Access to the world's biomedical data is critical, yet it remains disorganized, difficult to work with, and getting it to 'usable' can feel impossible.
And advanced natural language processing (NLP) and natural language understanding (NLU) technologies, that seek out relevant evidence and build connections.
Who run our AI's findings through a series of checks and balances to ensure our knowledge is accurate, up-to-date, and meticulously organized.
We draw from and link our data to all reliable external datasets, such as MedDRa, RxNorm, ontologies, etc.
Linked data flows back into the knowledgebase
Advanced Natural Language Processing and Data Synthesis
Our AI rapidly sorts source materials, builds connections, and structures data. Drawing from resources such as publications, monographs, clinical trials, etc.
Our AI continuously analyzes our knowledge to build new connections and form novel insights.
New connections and insights flow back into the knowledgebase.
Our team reviews and veriﬁes our AI's output.
This ensures only structured and expert-verified knowledge is filtered into the knowledgebase.
Machine learning-ready datasets that help researchers, drug developers, and pharma experts get to market faster.
These plug-and-play API modules make it easy for anyone building apps or software to enhance clinical decision support.
This free-to-use website equips academics, non-commercial researchers, and the public with reliable drug knowledge.
We're the most comprehensive biomedical
knowledgebase on the market. Have Questions?