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Finding the right dose of medication by trial and error can be a painful experience for patients who are already suffering because of their disease. Artificial intelligence can greatly accelerate this process thanks to a new algorithm created by Adrien Coulet, lecturer at the Université de Lorraine and researcher in a joint Inria and Loria team, in collaboration with researchers from Stanford University. By analyzing patients' digital data, this innovative tool can predict in advance whether patients will need a lower dose of medication thus reducing the suffering caused by side effects. This result was published in Nature Scientific Reports.