The National Institutes of Health announced a coordinated effort with the Department of Energy, Biohub and other partners to develop data and resources for artificial intelligence models that predict biological responses to disease and potential treatments.
The Bio Genesis Mission will integrate existing biomedical datasets, national data infrastructure and research programs to create resources formatted for use in advanced AI systems, NIH said.
Developing predictive biological models requires enormous amounts of high-quality data showing how cells respond to interventions across different cell types and conditions, according to NIH. The agency said it will leverage investments in biomedical research, including resources from the National Library of Medicine and the National Center for Biotechnology Information.
"By combining resources and expertise, we can accelerate the development of universal cell models with sufficient biological complexity to predict how any cell responds to an intervention," said Nicole Kleinstreuer, NIH Deputy Director for Program Coordination, Planning, and Strategic Initiatives.
These predictive models could help scientists explore biological questions computationally, identify promising drug targets and interventions, and accelerate the translation of biomedical discoveries into medical treatments, according to NIH.