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Cleveland Clinic and IBM Leverage AI to Revolutionize Drug Discovery for Pain Management
In drug development, it isn’t easy to learn molecular representation from chemical structures since traditional molecular representation techniques, such as sequence-based and graph-based approaches, have limits in extracting useful vectors due to their extensive domain knowledge. Inspired by deep learning technologies based on images and computer vision, researchers have developed a self-supervised framework for learning…

