available in the GitHub repository found at https://github.com/mriphysics/cardiac_RF_shimming</p> <p> </p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.