Abstract: The present disclosure relates to techniques for using machine-learning models to predict an animal health result from laboratory test monitoring. Particularly, aspects are directed to obtaining sets of data for a plurality of animal subjects over a time period. The sets of data include clinical observation data, body weight measurement data, outcome status data, or any combination thereof. The sets of data are processed into a training set of numerical values. A machine-learning model is trained on the training set to predict whether health of an animal subject is normal, veterinary attention for the animal subject is likely required in an upcoming time period, or an unplanned death outcome for the animal subject is likely in an upcoming time period. The machine-learning model is output.

Abstract: An example automated product locker is described herein. The automated product locker can include a housing and a drawer configured to be slidably stowable within the housing. The drawer can define a storage area configured to receive a product. The automated product locker can include a plurality of visual indicators configured to indicate respective positions of respective units of the product within the storage area, and a machine vision system configured to capture information about the product. The machine vision system can include an optical device. Additionally, the automated product locker can include a controller operably coupled to the machine vision system. The controller can be configured to inventory the product based, at least in part, on the information about the product, and cause one or more of the visual indicators that are associated with a desired unit of the product to actuate.

Abstract: The present disclosure is directed to a dispensing system including: a product loading unit; a receptacle configured to receive the product loading unit; a storage area configured to receive product; and a transfer unit for moving the product between the product loading unit and the storage area. The present disclosure is also directed to a dispensing system including: a product loading unit; a receptacle configured to receive the product loading unit; a storage area configured to receive product; a transfer unit for moving the product between the product loading unit and the storage area; and a remote system operable to send and/or receive product information from the dispensing system regarding an amount of product and a type of product within the receptacle.