Abstract: A computer implemented method for monitoring biometric data from a non-human subject is disclosed. The method includes receiving data a from a device, the device comprising one or more sensors and one or more microneedles structurally configured to contact interstitial fluid of a non-human subject’s ear, wherein the data is indicative of one or more constituents within the interstitial fluid. The method also includes processing the data from the device to determine the one or more constituents within the interstitial fluid. The method further includes, based at least in part on the determined one or more constituents within the interstitial fluid and historic data from the device, determining one or more conditions of the non-human subject. The method additionally includes providing an indication of the one or more determined conditions of the non-human subject.

Abstract: A computer implemented method for identifying a condition is disclosed. The method includes receiving movement data associated with the movement of a subject over a configurable period of time. The method also includes associating the received movement data with a profile of the subject, the profile comprising anatomical data of the subject. The method additionally includes applying a machine learning algorithm to the received movement data and the profile. The method further includes determining, via the machine learning algorithm and based at least in part on the received movement data and the anatomical data of the subject, a likelihood of a mobility disorder.