Abstract: Methods and systems for monitoring patient physiological status. The system may include a source of vital sign measurements for a patient, a trained machine learning model that receives the vital sign measurements and provides an output related to the physiological status of the patient, and an interface configured to present the output to an operator. The method may include receiving, at a trained machine learning model, at least one physiological measurement, demographic information point, or treatment plan for a patient, providing, using the trained machine learning model, an output relating to the physiological status of the patient, and presenting, using an interface, the output to an operator.

Abstract: A residual life indicating system for a filter includes a main filter, a sampling filter, and a sensor. Both the main filter and the sampling filter receive an ambient gas meant to be filtered. The sensor connects to the sampling filter and senses the presence of a predetermined chemical in the gas that has been filtered by the sampling filter.