Abstract: An apparatus for predicting an outcome of a patient includes a processor, and a memory storing computer executable instructions, which when executed by the processor cause the processor to perform operations comprising obtaining patient kinematic data of the patient; deriving one or more patient kinematic features from the patient kinematic data; and determining the outcome based on the one or more patient kinematic features and at least one additional data element of the patient using an outcome model trained on a training set of kinematic features of the same type as the patient kinematic features and the at least one additional data element.

Abstract: Devices and methods are disclosed for use and processing of patient geolocation data in order to objectively determine a patient's territory as an artificially created digital biomarker while maintaining locational privacy. The objective determination of a patient's territory, defined as the area traversed in a specific time interval, can be used as a measurement of quality of life, as well as socio-economic contribution and benefit. Devices and methods are also disclosed for creating an artificial Overall Territory Activity Digital Biomarker based on Patient Activity Factors in addition to the Patient Territory Digital Biomarker, and which Overall Territory Activity Digital Biomarker also maintains locational data privacy. Furthermore, devices and methods are disclosed for capturing and transmitting digital biospecimens, the transformed geolocation data used to determine the Patient Territory Digital Biomarker.