NCATS launched the Biomedical Data Translator program as a multiyear, iterative effort toward the eventual development of a comprehensive, relational, N-dimensional “data translator” that integrates multiple types of existing data sources. These sources may include objective signs and symptoms of disease, drug effects, and intervening types of biological data relevant to understanding pathophysiology. The Translator could enable a significant shift from the current symptom-based diagnosis of disease classification to one that is based on a set of molecular and cellular abnormalities that can be targeted by various preventative and therapeutic interventions.
The Translator program is funded through the Cures Acceleration Network (CAN). CAN is designed to advance the development of high-need cures and reduce significant barriers between research discovery and clinical trials. Learn more about the Biomedical Data Translator program.