The Biomedical data Translator

The Biomedical data Translator

User engagement and impact

The Biomedical Data Translator project (NIH/NCATS) seeks to revolutionize disease biology understanding by developing a robust and interpretable machine learning framework that translates complex biomedical data into actionable insights. In a federated and distributed framework, the platform makes recommendations of biological mechanisms involved in diseases to researchers from different disciplines. In this project we aim at improving the answer quality suggested by AI models by recruiting specialists in the field, running a series of experiments and collecting data on their answers. Our use cases workflow will help build coherent, unbiased benchmarks for model training and evaluation while promoting usage of the plateform within our communities.