A method for generating an alimentary instruction set identifying a list of supplements, comprising receiving information related to a biological extraction and physiological state of a user and generating a diagnostic output based upon the information related to the biological extraction and physiological state of the user. The generating comprises identifying a condition of the user as a function of the information related to the biological extraction and physiological state of the user and a first training set. Further, the generating includes identifying a supplement related to the identified condition of the user as a function of the identified condition of the user and a second training set. Further, the method includes generating, by an alimentary instruction set generator operating on a computing device, a supplement plan as a function of the diagnostic output, said supplement plan including the supplement related to the identified condition of the user.

A method for generating an alimentary instruction set identifying a list of supplements, comprising receiving information related to a biological extraction and physiological state of a user and generating a diagnostic output based upon the information related to the biological extraction and physiological state of the user. The generating comprises identifying a condition of the user as a function of the information related to the biological extraction and physiological state of the user and a first training set. Further, the generating includes identifying a supplement related to the identified condition of the user as a function of the identified condition of the user and a second training set. Further, the method includes generating, by an alimentary instruction set generator operating on a computing device, a supplement plan as a function of the diagnostic output, said supplement plan including the supplement related to the identified condition of the user.

Example systems, methods, and apparatus, including cognitive platforms, are provided for computing performance metrics of an individual based at least in part on user interaction(s) with computerized tasks and/or interference and at least one physiological measure of the individual, where the performance metric provides an indication of the cognitive abilities of the individual. The apparatus can be coupled to at least one physiological component to perform the physiological measurement of the individual. The apparatus also can be configured to adapt the tasks and/or interferences to enhance the individual's cognitive abilities.

Example systems, methods, and apparatus, including cognitive platforms, are provided for computing performance metrics of an individual based at least in part on user interaction(s) with computerized tasks and/or interference and at least one physiological measure of the individual, where the performance metric provides an indication of the cognitive abilities of the individual. The apparatus can be coupled to at least one physiological component to perform the physiological measurement of the individual. The apparatus also can be configured to adapt the tasks and/or interferences to enhance the individual's cognitive abilities.

Systems and tools for sharing medical costs between prospective patients seeking treatment, and existing patients of a medical network. Prospective patients may actively query medical costs for specific conditions and treatments for the specific conditions previously experienced by existing patients. Existing patients contributing to the documents accessible by the medical network may upload anonymous versions of EOBs, medical bills and medical documents to the medical network in exchange for rewards. The prospective patients may communicate and query the desired information using natural language inputs to instruct a client computing system to search the medical network for relevant treatment information. The prospective patient may use natural language commands or other inputs to filter the query results by condition, location, cost, quality of service, service provider, insurance provider, or any other parameter that may be detailed by the medical documents accessible through the medical network.

Systems and tools for sharing medical costs between prospective patients seeking treatment, and existing patients of a medical network. Prospective patients may actively query medical costs for specific conditions and treatments for the specific conditions previously experienced by existing patients. Existing patients contributing to the documents accessible by the medical network may upload anonymous versions of EOBs, medical bills and medical documents to the medical network in exchange for rewards. The prospective patients may communicate and query the desired information using natural language inputs to instruct a client computing system to search the medical network for relevant treatment information. The prospective patient may use natural language commands or other inputs to filter the query results by condition, location, cost, quality of service, service provider, insurance provider, or any other parameter that may be detailed by the medical documents accessible through the medical network.

A method for generating an alimentary instruction set identifying a list of supplements, comprising receiving information related to a biological extraction and physiological state of a user and generating a diagnostic output based upon the information related to the biological extraction and physiological state of the user. The generating comprises identifying a condition of the user as a function of the information related to the biological extraction and physiological state of the user and a first training set. Further, the generating includes identifying a supplement related to the identified condition of the user as a function of the identified condition of the user and a second training set. Further, the method includes generating, by an alimentary instruction set generator operating on a computing device, a supplement plan as a function of the diagnostic output, said supplement plan including the supplement related to the identified condition of the user.

A method for generating an alimentary instruction set identifying a list of supplements, comprising receiving information related to a biological extraction and physiological state of a user and generating a diagnostic output based upon the information related to the biological extraction and physiological state of the user. The generating comprises identifying a condition of the user as a function of the information related to the biological extraction and physiological state of the user and a first training set. Further, the generating includes identifying a supplement related to the identified condition of the user as a function of the identified condition of the user and a second training set. Further, the method includes generating, by an alimentary instruction set generator operating on a computing device, a supplement plan as a function of the diagnostic output, said supplement plan including the supplement related to the identified condition of the user.

Systems and methods for providing assistance to a surgeon during an implant surgery are disclosed. A method includes defining areas of interest in diagnostic data of a patient and defining a screw bone type based on the surgeon's input. Post defining the areas of interest, salient points are determined for the areas of interest. Successively, an XZ angle, an XY angle, and a position entry point for a screw are determined based on the salient points of the areas of interest. Successively, a maximum screw diameter and a length of the screw are determined based on the salient points. Thereafter, the screw is identified and suggested to the surgeon for usage during the implant surgery.

Systems and methods for providing assistance to a surgeon during an implant surgery are disclosed. A method includes defining areas of interest in diagnostic data of a patient and defining a screw bone type based on the surgeon's input. Post defining the areas of interest, salient points are determined for the areas of interest. Successively, an XZ angle, an XY angle, and a position entry point for a screw are determined based on the salient points of the areas of interest. Successively, a maximum screw diameter and a length of the screw are determined based on the salient points. Thereafter, the screw is identified and suggested to the surgeon for usage during the implant surgery.