Sold by: John Snow Labs
Deployed on AWS
This data package contains datasets on clinical trials conducted worldwide. Currently, this data package contains datasets on the International Stroke Trial (IST) conducted on individual patients with acute stroke and respiratory syncytial virus (RSV) disease in early infants.
Overview
Overview
This data package contains the International Stroke Trial database and the replication data for respiratory syncytial virus (RSV) disease. The International Stroke Trial (IST) is one of the largest randomized trials ever conducted on individual patients in acute stroke. The respiratory syncytial virus (RSV) disease database contains replication data for the absence of an association between cord specific antibody levels and severe respiratory syncytial virus (RSV) disease in early infants from a case-control study from coastal Kenya.
License Information
The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the Data Library on AWS. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes.
Metadata
| Description | Value |
|---|---|
| Data Package Complexity | Simple |
| Available Enrichments | N/A |
| Keywords | Stroke, Clinical Trials, Randomized Controlled Trials (RCTs), Clinical Trial on Stroke, RCT on Stroke, Acute Stroke, Respiratory Syncytial Virus (RSV) Disease, RSV Study, RSV Clinical Trial, RSV Disease in Early Infants |
| Other Titles | Replication Data for Absence of Association between Cord Specific Antibody Levels and Severe Respiratory Syncytial Virus (RSV) Disease in Early Infants, A Case-Control Study from Coastal Kenya, Respiratory Syncytial Virus (RSV) Disease Study in Kenya |
Included Datasets
- International Stroke Trial Database
The International Stroke Trial (IST) dataset includes data on 19,435 patients and 112 variables. For each randomized patient, data were extracted on the variables assessed at randomization, at the early outcome point, and at 6-months. This dataset provides a source of primary data and is available for public use for the conduct of secondary analyses and in the planning of future trials particularly in older patients and in resource-poor settings given the age distribution of the dataset.
- Respiratory Syncytial Virus Disease
This dataset provides replication data for the absence of the association between cord specific antibody levels and severe respiratory syncytial virus (RSV) disease in early infants from a case-control study from coastal Kenya.
Data Engineering Overview
We deliver high-quality data
- Each dataset goes through 3 levels of quality review
- 2 Manual reviews are done by domain experts
- Then, an automated set of 60+ validations enforces every datum matches metadata & defined constraints
- Data is normalized into one unified type system
- All dates, unites, codes, currencies look the same
- All null values are normalized to the same value
- All dataset and field names are SQL and Hive compliant
- Data and Metadata
- Data is available in both CSV and Apache Parquet format, optimized for high read performance on distributed Hadoop, Spark & MPP clusters
- Metadata is provided in the open Frictionless Data standard, and its every field is normalized & validated
- Data Updates
- Data updates support replace-on-update: outdated foreign keys are deprecated, not deleted
Our data is curated and enriched by domain experts
Each dataset is manually curated by our team of doctors, pharmacists, public health & medical billing experts:
- Field names, descriptions, and normalized values are chosen by people who actually understand their meaning
- Healthcare & life science experts add categories, search keywords, descriptions and more to each dataset
- Both manual and automated data enrichment supported for clinical codes, providers, drugs, and geo-locations
- The data is always kept up to date – even when the source requires manual effort to get updates
- Support for data subscribers is provided directly by the domain experts who curated the data sets
- Every data source’s license is manually verified to allow for royalty-free commercial use and redistribution.
Need Help?
- If you have questions about our products, contact us at info@johnsnowlabs.com .
About Us
John Snow Labs , an AI and NLP for healthcare company, provides state-of-the-art software, models, and data to help healthcare and life science organizations build, deploy, and operate AI projects.
Details
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimensions summary
This listing uses a single pricing dimension called Product Access (Units), and it is free to subscribe. There are no tiers, instance sizes, or usage-based add-ons to choose between. You subscribe once to gain access to the product at no charge. Because only one dimension exists, pricing does not scale with usage, seats, or capacity. The product supports healthcare AI tasks tied to clinical trial data, delivered under this single access model.
Top-of-mind questions for buyers
Subscribing grants you access to the product at no charge. There is one access dimension, so you are not billed per user, per host, or per volume of data processed. A single subscription unlocks product access under this free model.
No. This listing has one free access dimension with no usage-based metering. Cost does not scale with data volume, number of documents, seats, or capacity. There are no tiers or included-amount thresholds that could trigger a charge as your usage grows.
The product supports healthcare AI work tied to clinical trial data, including extracting and structuring information from clinical text. These capabilities are delivered under the single free access dimension. For details on specific supported functions, contact the vendor.
www.johnsnowlabs.com
Helpful?
Vendor refund policy
No refunds offered. For any questions email us at info@johnsnowlabs.com
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Resources
Vendor resources
Similar products
PwC accelerates the way pharmaceutical companies improve and streamline clinical trial protocol design decisions with AI-enabled insights and intelligent automation.
CTWise Regulatory Rules API delivers instant, programmatic access to FDA CFR Title 21, ICH Guidelines (E6 GCP, E8, E9), EMA regulations, and WHO guidance. Unlike document-based solutions, query specific rule citations in milliseconds via REST API. 500+ regulatory rules covering 21 CFR Part 11, GCP compliance, informed consent, and IRB oversight with semantic search and version tracking. Ideal for pharmaceutical R&D, CROs, and clinical operations teams building compliant protocols. Transparent pricing: Free 14-day trial (1,000 API calls), Starter $99/month (10,000 calls).
A first-of-its-kind cloud-native orchestration engine explicitly built for automated, secure file transfer across hybrid and distributed IT estates. Easily design, manage and scale essential file workflows using advanced no-code tools built for modern IT.
Interested in leveraging AI and LLMs to effectively search, find and understand information from a custom pool of data? In our complimentary demo session, our AI specialists will show you how Clementine, our chatbot specialized on AWS documentation, leverages open source foundation models to provide up-to-date, accurate and relevant information, and how you can use this as a blueprint to create your own secure chatbot, personalized to your specific documentation.