Bayesian Machine Learning Model Guiding Iterative, Personalized Anticoagulant Dosing Decision-Making

Adele represents a state-of-the-art Bayesian framework, using clinical factors and PK data, to enable longitudinally adaptive, patient-centric, preference-weighted predictions.