Identifying plausible targets/mechanisms behind adverse events

This is a product-capability walkthrough for Clarivate's OFF-X Translatability Dashboard, illustrated with an anaphylactoid reaction observed in rats during a preclinical safety study. The page describes how the tool can help researchers identify plausible mechanisms behind such unexpected toxicities, supporting risk assessment and informing chemical-design changes to mitigate the risk. This landing page itself is thin -- it summarizes the capability and prompts visitors to download the full case study for the detailed findings, which are not present on the page itself.

The customer is anonymised in Clarivate’s own case study — not withheld by us.

Clarivate owns Cortellis, the curated competitive-intelligence and pipeline-tracking platform standard in pharma portfolio-management teams.

This sits in the Data Providers stage of the AI use-case lifecycle: Named examples from the real-world-data, claims and competitive-intelligence providers pharma AI systems are trained on, benchmarked against, or run inside of.