Researchers identified over 8,000 causal relationships between diseases using scientific literature and real-world patient ...

The rigorous data analysis is captured in causal graphs that can be reliably used in high-quality, regulatory-grade life science. Ultimately, causal AI makes GenAI more trustworthy and compliant ...

At the heart of Alembic’s breakthrough is a new type of graph neural network that acts as a causal reasoning engine. This AI brain ingests data from a wide range of enterprise systems ...

DAGs are diagrams used to represent causal questions. They serve as a visual aid to summarize assumptions about causal and non-causal associations between a given exposure and an outcome. DAGs are ...