Wiley has announced a new collaboration with Amazon Web Services (AWS) to introduce a generative AI agent designed for scientific literature search. Set to debut at the 7th annual AWS Life Sciences Symposium in New York City on May 6, this initiative marks the first deployment of such an AI agent by a publisher on the AWS platform.
The AI agent enables researchers to perform full-text searches across Wiley’s journal content, offering access to in-depth sections such as methods and results, rather than limiting discovery to abstracts alone. The tool is intended to support life sciences research workflows by facilitating more comprehensive and precise literature searches.
Developed as part of an open-source toolkit curated by AWS, the agent is included in a broader catalog of starter agents and orchestration frameworks designed to help organizations develop customized AI-driven systems. These systems are aimed at accelerating use cases ranging from biomarker identification to the generation of clinical trial protocols. The Wiley agent currently offers AI-accessible content from Creative Commons-licensed journals, including Cancer Medicine, enabling the retrieval of verified insights within minutes, in contrast to the time-intensive manual process of reviewing numerous publications.
The collaboration integrates Wiley’s full-text research materials with AWS’s Bedrock Agents technology, allowing researchers to incorporate high-quality scientific evidence into automated discovery tools. This approach is positioned to enhance the role of verifiable content in supporting evidence-based research across the life sciences sector.
Wiley emphasized that the development reflects its broader commitment to responsible AI innovation, underscored by principles of human oversight, transparency, attribution, fairness, and governance. AWS noted that access to authoritative and structured research content is critical to enabling researchers to synthesize meaningful insights from complex datasets, and that collaborations of this nature represent a path forward for scientific discovery in health and medicine.
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