RT @Jianmin4drugai: GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction | Journal of the Americ…
From trial and error to precision predictions: GraphSynergy, is a new deep learning model, that may provide more accurate predictions on the effectiveness of anticancer drug combinations based on their network interactions. #deeplearning #anticancer
RT @Jianmin4drugai: GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction | Journal of the Americ…
RT @DrugAI_plus: GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction https://t.co/gZUtjBqF1M
GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction https://t.co/gZUtjBqF1M
GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction | Journal of the American Medical Informatics Association | Oxford Academic https://t.co/IVTm6xvlWU
How to create a perfect drug combination that can treat #cancer? #AI can help! Read more about a #deepleanring model developed by Qingpeng Zhang’s team at @CityUHongKong in an article in @OUPAcademic ➡️ https://t.co/ZaoKrMPHf9
GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction @AMIAinformatics #networkmedicine #networkscience #precisionmedicine @CityUHongKong https://t.co/qUCNUL9k6A
GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction https://t.co/4XzWgpHToi