Id:cfde_registry_dcc:ai-readi
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Description:The NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) program will propel biomedical research forward by setting the stage for widespread adoption of artificial intelligence (AI) that tackles complex biomedical challenges beyond human intuition. A key step in this process is generating new “flagship” data sets and best practices for machine learning analysis. Machine learning is a type of Artificial Intelligence (AI) that provides machines (like computers) the ability to automatically learn and improve from experience, without being explicitly programmed. The biomedical research community generates a wealth of data, but most of these data are not suitable for machine learning because they are incomplete. By bringing technological and biomedical experts together with social scientists and humanists, the Bridge2AI program will help bring solutions to this deficit.
Dcc Name:Artificial Intelligence Ready and Exploratory Atlas for Diabetes Insights
Dcc Description:The AI-READI project (NIH Bridge2AI Salutogenesis Grand Challenge) seeks to create and share a flagship dataset of type 2 diabetes, optimized for future artificial intelligence/machine learning (AI/ML) analysis that could provide critical insights and especially shine light on the salutogenic pathways from diabetes to return to health.
Dcc Abbreviation:aireadi
Contact Name:Aaron Lee