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638 results for “Thrombosis”
Measuring platelet function: new strategies for precision medicine to prevent thrombosis - Prof Jon Gibbins (University of Reading)
<p>This video is the third talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022.</p> <p>Measuring platelet function: new strategies for precision medicine to prevent thrombosis - Prof Jon Gibbins (University of Reading).</p> <p>Bio: Jon Gibbins is Professor of Cell Biology within the School of Biological Sciences at the University and is Director of the Institute for Cardiovascular and Metabolic Research. He is a graduate of the University, obtaining a degree in Pathobiology with Chemistry in 1991 and a PhD in Molecular Endocrinology in 1995. Following a period of postdoctoral research at the Oxford University, he returned to Reading in 1998 as a lecturer. Jon has established an internationally leading research group that studies blood clotting, with a particular focus on the development of more effective clinical strategies for the prevention and treatment of heart attacks and strokes, and thrombosis associated with infection. Jon values greatly working in an active, engaging and successful school, in which all aspects of biology are represented, and he champions cross-disciplinary working to approach today’s most challenging and pressing questions in new ways. He believes strongly in widening participation and improving levels of equity, diversity and inclusion across our institution.</p> <p>Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/</p> <p>This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1</p> <p>YouTube Link: https://youtu.be/8vJZ_WO-dvk</p>
Bayesian network analysis of plasma microRNA sequencing data in patients with venous thrombosis
<p>This dataset contains the results of 2 related analyses, described in "Bayesian network analysis of plasma microRNA sequencing data in patients with venous thrombosis" (European Heart Journal Supplements, OUP). Link to the article: https://www.hal.inserm.fr/inserm-02310241</p> <p>1) In the directory "miRNAs_MARTHA_GWAS" : GWAS summary statistics for 162 circulating miRNAs in 344 VTE patients from the MARTHA cohort.</p> <p>Header for each summary file:</p> <p>Trait: miRNA id<br> chr: Chromosome<br> pos.hg19: Position of the variant in hg19/GRCh37 coordinates<br> SNP: rsid<br> A1: Reference allele on the forward strand<br> A2: Alternate allele on the forward strand<br> freq_A1: Frequency of reference allele<br> rsqr: Imputation quality defined by MACH<br> beta_A1: Estimated effect size (beta regression coefficient) of reference allele<br> se_A1: Estimated standard error of beta<br> p: p-value (significance of estimated beta)<br> z.score: Z-score</p> <p> </p> <p>2) In the directory "meta_analysis": Random effect meta-analysis combining the results of our GWAS on the MARTHA cohort, and the results from a similar analysis conducted by Nikpay et al. (doi: 10.1093/cvr/cvz030). Summary statistics of 142 microRNAs, common to both datasets, were processed (and combine 1054 samples).</p> <p>Header for each summary file:</p> <p>chr: Chromosome<br> pos.hg19: Position of the variant in hg19/GRCh37 coordinates<br> SNP: rsid<br> A1: Reference allele on the forward strand<br> A2: Alternate allele on the forward strand<br> N: Sample size<br> Q: Cochran's heterogeneity statistic<br> Q.p: p-value of Cochran's Q<br> beta_A1: Estimated effect size (beta regression coefficient) of reference allele<br> se_A1: Estimated standard error of beta<br> p: p-value (significance of estimated beta)</p> <p> </p>
Datasets corresponding to "Real-time intelligent classification of COVID-19 and thrombosis via massive image-based analysis of platelet aggregates"
<p>Datasets corresponding to "Real-time intelligent classification of COVID-19 and thrombosis via massive image-based analysis of platelet aggregates"</p> <p> </p> <p>Please find below an explanation for the <strong>files </strong>in this repository:</p> <p><br> <br> <strong>DiseaseClassifPaper_Dataset_01.7z, DiseaseClassifPaper_Dataset_02.7z</strong></p> <p>Experimental data. To reproduce the analyses, unzip both files and put the content into a folder called "Dataset"</p> <p><strong>02_CNN_PhenotypeClassif.7z</strong></p> <p>CNN Phenotype classification. Model was trained using AIDeveloper. using manually labelled data. Labelled Data is contained in folder "03_GatedData". The AIDeveloper session file in "02_Model\M10_Nitta6l_32pix_8class_meta.xlsx" shows, which files correspond to which subpopulation. The final model "M10_Nitta6l_32pix_8class_448.model" and corresponding .pb files are also located in that folder.</p> <p><strong>03_ExampleMeasurement.zip</strong></p> <p>One measurement file and a corresponding scatterplot</p> <p><strong>04_Dataset_load.zip</strong></p> <p>The python script "03_ExtractFeatures.py" loads the list of available experiment files (01_Dataset_Table_v02.csv). The experiment files are contained in DiseaseClassifPaper_Dataset_01.7z, DiseaseClassifPaper_Dataset_02.7z. The scrip then evaluates each experiment file to obtain distribution parameters for Area and Solidity. These values are written to new "01_Dataset_Table_v03.csv".</p> <p><strong>05_RF_training</strong></p> <p>Scripts to train and evaluate the Random Forest model (using features contained in "01_Dataset_Table_v03.csv").</p> <p><strong>07_pytranskit</strong></p> <p>Scripts for training and evaluating CDT-PLDA classifier</p> <p> </p> <p> </p>
SCD Use to Prevent Deep Venous Thrombosis (DVT) in Patients With PICC Lines
ClinicalTrials.gov study NCT01670188. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Assess Incidence of Deep Vein Thrombosis(DVT)Following Administration of Recombinant Human Antithrombin (rhAT) to Hereditary Antithrombin(AT) Deficient Patients in High Risk Situations.
ClinicalTrials.gov study NCT00056550. IPD Sharing: Not stated. Countries: 6. Publications: 1.
Rivaroxaban With Diosmin in Long-term Treatment of Deep Vein Thrombosis
ClinicalTrials.gov study NCT03413618. IPD Sharing: NO. Countries: 1. Publications: 1.
EINSTEIN Junior Phase II: Oral Rivaroxaban in Young Children With Venous Thrombosis
ClinicalTrials.gov study NCT02309411. IPD Sharing: Not stated. Countries: 15. Publications: 1.
COVID-19 Thrombosis Prevention Trials: Post-hospital Thromboprophylaxis
ClinicalTrials.gov study NCT04650087. IPD Sharing: NO. Countries: 1. Publications: 2.
Ticagrelor Antiplatelet Therapy to Reduce Graft Events and Thrombosis
ClinicalTrials.gov study NCT02053909. IPD Sharing: Not stated. Countries: 2. Publications: 1.
Oral Direct Factor Xa Inhibitor Rivaroxaban in Patients With Acute Symptomatic Deep Vein Thrombosis - The EINSTEIN DVT Study
ClinicalTrials.gov study NCT00440193. IPD Sharing: Not stated. Countries: 34. Publications: 15.
A Clinical Trial Comparing Efficacy and Safety of Dabigatran Etexilate With Warfarin in Patients With Cerebral Venous and Dural Sinus Thrombosis (RE-SPECT CVT)
ClinicalTrials.gov study NCT02913326. IPD Sharing: Not stated. Countries: 9. Publications: 4.
Acute Venous Thrombosis: Thrombus Removal With Adjunctive Catheter-Directed Thrombolysis
ClinicalTrials.gov study NCT00790335. IPD Sharing: Not stated. Countries: 1. Publications: 14.
Deep Vein Thrombosis (DVT) Prevention in Total Hip Arthroplasty: Continuous Enhanced Circulation Therapy (CECT) Versus Low Molecular Weight Heparin (LMWH)
ClinicalTrials.gov study NCT00358735. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Comparison of Daytime Surgery in Varicose Veins Patients With and Without Superficial Venous Thrombosis
ClinicalTrials.gov study NCT05380895. IPD Sharing: NO. Countries: 1. Publications: 1.
Study of an Investigational Drug for the Prevention of Thrombosis-related Events Following Hip Replacement Surgery (ADVANCE-3)
ClinicalTrials.gov study NCT00423319. IPD Sharing: Not stated. Countries: 21. Publications: 3.
Vascular Boot Warming Program After Acute Deep Vein Thrombosis (DVT) ± Pulmonary Embolism (PE)
ClinicalTrials.gov study NCT03465735. IPD Sharing: NO. Countries: 1. Publications: 17.
The Treatment of Acute Deep Vein Thrombosis (DVT) of GSK576428 (Fondaparinux Sodium) in Japanese Patients
ClinicalTrials.gov study NCT00911157. IPD Sharing: YES. Countries: 1. Publications: 1.
Heparin and the Reduction of Thrombosis (HART) Trial
ClinicalTrials.gov study NCT00779558. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Innohep® in Elderly Patients With Impaired Renal Function Treated for Acute Deep Vein Thrombosis
ClinicalTrials.gov study NCT00277394. IPD Sharing: NO. Countries: 9. Publications: 1.
Study of an Investigational Drug for the Prevention of Thrombosis-related Events Following Knee Replacement Surgery
ClinicalTrials.gov study NCT00452530. IPD Sharing: Not stated. Countries: 27. Publications: 3.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.