Errors in causal diagrams elicited from experts can lead to the omission of important confounding variables from adjustment sets and render causal inferences invalid. In this report, a novel method is ...

Root-cause analysis is core to problem-solving across many fields. From hospitals searching for patient safety issues to ...

LONDON--(BUSINESS WIRE)--causaLens, the London deep tech company and pioneer of Causal AI, today announced the launch of decisionOS, the first operating system using cause-and-effect reasoning for all ...

Joint efforts kick off with DREAM Challenge that allows scientists to compute on NIH’s Covid data in a privacy-enhancing environment and experience an unprecedented level of transparency in generative ...

LONDON--(BUSINESS WIRE)--Today, causaLens, the London-based AI scale-up and causal AI pioneer, launched its groundbreaking AI agent platform for decision-making at the Causal AI Conference. causaLens' ...