scholarly journals DataScope: Interactive visual exploratory dashboards for large multidimensional data

2018 ◽  
Author(s):  
Ganesh R Iyer ◽  
Sapoonjyoti Duttaduwarah ◽  
Ashish Sharma
Keyword(s):  
Clinical Trials ◽  
System Design ◽  
Case Studies ◽  
Large Scale ◽  
Cancer Registries ◽  
Multidimensional Data ◽  
Web Based ◽  
Design Considerations ◽  
Multidimensional Datasets ◽  
Downstream Analysis

DataScope is a web-based tool for generating interactive visual dashboards on large scale multidimensional datasets. Users can use these dashboards to explore data and create cohorts for downstream analysis. We describe DataScope's architecture, design considerations and provide an overview of its system design. We highlight some of DataScope's features that were useful in the case studies using datasets from cancer registries and co-clinical trials. In benchmarks DataScope is able to perform sub-second queries on data sizes ranging from thousand to million records.

scholarly journals DataScope: Interactive visual exploratory dashboards for large multidimensional data

2018 ◽  
Author(s):  
Ganesh R Iyer ◽  
Sapoonjyoti Duttaduwarah ◽  
Ashish Sharma
Keyword(s):  
Clinical Trials ◽  
System Design ◽  
Case Studies ◽  
Large Scale ◽  
Cancer Registries ◽  
Multidimensional Data ◽  
Web Based ◽  
Design Considerations ◽  
Multidimensional Datasets ◽  
Downstream Analysis

DataScope is a web-based tool for generating interactive visual dashboards on large scale multidimensional datasets. Users can use these dashboards to explore data and create cohorts for downstream analysis. We describe DataScope's architecture, design considerations and provide an overview of its system design. We highlight some of DataScope's features that were useful in the case studies using datasets from cancer registries and co-clinical trials. In benchmarks DataScope is able to perform sub-second queries on data sizes ranging from thousand to million records.

scholarly journals An Interactive Data Visualization Framework for Exploring Geospatial Environmental Datasets and Model Predictions

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2928
Author(s):  
Jeffrey D. Walker ◽  
Benjamin H. Letcher ◽  
Kirk D. Rodgers ◽  
Clint C. Muhlfeld ◽  
Vincent S. D’Angelo
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Data Visualization ◽  
Large Scale ◽  
Research Management ◽  
Web Based ◽  
Environmental Models ◽  
Potential Benefits ◽  
Interactive Data ◽  
Data Visualizations

With the rise of large-scale environmental models comes new challenges for how we best utilize this information in research, management and decision making. Interactive data visualizations can make large and complex datasets easier to access and explore, which can lead to knowledge discovery, hypothesis formation and improved understanding. Here, we present a web-based interactive data visualization framework, the Interactive Catchment Explorer (ICE), for exploring environmental datasets and model outputs. Using a client-based architecture, the ICE framework provides a highly interactive user experience for discovering spatial patterns, evaluating relationships between variables and identifying specific locations using multivariate criteria. Through a series of case studies, we demonstrate the application of the ICE framework to datasets and models associated with three separate research projects covering different regions in North America. From these case studies, we provide specific examples of the broader impacts that tools like these can have, including fostering discussion and collaboration among stakeholders and playing a central role in the iterative process of data collection, analysis and decision making. Overall, the ICE framework demonstrates the potential benefits and impacts of using web-based interactive data visualization tools to place environmental datasets and model outputs directly into the hands of stakeholders, managers, decision makers and other researchers.

Randomized trial of a web-based intervention to address barriers to clinical trials.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 6500-6500 ◽  
Author(s):  
Neal J. Meropol ◽  
Terrance Lynn Albrecht ◽  
Yu-Ning Wong ◽  
Al Bowen Benson ◽  
Joanne S. Buzaglo ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Decision Making ◽  
Clinical Trials ◽  
Randomized Trial ◽  
Large Scale ◽  
College Education ◽  
Phase Iii ◽  
Post Intervention ◽  
Web Based ◽  
Attitudinal Barriers

6500 Background: Cancer patients (pts) have knowledge and attitudinal barriers to participation in clinical trials (CT). We developed PRE-ACT (Preparatory Education About Clinical Trials), a tailored, interactive, web-based intervention to address these barriers and improve preparation for consideration of CT as a treatment option. Methods: We conducted a prospective, randomized, multicenter, phase III clinical trial of PRE-ACT vs. control (general text about CT excerpted from NCI materials). All assessments and interventions were conducted online. Cancer pts >18 years old were enrolled before initial oncologist consultation. Pts completed a baseline assessment including CT knowledge (19-item); CT attitudes (28-item); preparation for decision making (10-item); and validated measures of preferences for shared decision making and quality/length of life. PRE-ACT pts received a summary of their preferences and a list of their top CT barriers. Based on ranking of individual barriers, pts were presented with a video library of 30-90 second clips addressing their top barriers (10 maximum). After the educational intervention a follow up survey reassessed CT barriers and preparation. Results: 1255 pts were randomized; median age 59 (range 20-88); 58% female; 12% non-white / 2% Hispanic; 76.4% some college education. 1081 pts completed baseline and post-intervention assessments. The control and PRE-ACT groups both had improved knowledge, reduced attitudinal barriers, and improved preparation (p<.0001 for all comparisons). PRE-ACT was more effective than control in improving knowledge (p=.0006) and attitudes (p<.0001). Furthermore, pts in the PRE-ACT arm were more satisfied with the amount (p=.002) and format (<.0001) of information, and felt more prepared to consider CT (p=.0003). Conclusions: This large-scale randomized trial of a tailored, web-based, video intervention demonstrates that educational information delivered online before the oncologist visit can significantly reduce knowledge barriers and attitudinal barriers and improve preparation for consideration of clinical trials. Both text and PRE-ACT are effective, with greater improvements and satisfaction in the PRE-ACT group. Clinical trial information: NCT00750009.

scholarly journals BtToxin_Digger: a comprehensive and high-throughput pipeline for mining toxin protein genes from Bacillus thuringiensis

2020 ◽  
Author(s):  
Hualin Liu ◽  
Jinshui Zheng ◽  
Dexin Bo ◽  
Yun Yu ◽  
Weixing Ye ◽  
...  
Keyword(s):  
Bacillus Thuringiensis ◽  
High Throughput ◽  
Large Scale ◽  
Web Based ◽  
Bt Toxin ◽  
Link Type ◽  
Toxin Genes ◽  
Toxin Protein ◽  
Mining Tool ◽  
Downstream Analysis

SummaryBacillus thuringiensis (Bt) which is a spore-forming gram-positive bacterium, has been used as the most successful microbial pesticide for decades. Its toxin genes (cry) have been successfully used for the development of GM crops against pests. We have previously developed a web-based insecticidal gene mining tool BtToxin_scanner, which has been proved to be the most important method for mining cry genes from Bt genome sequences. To facilitate efficiently mining major toxin genes and novel virulence factors from large-scale Bt genomic data, we re-design this tool with a new workflow. Here we present BtToxin_Digger, a comprehensive, high-throughput, and easy-to-use Bt toxin mining tool. It runs fast and can get rich, accurate, and useful results for downstream analysis and experiment designs. Moreover, it can also be used to mine other targeting genes from large-scale genome and metagenome data with the addition of other query sequences.Availability and ImplementationThe BtToxin_Digger codes and instructions are freely available at https://github.com/BMBGenomics/BtToxin_Digger. A web server of BtToxin_Digger can be found at http://bcam.hzau.edu.cn/[email protected]; [email protected].

Using Web-based Testing for Large-Scale Assessment

2013 ◽  
Author(s):  
Laura S. Hamilton ◽  
Stephen P. Klein ◽  
William Lorie
Keyword(s):  
Large Scale ◽  
Web Based ◽  
Large Scale Assessment ◽  
Scale Assessment

Impact of COVID-19 on Nuclear Medicine in Germany, Austria and Switzerland: An International Survey in April 2020

2020 ◽  
Vol 59 (04) ◽  
pp. 294-299 ◽  
Author(s):  
Lutz S. Freudenberg ◽  
Ulf Dittmer ◽  
Ken Herrmann
Keyword(s):  
Nuclear Medicine ◽  
Health Systems ◽  
Personal Protective Equipment ◽  
Large Scale ◽  
Diagnostic Procedures ◽  
Protective Equipment ◽  
Current Crisis ◽  
Web Based ◽  
Public Versus Private ◽  
The Impact

Abstract Introduction Preparations of health systems to accommodate large number of severely ill COVID-19 patients in March/April 2020 has a significant impact on nuclear medicine departments. Materials and Methods A web-based questionnaire was designed to differentiate the impact of the pandemic on inpatient and outpatient nuclear medicine operations and on public versus private health systems, respectively. Questions were addressing the following issues: impact on nuclear medicine diagnostics and therapy, use of recommendations, personal protective equipment, and organizational adaptations. The survey was available for 6 days and closed on April 20, 2020. Results 113 complete responses were recorded. Nearly all participants (97 %) report a decline of nuclear medicine diagnostic procedures. The mean reduction in the last three weeks for PET/CT, scintigraphies of bone, myocardium, lung thyroid, sentinel lymph-node are –14.4 %, –47.2 %, –47.5 %, –40.7 %, –58.4 %, and –25.2 % respectively. Furthermore, 76 % of the participants report a reduction in therapies especially for benign thyroid disease (-41.8 %) and radiosynoviorthesis (–53.8 %) while tumor therapies remained mainly stable. 48 % of the participants report a shortage of personal protective equipment. Conclusions Nuclear medicine services are notably reduced 3 weeks after the SARS-CoV-2 pandemic reached Germany, Austria and Switzerland on a large scale. We must be aware that the current crisis will also have a significant economic impact on the healthcare system. As the survey cannot adapt to daily dynamic changes in priorities, it serves as a first snapshot requiring follow-up studies and comparisons with other countries and regions.

Ongoing randomized clinical trials for the treatment of thrombosis in the antiphospholipid syndrome

2001 ◽  
Vol 21 (02) ◽  
pp. 77-81 ◽  
Author(s):  
G. Finazzi
Keyword(s):  
Clinical Trials ◽  
Large Scale ◽  
Low Dose ◽  
Randomized Clinical Trials ◽  
Oral Anticoagulants ◽  
Collaborative Study ◽  
Clinical Problem ◽  
Vascular Events ◽  
Dose Oral ◽  
Adverse Pregnancy

SummaryThrombotic events are a major clinical problem for patients with antiphospholipid antibodies (APA). However, current recommendations for their prevention and treatment are still based on retrospective studies. Data from large scale, prospective clinical trials are required to ultimately identify the optimal management of these patients. To date, at least four randomized studies are underway. The WAPS and PAPRE clinical trials are aimed to establish the correct duration and intensity of oral anticoagulation in APA patients with major arterial or venous thrombosis. The WARSS-APASS is a collaborative study to evaluate the efficacy and safety of aspirin or low-dose oral anticoagulants in preventing the recurrence of ischemic stroke. The recently announced UK Trial compares low-dose aspirin with or without low-intensity anticoagulation for the primary prevention of vascular events in APA-positive patients with SLE or adverse pregnancy history, but still thrombosis-free. It is hoped that the results of these trials will be available soon since clinicians urgently need more powerful data to treat their patients with the APA syndrome.

PTSD Treatment Research: An Overview and Evaluation

2020 ◽  
Author(s):  
Paula P. Schnurr ◽  
Jessica L. Hamblen
Keyword(s):  
Clinical Trials ◽  
Treatment Outcome ◽  
Controlled Trials ◽  
Comorbid Conditions ◽  
Design Elements ◽  
Ptsd Treatment ◽  
Design Considerations ◽  
Randomized Controlled ◽  
Key Concepts ◽  
Treatment Research

This chapter provides an overview of key concepts in designing and evaluating clinical trials, with a focus on randomized controlled trials for PTSD. The first section discusses design elements and how they influence the conclusions that can be drawn from a study. Examples from the trauma literature are provided when available to illustrate concepts. The second section explores newer developments in PTSD treatment trials. Specifically, it discusses treatment and design considerations related to common comorbid conditions of PTSD, adapting treatments for low-resource environments and optimizing treatment outcome. The chapter’s goal is to improve the ability of both clinicians and researchers to critically review PTSD clinical trials.

scholarly journals Age impairs mnemonic discrimination of objects more than scenes: A web-based, large-scale approach across the lifespan

Cortex ◽  
2021 ◽  
Vol 137 ◽  
pp. 138-148
Author(s):  
Jeremie Güsten ◽  
Gabriel Ziegler ◽  
Emrah Düzel ◽  
David Berron
Keyword(s):  
Large Scale ◽  
Web Based
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