G16H50/80

HEALTH TESTING AND DIAGNOSTICS PLATFORM

Systems and methods for providing a universal platform for at-home health testing and diagnostics are provided herein. In particular, a health testing and diagnostic platform is provided to connect medical providers with patients and to generate a unique, private testing environment. In some embodiments, the testing environment may facilitate administration of a medical test to a patient with the guidance of a proctor. In some embodiments, the patient may be provided with step-by-step instructions for test administration by the proctor within a testing environment. The platform may display unique, dynamic testing interfaces to the patient and proctor to ensure proper testing protocols and accurate test result verification.

SYSTEMS AND METHODS FOR USING MACHINE LEARNING WITH EPIDEMIOLOGICAL MODELING

Systems and methods of epidemiological modeling using machine learning are provided, and can include receiving values for an occurrence of the infectious disease during a first time period, generating, from a model trained by a machine learning system, predictions for the occurrence of the infectious disease over a second time period, performing, by a simulator using the predictions, one or more simulations of the occurrence of the infectious disease in one or more geographic regions during one or more time periods subsequent to the second time period, and providing, to a user interface, a first simulation of the one or more simulations performed by the simulator for a first geographic region of the one or more geographic regions during a time period of the one or more time periods.

SYSTEMS AND METHODS FOR USING MACHINE LEARNING WITH EPIDEMIOLOGICAL MODELING

Systems and methods of epidemiological modeling using machine learning are provided, and can include receiving values for an occurrence of the infectious disease during a first time period, generating, from a model trained by a machine learning system, predictions for the occurrence of the infectious disease over a second time period, performing, by a simulator using the predictions, one or more simulations of the occurrence of the infectious disease in one or more geographic regions during one or more time periods subsequent to the second time period, and providing, to a user interface, a first simulation of the one or more simulations performed by the simulator for a first geographic region of the one or more geographic regions during a time period of the one or more time periods.

SYSTEMS AND METHODS FOR ACCURATE DETECTION OF FEBRILE CONDITIONS WITH VARYING BASELINE TEMPERATURES
20230050433 · 2023-02-16 ·

The present invention is directed to systems and process for detecting a febrile condition in screening of multiple or large groups of persons for the likelihood of infectious diseases. The system comprises a temperature measurement device having at least a processor, a display, temperature sensor, camera module, and facial recognition software. The display may include a positional overlay. The system further includes a database containing baseline temperatures for a number of persons, including baseline temperatures by age group and by gender. An input device optionally may identify the specific person or provide survey questions to a person to further determine a febrile condition. Based on the baseline temperatures, measured temperature and other characteristics of the person, a febrile condition may be determined. Additionally, the system may include a secondary screening component providing nasal swabbing or saliva testing.

METHODS AND SYSTEMS FOR NON-INVASIVE FORECASTING, DETECTION AND MONITORING OF VIRAL INFECTIONS

Devices, systems, and methods herein relate to non-invasive patient monitoring for infection detection and infection resolution. These systems and methods may receive and measure patient biosignals to estimate an infection level of a patient. In some embodiments, a method may include the steps of receiving physiological data of a patient. An infection measure may be estimated based on the physiological data. An infection state of the patient may be detected based at least in part on the estimated infection measure.

METHODS AND SYSTEMS FOR NON-INVASIVE FORECASTING, DETECTION AND MONITORING OF VIRAL INFECTIONS

Devices, systems, and methods herein relate to non-invasive patient monitoring for infection detection and infection resolution. These systems and methods may receive and measure patient biosignals to estimate an infection level of a patient. In some embodiments, a method may include the steps of receiving physiological data of a patient. An infection measure may be estimated based on the physiological data. An infection state of the patient may be detected based at least in part on the estimated infection measure.

Method and apparatus for predicting imported infectious disease information based on deep neural networks

A method for operating an apparatus for predicting confirmed cases of an infectious disease is provided. The method comprises predicting infectious disease information per country, including an infection risk per country, expected number of entrants per country, and number of imported cases per country, based on collected epidemic statistics data per country and inflow data between a corresponding country and a destination country, grouping two or more countries based on geographic or economic relevance, and correcting the infectious disease information per country of countries within a grouped group according to a contagion risk impact set depending on a correlation between the countries within the group, and predicting total number of imported cases flowing into the destination country by re-correcting the infectious disease information per country through applying a correlation for the confirmed cases of the infectious disease between groups to the infectious disease information per country.

Method and apparatus for predicting imported infectious disease information based on deep neural networks

A method for operating an apparatus for predicting confirmed cases of an infectious disease is provided. The method comprises predicting infectious disease information per country, including an infection risk per country, expected number of entrants per country, and number of imported cases per country, based on collected epidemic statistics data per country and inflow data between a corresponding country and a destination country, grouping two or more countries based on geographic or economic relevance, and correcting the infectious disease information per country of countries within a grouped group according to a contagion risk impact set depending on a correlation between the countries within the group, and predicting total number of imported cases flowing into the destination country by re-correcting the infectious disease information per country through applying a correlation for the confirmed cases of the infectious disease between groups to the infectious disease information per country.

ARTIFICIAL INTELLIGENT SYSTEM FOR MANAGING A POULTRY HOUSE

A system for use in a poultry house includes a control server, a network gateway disposed in the poultry house and equipping with a wireless communication capability; a movable sensor module disposed in the poultry house, wherein the movable sensor module is movable within the poultry house for obtaining a plurality of environmental parameters associated with specific locations within the poultry house, and a sampling machine disposed in the poultry house for obtaining a sample of poultry waste on the ground of the poultry house. The movable sensor module transmits the environmental parameters to the network gateway, and the network gateway transmits the environmental parameters to the control server for processing the environmental parameters.

System, method, and program product for generating and providing simulated user absorption information
11551803 · 2023-01-10 · ·

The present disclosure relates to a computer-implemented process for generating and providing simulated user absorption information pertaining to users and based on target profiles and target situations, thereby providing user targeted and situationally targeted content recommendations. It is an object of the present disclosure to provide a technological solution to the long felt need in small scale content recommendation systems caused by the technical problem of generating situationally targeted and user profile targeted content recommendations for users of an interactive electronic system.