A variety of data sources, including Biomedical Literature, Clinicaltrials.gov and several side effect databases are machine-read and integrated in the Causaly Knowledge Graph. Customers can integrate their own content to benefit from evidence in existing knowledge information systems. All evidence is represented as a cause-effect network operating in a Graph database, and can be queried and explored through a defined REST API.
Causaly has developed AI technology that can understand cause and effect evidence in natural language and join it into directional causal graphs. The system understands the document context and linguistic expression to extract Event Causality.Learn more →
Causaly, the provider of a unique evidence - based research platform for Biomedical Cause & Effect discovery, has developed a proprietary technology for understanding Natural Language as published in biomedical literature.Get the Datasheet →
MEDLINE™ and PubMed Central™ are part of the Causaly platform. Also, through Partnerships with publishers, we have added additional premium content to the platform.
We machine-read abstracts and, when available, full text academic publications. Currently more than 2 million publications are full text, and the rest are abstracts.
No, at this moment we focus exclusively on insights from Natural Language.
Causaly is an evidence-based research platform. We surface the evidence, prequalify it and present it to our users for review. The final decision on the credibility and value of evidence lies with the user.
Yes, we have integrated several curated 3rd party databases. New data sources are continuously being added to the platform.
Yes. We take the security of our users’ data very seriously and have taken precautions to secure our platform and user data.