A system for arranging transport of adapted nutrimental artifacts with user-defined restriction. The system includes at least a user-client device configured to display at least an unrestricted nutrimental object, transmit at least a restricted nutrimental datum, transmit at least an adapted nutrimental request, and receive a selection of at least a sustenance provider and a selection of at least a physical performer. The system includes at least a server configured to receive at least a restricted nutrimental datum. The system includes a nutrimental processing module configured to generate at least a first filter set and transmit at least a first filter set. The system includes a nourishment provider module operating on the at least a server configured to generate at least a sustenance provider instruction set and at least a physical performer instruction set and select the at least a sustenance provider and the at least a physical performer.

Systems and method are provided for generating and monitoring holistic treatment process. A computing device may receive an identification of symptoms associated with a user profile. The computing device may execute a machine-learning model using the user profile and the symptoms to generate a holistic treatment process configured to alleviate the symptoms. The computing device may receive performance data corresponding to the execution of the holistic treatment process over a first time interval and, in response, modify the machine-learning model using the performance data to generate an updated machine-learning model. The updated machine-learning model may be configured to generate a revised holistic treatment process that is more likely to alleviate the one or more symptom. The computing device may then facilitate a presentation of the revised holistic treatment process.

Systems and method are provided for generating and monitoring holistic treatment process. A computing device may receive an identification of symptoms associated with a user profile. The computing device may execute a machine-learning model using the user profile and the symptoms to generate a holistic treatment process configured to alleviate the symptoms. The computing device may receive performance data corresponding to the execution of the holistic treatment process over a first time interval and, in response, modify the machine-learning model using the performance data to generate an updated machine-learning model. The updated machine-learning model may be configured to generate a revised holistic treatment process that is more likely to alleviate the one or more symptom. The computing device may then facilitate a presentation of the revised holistic treatment process.

A medical device is disclosed. The medical device includes an RFID reader for receiving information from at least one RFID transponder. The medical device also includes a memory for storing a database and at least one processor for processing information. Also, a remote controller for a medical device is disclosed. The remote controller includes an information receiver for receiving information related to food. The infusion device also includes a memory for storing a database and at least one processor for processing information. A method for use in a medical device is also disclosed. The method includes receiving information from an RFID transponder related to food. Also, the processing the information by comparing the information to a database is included in the method. The method also includes determining the acceptability of the food and providing information related to acceptability to the user.

A medical device is disclosed. The medical device includes an RFID reader for receiving information from at least one RFID transponder. The medical device also includes a memory for storing a database and at least one processor for processing information. Also, a remote controller for a medical device is disclosed. The remote controller includes an information receiver for receiving information related to food. The infusion device also includes a memory for storing a database and at least one processor for processing information. A method for use in a medical device is also disclosed. The method includes receiving information from an RFID transponder related to food. Also, the processing the information by comparing the information to a database is included in the method. The method also includes determining the acceptability of the food and providing information related to acceptability to the user.

In an embodiment, a method for estimating a composition of food includes: receiving a first three-dimensional (3D) image; identifying food in the first 3D image; determining a volume of the identified food based on the first 3D image; and estimating a composition of the identified food using a millimeter-wave radar.

A system is disclosed that monitors participants in health-related programs, such as weight loss or exercise programs, and that provides automated, personalized health coaching to the program participants. The system includes breath analysis devices that are used by the program participants to generate ketone measurements, and includes a mobile application that runs on mobile devices of the participants and communicates with corresponding breath analysis devices. The system operates generally by monitoring ketone levels (such as acetone levels) and other attributes of the participants and by making personalized, machine-generated changes or updates to such programs to maintain program effectiveness and engagement. In some embodiments the system uses artificial intelligence to classify and coach the participants.

A system is disclosed that monitors participants in health-related programs, such as weight loss or exercise programs, and that provides automated, personalized health coaching to the program participants. The system includes breath analysis devices that are used by the program participants to generate ketone measurements, and includes a mobile application that runs on mobile devices of the participants and communicates with corresponding breath analysis devices. The system operates generally by monitoring ketone levels (such as acetone levels) and other attributes of the participants and by making personalized, machine-generated changes or updates to such programs to maintain program effectiveness and engagement. In some embodiments the system uses artificial intelligence to classify and coach the participants.

Item-management systems, apparatus, and methods are described, preferably for management of items such as medicaments. In embodiments, an item-management system comprises a container defining plural cells, a docking station configured to receive the container, sources of visible information to indicate the cell(s) into which an item is to be loaded, and at least one controller operable to control the visible information sources to indicate the cell into which the item is to be received.

Item-management systems, apparatus, and methods are described, preferably for management of items such as medicaments. In embodiments, an item-management system comprises a container defining plural cells, a docking station configured to receive the container, sources of visible information to indicate the cell(s) into which an item is to be loaded, and at least one controller operable to control the visible information sources to indicate the cell into which the item is to be received.