# US 2021/0280315 A1 · Data-based general health certification for a product life cycle > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2021/0280315 A1 - Document ID: US20210280315A1 - Status: Published application - Kind: A1 - Application number: 16/898,322 - Filed: 2020-06-10 - Published: 2021-09-09 - Earliest claimed: 2020-03-05 - Assignees: Visualogyx, Inc. - Applicants: Visualogyx, Inc. - Inventors: Jorge Woldenberg - Web page: https://patentgrep.com/patent/US20210280315A1 ## CPC - G16H 50/30: for calculating health indices; for individual health risk assessment - G06F 17/18: for evaluating statistical data {, e.g. average values, frequency distributions, probability functions, regression analysis (forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04)} - G16H 10/20: for electronic clinical trials or questionnaires - G16H 40/63: for local operation - G16H 40/67: for remote operation - G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems - G16H 50/70: for mining of medical data, e.g. analysing previous cases of other patients - G16H 80/00: ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring - H04L 67/306: User profiles - Y02A 90/10: Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) - Y02A: TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE ## Abstract Introduced here are technologies for providing a general health certificate for each stage of a product life cycle and for the life cycle as a whole. The platform utilizes sensors at each stage of the life cycle and sensors tracking the health of participants in the life cycle. The data from the sensors are analyzed to determine the probability of viral cells and/or pathogens contacting the product. The general health certificate, depending on the probability that viral cells and/or pathogens contacted the product, will indicate a safe or unsafe result. The general health certificate may change throughout the life cycle depending on whether the health risk continues to exist. Additionally, the platform may provide recommendations to avoid the spread of any detected viruses. The platform can be implemented as a plug-in and/or solitary application. The goal is to prevent the spread of a virus. ## Claims ### Claim 1 A computer-implemented method for determining whether a product was exposed to pathogen particles during production and distribution stages, the method comprising: acquiring pathogen related data from sensors, wherein the sensors are operable to monitor an environment around the product, and wherein the sensors are located at a first location associated with a stage of a plurality of stages; determining, based on the pathogen related data from the sensors, a probability that pathogen particles contacted the product; in response to determining that the probability that pathogen particles did contact the product is above a pre-determined threshold probability value, associating, an unsafe pathogen certificate with the stage, the unsafe pathogen certificate being an indicator that the product should not contact another object or person; and appending a recommendation report to a web-based application, based on the unsafe pathogen certificate, the recommendation report being related to limiting the spread of the pathogen particles. ### Claim 2 (depends on 1) The method of claim 1, wherein the sensors are operable to detect H1N1 pathogens and wherein the sensors include a conductive polymer placed between electrodes, the method further comprising: detecting, by the electrodes, a change in voltage caused by H1N1 pathogens adhering to the conductive polymer. ### Claim 3 (depends on 2) The method of claim 2, wherein the conductive polymer is operable to adhere to any of nitric oxide, acetone, ammonia, or any combination thereof. ### Claim 4 (depends on 1) The method of claim 1, wherein the sensors are any of optical sensors, potentiometric sensors, impediametric sensors, amperometric sensors, piezoelectric sensors, magnetic sensors, thermometric sensors, or any combination thereof. ### Claim 5 (depends on 1) The method of claim 1 further comprising: appending the recommendation report to a blockchain ledger. ### Claim 6 (depends on 1) The method of claim 1, wherein determining the probability that pathogen particles contacted the product further comprises: parsing the pathogen related data through a pipeline of deep learning models, wherein an output from a first deep learning model becomes an input to a second deep learning model, and wherein the pipeline includes any two of a model that uses a frequency of occurrence of a term in a document, a model that derives topic features, a clustering based model, an iterative clustering based model, or a model that uses tree-structures for attribute classification. ### Claim 7 (depends on 1) The method of claim 1, wherein the pathogen particles includes pathogens caused by a common cold, flu, meningitis, herpes, chicken pox, measles, norovirus, rotavirus, hepatis, yellow fever, dengue fever, HIV, AIDS, COVID-19, or any combination thereof. ### Claim 8 (depends on 1) The method of claim 1, further comprising: acquiring GPS data representative of the first location. ### Claim 9 (depends on 1) The method of claim 1, wherein acquiring pathogen related data from sensors further comprises: acquiring data from sensors onboard wearable devices, wherein the wearable devices are associated with users that contact the product, and wherein the sensors onboard wearable devices can be any of heart rate sensors, step trackers, oximeters, or any combination thereof. ### Claim 10 (depends on 1) The method of claim 1, wherein associating the unsafe pathogen certificate with the product further comprises: associating the product with a quick response (QR) code, wherein the QR code grants access to the web-based application and the recommendation report. ### Claim 11 (depends on 1) The method of claim 1, wherein the recommendation report includes the data acquired from the sensors and the pathogen certificate associated with the stage. ### Claim 12 (depends on 1) The method of claim 1, wherein the stage is a first stage of the plurality of stages, the method further comprising: acquiring pathogen related data from sensors, wherein the sensors are operable to monitor an environment around the product, and wherein the sensors are located at a second location associated with a second stage of the plurality of stages; determining, based on the pathogen related data from the sensors located at the second location, the probability that pathogen particles contacted the product at the first location and not the second location; associating, based on the determination that the probability that pathogen particles did contact the product at the first location is higher than the pre-determined threshold probability and not higher than the pre-determined threshold value at the second location, the an unsafe pathogen certificate for the first location and a safe pathogen certificate for the second location, the safe pathogen certificate being an indicator that the product can contact another object or person. ### Claim 13 (depends on 12) The method of claim 12 further comprising: associating the life cycle of the product with an unsafe pathogen certificate, based on associating the first location with an unsafe pathogen certificate. ### Claim 14 (depends on 12) The method of claim 12 further comprising: determining a number of times pathogen particles contacted the product in the first location and the second location; determining that the number of times is above a threshold value; and associating the life cycle of the product with an unsafe pathogen certificate. ### Claim 15 (depends on 12) The method of claim 12 further comprising: determining a number of times pathogen particles contacted the product in the first location and second location; determining that the number of times is below a threshold value; and associating the life cycle of the product with a safe pathogen certificate. ### Claim 16 (depends on 1) The method of claim 1, wherein the stage is a first stage of the plurality of stages, and wherein associating a pathogen certification with the product further comprises: acquiring pathogen related data from sensors, wherein the sensors are located at a second location associated with a second stage of the plurality of stages; determining, based on the pathogen related data from the sensors located at the second location, the probability that pathogen particles did contact the product at the first location and the second location is below the pre-determined threshold; associating, based on the determination that the probability that pathogen particles did contact the product at the first location and the second location is below the pre-determined threshold, a safe pathogen certificate for the first location and a safe pathogen certificate for the second location. ### Claim 17 (depends on 16) The method of claim 16 further comprising: associating, the life cycle of the product with a safe pathogen certificate, based on associating the first location and the second location with a safe pathogen certificate. ### Claim 18 (depends on 1) The method of claim 1, wherein providing recommendations further comprises: analyzing the number of days that have passed since the pathogen particles have come in to contact with the product. ### Claim 19 A computer-implemented method of providing a health certificate for a product, the method comprising: integrating, by a host application at a computing device associated with a first user, a plug-in, the plug-in capable of providing instructions to the computing device, the instructions including: acquiring, at the computing device associated with the first user, data from a first set of sensors, the first set of sensors being operable to monitor an environment around the product and located at a first location of a life cycle of the product, the data being related to health risks; analyzing the data from the first set of sensors; identifying health risks, based on the analysis of the data from the first set of sensors; and establishing the health certificate for the first location, based on the identified health risks; displaying, by the plug-in on a display of the computing device, the health certificate; and appending a recommendation report to the plug-in, based on the health certificate, the recommendation report being related to limiting the spread of the health risks. ### Claim 20 (depends on 19) The method of claim 19, wherein the health risks are associated with pathogens caused by a common cold, flu, meningitis, herpes, chicken pox, measles, norovirus, rotavirus, hepatis, yellow fever, dengue fever, HIV, AIDS, COVID-19, or any combination thereof. ### Claim 21 (depends on 19) The method of claim 19, wherein identifying health risks further comprises: determining there are no health risks associated with the data from the first set of sensors; and establishing a safe health certificate for the first location. ### Claim 22 (depends on 19) The method of claim 19, wherein identifying health risks further comprises: determining there are health risks associated with the data from the first set of sensors; and establishing an unsafe health certificate for the first location. ### Claim 23 (depends on 19) The method of claim 19 further comprising: identifying a plurality of health risks; assigning a score for each identified health risk of the plurality of health risks; summing the scores provided to each health risk of the plurality of health risks; determining that the sum of the scores is higher than a threshold value; and establishing an unsafe health certificate for the first location. ### Claim 24 (depends on 19) The method of claim 19, wherein identifying health risks further comprises: identifying a plurality of health risks; assigning a score for each identified health risk of the plurality of health risks; summing the scores provided to each health risk of the plurality of health risks; determining that the sum of the scores is lower than a threshold value; and establishing a safe health certificate for the first location. ### Claim 25 A health certification system comprising: a plurality of sensors operable to monitor an environment around a product, acquire pathogen related data from the environment around the product, and transmit the pathogen related data to a server, wherein the plurality of sensors is located at locations associated with a plurality of stages; the server communicatively coupled to the plurality of sensors, the server comprising: a processor; and a memory having instructions stored thereon that, when executed by the processor, cause the processor to: receive the pathogen related data from the plurality of sensors; determine, based on the pathogen related data from the sensors, a probability that pathogen particles contacted the product; associate, based on the probability that pathogen particles contacted the product, a pathogen certificate with the stage; and provide recommendations based on the pathogen certificate, the recommendations being related to limiting the spread of pathogen and a web-based application operable to be executed on a user device and display the pathogen certificate and recommendations on a page of the application. ### Claim 26 (depends on 25) The electronic device of claim 25, wherein the plurality of sensors are any of thermal sensors, optical sensors, air pollution sensors, chemical sensors, biosensors, optical sensors, potentiometric sensors, impediametric sensors, amperometric sensors, piezoelectric sensors, magnetic sensors, and thermometric sensors. or any combination thereof. ### Claim 27 (depends on 25) The electronic device of claim 25, wherein the plurality of sensors comprise gold nanoislands, wherein the refractive index of the gold nanoislands change when in the presence of pathogen particles. ### Claim 28 A computer-implemented method for determining whether a product was exposed to pathogen particles during a packaging stage, the method comprising: acquiring pathogen related data from sensors, wherein the sensors are operable to monitor each layer of packaging among a plurality of packaging layers that are applied to the product; determining, based on the pathogen related data from the sensors, the probability that pathogen particles contacted a packaging layer among the plurality of packaging layers; in response to determining that the probability that pathogen particles did contact the packaging layer is above a pre-determined threshold, associating an unsafe pathogen certificate with the product, the unsafe pathogen certificate being an indicator that the product should not contact another object or person; and appending a recommendation report to a web-based application, based on the unsafe pathogen certificate, the recommendation report being related to limiting the spread of pathogen. ### Claim 29 (depends on 28) The method of claim 28, wherein the plurality of layers is applied sequentially. ### Claim 30 (depends on 28) The method of claim 28, wherein the sensors monitor each layer of the plurality of packaging layers prior to application on the product.