Abstract: Provided are a model construction method and apparatus, a device, and a medium. The method includes the following: a physiological model structure for describing a drug in vivo process is established according to physiological prior knowledge and anatomical prior knowledge (S110); for each organism in a preset organism set, a physiological parameter, an anatomical parameter, and drug in vivo behavior data after the organism uses a specific drug are acquired as sample data (S120); and a pre-created original prediction model is trained based on the sample data and the physiological model structure to obtain a corresponding target prediction model (S130).

Abstract: Provided are a data processing method, an electronic device, and a storage medium. The method includes the following: The physiological feature data of a target object under at least one physiological indicator is acquired; a data processing type corresponding to the physiological feature data is determined, and a target network model corresponding to the data processing type is invoked; and the physiological feature data is processed based on the target network model to obtain target physiological feature data.