Wiley AI agent to launch on Amazon
Wiley has announced a collaboration with Amazon Web Services (AWS) to launch a generative AI agent for scientific literature search on AWS.
The first of its kind from a publisher on AWS, the AI agent will be unveiled at the 7th annual AWS Life Sciences Symposium in New York City today, May 6. The AI agent will demonstrate how researchers can conduct comprehensive full-text scientific literature search across Wiley’s extensive journal content, moving beyond traditional abstract-only searches to access detailed content within main sections like methods and results.
The new literature search agent is available as part of an open source toolkit for healthcare and life sciences agents that has been assembled by AWS. Wiley says the toolkit offers a catalog of starter agents and a framework for organisations to build and customise their agentic systems, supporting use cases from biomarker discovery to clinical trial protocol generation.
The new AI agent currently includes AI searchable access to articles under the creative commons license, such as Cancer Medicine, delivering reliable and cited insights in minutes rather than the current hours- to days-long manual process of discovering and perusing dozens of articles for relevant information.
“Our collaboration with AWS demonstrates how researchers can access and leverage scientific literature to power more effective discovery across the life sciences sector,” said Josh Jarrett, SVP and GM of AI Growth for Wiley. “By integrating Wiley’s authoritative full-text content into AWS’s technology built on Bedrock Agents, we’re showcasing the potential of comprehensive literature search to accelerate innovation and bring critical scientific insights directly into researchers’ existing workflows.”
“We’re excited to work with Wiley to explore how AI-powered agents can enrich evidence-based research with dynamic, detailed, and verifiable scientific content,” said Dan Sheeran, General Manager, Healthcare and Life Sciences, AWS. “The cure for cancer isn’t going to come from an abstract, but will be derived from researchers interrogating and synthesising internal and external data. This collaboration demonstrates how customised AI agents with trusted information sources like Wiley’s research content can enable life sciences researchers to build these more powerful and informed discovery systems.”
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