Accelerate your AI-powered healthcare solutions with Cochrane Library's trusted evidence base. Cochrane delivers rigorously reviewed, expert-curated content, including the Cochrane Database of Systematic Reviews, and Cochrane Clinical Answers for actionable insights. This authoritative collection spans global health topics, available in structured, machine-readable formats enriched with metadata, ideal for training and optimizing AI models. Whether you're enhancing literature review, improving clinical decision support, Cochrane's evidence ensures transparency, relevance, and impact. Contact us via Request private offer to connect with a Wiley representative to learn how Cochrane's trusted, peer-reviewed evidence can power your enterprise AI initiatives.
Clinical decisions can't wait, and regulatory standards keep rising. Yet many AI models struggle with incomplete or outdated evidence due to limited access to trusted, full text clinical content. That's why leading healthcare innovators rely on Cochrane Library's globally recognized evidence base to power AI solutions.
Our peer-reviewed content spans the entire continuum of care, from prevention and diagnosis to treatment and rehabilitation, supporting every stage of clinical decision making. With structured metadata and validated research protocols, your AI can deliver evidence based recommendations, optimize treatment pathways, and strengthen compliance.
When patient outcomes depend on your technology, your AI deserves the most rigorous, unbiased foundation available. Here's why Cochrane Library is the trusted foundation for evidence based healthcare and AI innovation: Unmatched quality and credibility: Every systematic review and clinical answer in the Cochrane Library is curated by leading healthcare experts using stringent methods, that are globally recognized for delivering trusted and reliable results. The content undergoes a meticulous peer review process, ensuring that only the most reliable and up-to-date evidence is available for decision making.
Independent and free from bias: The Cochrane Library does not accept funding from commercial sources, which helps eliminate conflicts of interest and ensures that the evidence presented is independent and free from external influence.
Transparent and reproducible methodology: Reviews and clinical answers are produced using transparent, validated research protocols. This means that the methods and data sources are openly documented, allowing others to scrutinize and reproduce the findings, further reducing the risk of bias.
Comprehensive coverage and regular updates: The Cochrane Library offers thousands of systematic reviews and clinical evidence spanning the entire spectrum of healthcare, from prevention and diagnosis to treatment and rehabilitation. This breadth ensures you will receive trusted insights for virtually any clinical scenario, including supporting clinical trial design and regulatory submission.
Empowering clinical decision-making: With structured metadata and validated research protocols, the Cochrane Library enables AI-powered solutions and clinical decision support agents to deliver authoritative, evidence-based recommendations. Clinicians and healthcare teams can confidently rely on Cochrane content to inform patient care, improve outcomes, and support regulatory compliance. Seamless integration and real-time updates: Cochrane Library content is delivered in machine-readable, metadata-rich formats,
compatible with AWS Bedrock and accessible via secure API endpoints. This allows organizations to integrate the latest evidence directly into their digital environments, ensuring that clinical decision-making is always based on the most current research.
Compliance and responsible innovation: Audit-ready content from the Cochrane Library supports regulatory alignment, protects intellectual property, and enables transparent, responsible innovation. Organizations can eliminate the risks associated with unlicensed or scraped data, knowing their AI and clinical tools are built on a foundation of trusted evidence. Maximize your investment: Utilize your existing AWS commitment to access the Cochrane Library's rich evidence base, without the need for additional budget. This empowers you to build advanced, content-rich AI solutions that accelerate scientific discovery and enhance healthcare delivery.
Key use cases include:
Literature search and summarization: rapidly surface, extract, and synthesize insights, guidelines and treatment protocols.
Clinical trial design: optimize trial protocols using comprehensive, up-to-date research.
Clinician training: Provide personalized, evidence-backed briefs to keep healthcare professionals current and engaged.
Clinical Use Cases:
(A) Clinical decision support for evidence-based care
(B) Patient risk stratification and preventive strategies
(C) Diagnostic support for complex cases
(D) Treatment optimization based on comparative effectiveness
The Cochrane Library is more than a database, it's a foundation for credible, impactful clinical decisions and innovative healthcare solutions.
Highlights
Expert insights: Access a vast collection of systematic reviews and clinical evidence, curated by leading healthcare experts and published in collaboration with Cochrane, including the Cochrane Database of Systematic Reviews and Cochrane Clinical Answers.
Maximize your AWS investment: Utilize your annual AWS commitment spend, without the need for additional budget, to build trusted, content-rich AI solutions that advance healthcare discovery and delivery.
Accelerate your AI agent development through seamless, secure delivery: Receive the latest machine-readable, metadata-rich, AWS Bedrock-compatible embedded content over real-time API endpoints that integrate directly into your AWS environment, reducing integration effort while leveraging powerful AWS infrastructure, AI tools, and ecosystem to streamline innovation and agent development. The Cochrane Library's content is refreshed as new evidence is published.
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Top-of-mind questions for buyers
What does one billing unit represent for this knowledge base product?
The listing bills in units, but the public unit price is a placeholder, not the actual rate. The real unit definition and price come through a private offer. To learn exactly what one unit maps to, request a private offer and a Wiley representative will explain within two business days.
Is this a usage-based product or a fixed commitment?
This is a contract-based product, not pay-as-you-go. You agree to terms through a private offer rather than metering usage hour by hour. The listed price is not the actual price. Final terms, including how units are counted and billed, are set during the private offer process.
What content does this knowledge base give AI agents access to?
It connects agents to evidence-based medical and research content from the Cochrane Library, part of Wiley's trusted scientific resources. Wiley describes this as validated content supporting research and healthcare decisions. Specific coverage and access scope are confirmed through your private offer discussion.
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API-Based Agents and Tools integrate through standard web protocols. Your applications can make API calls to access agent capabilities and receive responses.
Additional details
Usage instructions
API
Article Search API Documentation
Getting Started
Authentication
All API requests require authentication using an API key in the header:
x-api-key: YOUR_API_KEY
Replace YOUR_API_KEY with your actual API key.
Base URL (URL will be provided upon subscription to Marketplace offer)
<https://aws-ai.wiley.com/>
Rate Limiting
This API is rate-limited. Exceeding the limit will result in a 429 status code.
Endpoints
Search Articles
Retrieve articles based on a natural language question.
Endpoint: GET /articles
Request
curl -X GET "https://aws-ai.wiley.com/articles?question=What+is+machine+learning" \
-H "x-api-key: test-api-key-12345-abcdef-67890"
Parameters
Parameter
Type
Required
Description
question
string
Yes
The question or search query for articles
Response
Success Response (200 OK)
Returns an array of article objects with metadata.
With download entitlements:
[
{
"text": "Machine learning is a method of data analysis that automates analytical model building...",
"wol_link": "https://onlinelibrary.wiley.com/doi/full/10.1002/example",
"article_link": "https://aws-ai.wiley.com/download/123e4567-e89b-12d3-a456-426614174000"
}
]
Without download entitlements:
[
{
"text": "Machine learning is a method of data analysis that automates analytical model building...",
"wol_link": "https://onlinelibrary.wiley.com/doi/full/10.1002/example"
}
]
Response Fields
Field
Type
Description
text
string
Article summary or excerpt
wol_link
string
Link to the full article on Wiley Online Library
article_link
string
(Optional) Direct download link (only if entitled)
Error Responses
Status Code
Description
400
Bad Request - Missing or invalid question parameter
401
Unauthorized - Missing or invalid API key
429
Too Many Requests - Rate limit exceeded
500
Internal Server Error
Download Article
Download the full content of an article using its unique identifier.
Endpoint: GET /download/{uuid}
Request
curl -X GET "https://aws-ai.wiley.com/download/123e4567-e89b-12d3-a456-426614174000" \
-H "x-api-key: test-api-key-12345-abcdef-67890"
Path Parameters
Parameter
Type
Required
Description
uuid
string
Yes
The unique identifier for the article
Response
Success Response (200 OK)
Returns the full article content as HTML.
Error Responses
Status Code
Description
401
Unauthorized - Missing or invalid API key
404
Not Found - Article UUID not found
429
Too Many Requests - Rate limit exceeded
500
Internal Server Error
Error Handling
All error responses follow this format:
{
"error": {
"code": "INVALID_API_KEY",
"message": "The provided API key is invalid or missing"
}
}
Support
Vendor support
Customers of Wiley Agent Knowledge Base: Life Sciences will have access to individualized support from a dedicated contact on Wiley's Technical Delivery and Customer Success Management teams. For any support inquiries, please contact ResearchSuccess@wiley.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Improve the efficiency, authority, and relevance of your Life Sciences agents with Wiley's Life Sciences Agent Knowledge Base, that incorporates full text, peer reviewed, expert curated corpus spanning the entire drug development pipeline. Our full corpus of trusted content, including over 800k articles from 300+ journals, are available in structured, machine readable, and metadata enriched format, delivered through a seamless and secure API endpoint. Our authoritative content will support you to maximize return on your AI investment, whether you are using AI to accelerate literature review and drug discovery, improve clinical trial outcomes, boost sales and marketing, or transform clinician knowledge delivery. Contact us via Request private offer to connect with a Wiley Sales representative and learn how our trusted, peer-reviewed content can accelerate your enterprise AI initiatives.
"This dataset contains the all data for the LEarning biOchemical Prostate cAncer Recurrence from histopathology sliDes challenge or LEOPARD.Prostate cancer, impacting 1.4 million men annually, is a prevalent malignancy (H. Sung et al., 2021). A substantial number of these individuals undergo prostatectomy as the primary curative treatment. The efficacy of this surgery is assessed, in part, by monitoring the concentration of prostate-specific antigen (PSA) in the bloodstream. While the role of PSA in prostate cancer screening is debatable (W. F. Clark et al., 2018; E. A. M. Heijnsdijk et al., 2018), it serves as a valuable biomarker for postprostatectomy follow-up in patients. Following successful surgery, PSA concentration is typically undetectable (<0[...]
The Unified Forecast System (UFS) is a community-based, coupled, comprehensive Earth modeling system. It supports "multiple applications" covering different forecast durations and spatial domains. The Land Data Assimilation (DA) System is an offline version of the Noah Multi-Physics (Noah-MP) land surface model (LSM) used in the UFS Weather Model (WM). Its data assimilation framework uses "Joint Effort for Data assimilation Integration - JEDI" software. The offline Noah-MP LSM is a stand-alone, uncoupled model used to execute land surface simulations. In this traditional uncoupled mode, near-surface atmospheric forcing data is required as input. Sample forcing and restart data are provided in this data bucket. The Noah-MP LSM has evolved through community efforts to pursue and refine a modern-era LSM suitable for use in the National Centers for Environmental Prediction (NCEP) ope[...]
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