A research team from the Cancer Science Institute of Singapore at the National University of Singapore has successfully harnessed artificial intelligence and deep-learning techniques to model atomic-level RNA 3D structures from primary RNA sequences. Called DRfold, this novel AI-based method improves the accuracy of RNA models by more than 70 percent, compared to traditional approaches.