The Assertional Metadata (AMD) contained within our Safety Intelligence Program (SIP) represents the largest ever-expanding collection of known effects of chemicals occurring in the different tissue, drugs effects on clinical biomarkers of tissue injury and drug molecular mechanisms.

The System currently contains almost 300,000 individual ’stated’ assertions relating to hepatic, cardiac and other bio-system responses, induced by over 20,000 different compounds in over 20 different species. These assertions distill the observations and conclusions made across more than 19 million documents and database records, including regulatory documents, drug labels, pre-clinical and clinical research journals.

Using our AMD creation platform Sofia (link) and underlying Key Concept Metadata (KCM), we can automatically ‘read’ millions of documents. AMD is presented in a semantically normalised format which dramatically improves the pace and efficiency of analysis. Although millions of documents are read automatically, a task which would take hundreds of highly trained experts many months to achieve, we are able with rigorous quality control by PhD level scientists to deliver over 97% accuracy.

Tags: AMD, Assertional Metadata, liver intelligence module, safety, Safety Intelligence Program, SIP

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