CAS, a division of the American Chemical Society that focuses on scientific knowledge management, has announced full functionality for CAS IP Finder™, powered by STN™. CAS STNext® customers are now able to use the complete intellectual property search solution across all supported search methods, expanded content collections, and advanced analysis tools.
The volume of patents continues to increase, and scientific disciplines are becoming more interconnected, which has made intellectual property research more complex and increased the risk of missing prior art.
Organizations have traditionally selected either comprehensive tools for specialized searchers or limited tools for broader teams. CAS IP Finder addresses this situation by offering flexible access points that connect users with varying levels of experience to curated content and precise search tools.
CAS IP Finder continues to provide access to more than 100 scientific, patent, and non-patent literature databases that have formed the foundation of STN for decades. Users are now able to search these databases without using command-line knowledge while retaining the level of precision required by intellectual property professionals.
New capabilities include:
● A query builder designed to support high-quality searches without traditional learning curves.
● Proprietary AI-enhanced exploratory search that analyzes text using machine learning and natural language processing.
● Expanded life sciences content embedded to support intellectual property professionals working with complex datasets.
● Interactive visualization tools used to explore patterns within large datasets.
● Reporting features that include customizable keyword highlighting and formatting options.
The proprietary exploratory search analyzes text input to identify relevant patents and non-patent documents, detects key terms, and suggests refinements to improve relevance without requiring specialized syntax knowledge.
Patent examiners have adopted this approach because it provides insights not available through conventional search methods.
The solution also supports pharmaceutical and biotechnology research use cases. The CAS Bioactivity file, curated by CAS scientists, contains normalized structure-activity relationships, ADME, and toxicity data structured to support patent research workflows. This approach enables researchers to identify critical information that can be difficult to locate through conventional methods, helping reduce risk in drug discovery and development.
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