DEVICES, SYSTEMS AND METHODS FOR GEOLOCATION-BASED SKIN SCIENCE ENVIRONMENTAL EXPOSURE METRICS
Patent Information
- Application Number
- FR2023009194
- Authority / Receiving Office
- FR · FR
- Patent Type
- Utility models
- Current Assignee / Owner
- Filing Date
- 2023-09-01
- Publication Date
- 2025-10-24
- Estimated Expiration
- 2033-09-01
Abstract
Description
Title of Invention: DEVICES, SYSTEMS, AND METHODS FOR GEOLOCATION-BASED SKIN SCIENCE-BASED ENVIRONMENTAL EXPOSURE METRICS SUMMARY
[0001] In one aspect, the disclosure provides a system configured for managing environmental exposure and associated risk of an exposome-induced skin condition of a subject, the system comprising: circuitry for determining an ultraviolet index (UVI) and a geolocation-specific pollutant level in response to one or more inputs indicative of a geolocation of the subject during a specific period, duration, or time; circuitry for determining a value of a photopollution metric (photopollution / UV) in response to one or more inputs indicative of the UVI and the geolocation-specific pollutant level, wherein the value of the photopollution metric corresponds to an associated exposure risk of the exposome-induced skin condition; and circuitry for communicating the associated exposure risk of the exposome-induced skin condition to the subject.
[0002] In one aspect, the disclosure provides a system configured for managing environmental exposure and associated risk of an exposome-induced skin condition of a subject, the system comprising: circuitry for determining a geolocation-specific exposome level; circuitry for determining the associated risk of the exposome-induced skin condition based on the geolocation-specific exposome level; and circuitry for communicating the associated risk of the exposome-induced skin condition to the subject.
[0003] This summary is provided to present a selection of concepts in simplified form which are described more fully below in the detailed description. This summary is not intended to identify key features of the claimed subject matter, nor to be used as an aid in determining the scope of the claimed subject matter. Description of the Drawings
[0004] [Fig-1] [Fig.l] shows an example of geolocation of a subject via at least one mobile device, an estimate of pollution values as determined by an organization that collects and provides environmental exposure information as a service, and the communication of a photopollution metric (photopollution / UV) based on the UV index (UVI) and the level of a pollutant.
[0005] [Fig.2] [Fig.2] shows examples of environmental data that can be used for a metric of a device, system or method according to the disclosure.
[0006] [Fig.3] [Fig.3] presents an overview of research methods for formulate the photopollution metric (photopollutionlUV) based on UVI and pollutant levels.
[0007] [Fig.4] [Fig.4] shows a more detailed view of search methods for formulate the photopollution metric.
[0008] [Fig.5] [Fig.5] shows a graph of a photopollution metric (y-axis, photopollution (UV) as a function of the level of particulate matter with a diameter less than or equal to approximately 2.5 pm (x-axis, PM2.5 concentration) as influenced by the UV index (UVI).
[0009] [Fig.6] [Fig.6] shows a graphical visualization of an example process boarding that uses a questionnaire to estimate a subject's historical exposures and baseline exposure level.
[0010] [Fig.7] [Fig.7] shows a graphical visualization of an example of a process of Day-to-day coaching or tracking that uses a software application to track a subject's geolocations and estimate the subject's exposure to environmental pollutants to provide actionable advice to the subject on healthcare, skin care, and / or outdoor activities.
[0011] [Fig.8] [Fig.8] presents a table describing examples of uses of the metric for consumer applications.
[0012] [Fig.9] [Fig.9] shows an example of application of the metric for studies clinics and healthcare management.
[0013] [Fig. 10] [Fig. 10] presents an example application of the metric for exposure to one or more environmental pollutants (e.g., the "exposome") with a graphical user interface and / or a feedback interface to assist consumers in decision making in areas related to their environment, lifestyle, biological processes and to predict potential exposures in the future.
[0014] [Fig. 11] [Fig. 11] shows an example of a diagnostic process that uses a questionnaire for the analysis of a subject exposed to the exposome, the analysis of imperfections and the analysis of skin aging, with a graphical user interface and / or a feedback interface.
[0015] [Fig. 12] [Fig. 12] shows an example clinical study software application user experience in which a subject participates in an onboarding questionnaire and provides information about past geographic locations and passively shares a geolocation of the device for the clinical study, with a graphical user interface and / or a feedback interface.
[0016] [Fig. 13] [Fig. 13] shows an exemplary calculation system in an exemplary configuration for use by a user to view exposure analysis and other information as determined by calculations using the metric.
[0017] [Fig. 14] [Fig. 14] shows an example of a method for determining a value of a metric and communicating the associated risk of an exposome-induced skin condition, according to the disclosure, using a computational system.
[0018] [Fig. 15] [Fig. 15] shows a block diagram, which illustrates an exemplary embodiment of a computing device suitable for use as a computing device or computing system with embodiments of the disclosure.
[0019] The foregoing aspects and numerous attendant advantages of the present invention will be more readily appreciated as they are better understood with reference to the following detailed description, when taken in conjunction with the accompanying drawings. Detailed description
[0020] Scientific literature indicates that the accumulation of pollutant particles (PM2.5, PM10), gases (NO2, SO2, CO), solar energy and pollen particles (tree, grass and weed pollens) in and on the skin is more directly linked to deleterious consequences on the skin. Polycyclic aromatic hydrocarbons (PAHs), UVA, UVB and HEV light also induce skin toxicity. The UV Index (UVI) is an informative metric to manage exposure to harmful UV radiation and the associated risk of skin damage or skin conditions, but this metric fails to account for the influence of environmental pollutants on these risks.Therefore, consumers in areas with environmental pollutants that can impact skin health are at greater risk of experiencing skin damage or suffering from negative skin conditions due to the presence of not only UV rays, but also environmental pollutants.
[0021] Therefore, there is a need for a geolocation-specific exposome level, as well as systems and methods for making and using it, to obtain highly relevant advice for skin functionality, health, and appearance. A metric should be implemented within the constraints of highly scalable data systems such as environmental variables that are monitored globally at high spatiotemporal resolution, including UVI and pollutant levels. Such a metric should also be easily communicable and understandable to consumers of beauty and skincare products and require little or no pre-existing knowledge about the effects of environmental exposures on skin. Such a metric metric could be used as an input into beauty or skincare advice or recommendations in any form.
[0022] The present disclosure addresses these and other enduring and unmet needs in the art with a data platform and user experiences implemented with systems, devices, and methods for making and using an environmental metric. The data platform measures the average environmental exposure for each in a series of time intervals, which can range from hourly to monthly temporal resolution. For example, given geolocations collected from a smartphone, corresponding average values are calculated for each environmental variable. In addition to individual variables, the data platform enables novel composite metrics that are relevant to skin health, such as pollution-solar radiation synergy, a novel metric for communicating the risk of skin conditions as a function of environmental exposure.In embodiments, a metric is based on IUV and levels of an environmental pollutant and is tailored for a specific individual with a specific set of geolocation data. In embodiments, the geolocation data is based on global positioning system (GPS) data and / or data obtained from a questionnaire that asks about historical geolocations of the individual.
[0023] Referring now to [Fig. 1], there is shown an example of determining the geolocation of a subject by at least one mobile device, estimating pollution values as determined by an organization that collects and provides environmental exposure information as a service, and communicating a photopollution metric (photopollution / UV) as a function of the UV index (UVI) and the level of a pollutant.
[0024] In embodiments, an application programming interface (API) is used by a software application of an individual's smartphone to access location services of the individual's smartphone, and the software application may locally process or send 11 geolocation data to a cloud data platform 12 for further processing. The system estimates 13 pollution values for geolocations of the geolocation data and may generate hourly aggregates 14 and estimate missing data 15 to ensure exploitation of a complete environmental data set. In the embodiments shown, particulate matter is exploited as an environmental pollutant, but other pollutants may be used in an embodiment.PM2.5 levels correspond to levels of particulate matter with a diameter less than or equal to approximately 2.5 pm. and PM10 levels correspond to levels of particulate matter with a diameter less than or equal to approximately 10 pm.
[0025] Once determined, a photopollution metric, such as pollution-adjusted UVI 17, is optionally presented to the user either alone or in combination with other environmental data 16, in embodiments. In embodiments, the individual may be presented with an exposure history that is based on annual exposure levels to pollutants and / or UV radiation, and the information processed or individualized for the user to include health tips, hourly forecasts, air quality warnings, current conditions, and links to informational articles for further reading or consumer education. As shown in [Fig. 2], a variety of environmental data 21 are leveraged for a metric of a device, system, or method according to the disclosure, however, in embodiments, PM2.5 is leveraged in combination with UVI.
[0026] Referring now to [Fig. 3], there is shown an overview of a method for formulating photopollution metrics (photopollutionlUV) based on UVI and pollutant levels. A method for formulating a photopollution metric for the risk of a skin condition using a computer system includes converting, with the computer system, a cell viability function based on the results of exposure of cells to ultraviolet (UV) light and a pollutant in vitro 31 to an ultraviolet index (UVI) linear regression model 32, in which UVI, pollutant level and an UVI pollutant factor are weighted factors in the UVI linear regression model. The UVI pollution factor (UV * MP) or (UV * MP2.5) is weighted based on an estimated bioavailability 33 of the particulate matter.The weighted bioavailability factor, MPbio-dose, is determined based on biological characteristics of the subject and the environment, and a value determined for MPbiodose, A, is used for the weight of the UV-pollutant factor. Once the weights for IUV, MP, and the IUV pollution factor (A) are determined, the photopollution metric is determined 34. .
[0027] As shown in [Fig.4], a more detailed view of the method for formulating the photopollution metric is shown. Briefly, the method includes combining 41 data from one or more experiments exposing cells or tissues to UV radiation (UV), particulate matter (PM), or both (UV*PM), and linearly modeling 42 cell viability versus UV, PM, and UV*PM, and plotting 43 relative keratinocyte inactivation versus UV light wavelength, and then translating 44 cell viability model coefficients into a photopollution / UVI model. Translating 44 cell viability model coefficients into a photopollution / UVI model includes modeling 45 the biological dose of MP in the skin to obtain 46 the photopollution metric.
[0028] Generally, methods for managing environmental exposure and associated risk of an exposome-induced skin condition of a subject include: determining a geolocation-specific exposure level; determining the associated risk of the exposome-induced skin condition based on the geolocation-specific exposure level; and communicating the associated risk of the exposome-induced skin condition to the subject.
[0029] [Fig. 14] shows an example method 1401 for determining a value of a metric according to the disclosure using a computing system, in which the function for determining the metric has been established. A personal device provides 1402 personal data including geolocations and timestamps to an environmental data service. The environmental data service provides 1403 environmental data including IUV and PM2.5 that correspond to the personal data of the personal device. The personal device determines 1404 a pollution-adjusted IUV metric that corresponds to a person's exposure to UV and pollutants.
[0030] Referring now to [Fig. 5], there is shown a graph 51 of a photopollution metric (y-axis, photopollution / UV) as a function of the level of particulate matter having a diameter less than or equal to about 2.5 pm (x-axis, PM2.5 concentration) as influenced by the UV index (UVI). The photopollution / UV metric increases with increasing PM2.5, and in particular, the photopollution / UV metric increases incrementally with incremental increases in PM2.5.
[0031] Referring now to Figures 6-8, there are shown graphical visualizations of examples of use of the metric in methods, systems, and devices, including an example onboarding process that leverages a questionnaire to estimate historical exposures and a baseline exposure level of a subject ([Fig. 6]) and a graphical visualization of an example coaching or daily tracking process that uses a software application to track geolocations of a subject and estimate the subject's exposure to environmental pollutants to provide actionable advice to the subject on healthcare, skincare, and / or outdoor activities ([Fig. 7]), and several other examples of use of the metric for consumer applications ([Fig. 8]).
[0032] An example of an onboarding process, as shown in [Fig. 6], includes steps in which a person begins 61 a boarding service and the person completes 62 an initial questionnaire about current and / or past geolocation information. The questions in the questionnaire may concern, for example, current and / or past home and / or work locations. The system estimates then 63 of the individual's historical exposures using the metric and the individual can then view 64 their baseline exposure metrics and receive actionable advice or recommendations on how to best use this information, for example by changing their commute or outdoor exposure.
[0033] An example of a day-by-day coaching process, as shown in [Fig. 7], includes steps in which the individual signs up 71 for a software application service, the software application accumulates 72 geolocations of the individual, and the software application then estimates exposures 73 by leveraging algorithms and methods of disclosure. The individual may then receive actionable and relevant advice 74 in the form of the metric, possibly combined with other environmental data.
[0034] Exemplary applications of the environmental exposure metric in research and innovation (R&I) 81 and services 82 are shown in [Fig. 8]. Exemplary applications include use as an assessment tool, a data science tool, use in programmatic beauty applications, coaching, and / or diagnostics. As shown in [Fig. 9], an example application of the metric for clinical studies and healthcare management 91 may include use of biometric wearable devices 92, use of environmental data 93, use of clinical and instrumental data 94, and use of medical records 95. An example data set 96, which may be passively captured, is used as inputs for the clinical studies and healthcare management 91, in embodiments.
[0035] Referring now to Figures 10-12, there is shown an example application of the metric for exposure to one or more environmental pollutants (e.g., the "exposome") to enable informed decision making in areas related to their environment, lifestyle, biological processes, and prediction of potential exposures in the future ([Fig. 10]), an example diagnostic process that leverages a questionnaire for exposome analysis, blemish analysis, and skin aging analysis of a subject ([Fig. 11]), and an example user experience of a clinical study software application in which a subject participates in an onboarding questionnaire and provides information about past geographic locations and passively shares a device geolocation for the clinical study ([Fig. 12]).
[0036] As shown in [Fig. 10], an example software application (e.g., "FaceFacts") may provide an "exposome"-driven habit coaching service to beauty consumers. The service may include providing a comprehensive exposure snapshot to the individual, providing powerful lighting, per and actionable to the individual, and the provision of a plurality of other features 1001 such as skin predictions, immediate alerts, exposure reports and data-driven recommendations to improve health and skin care. In this way, the individual can make informed decisions regarding health and skin care.
[0037] As shown in [Fig.l 1], an exemplary diagnostic software application and process 1101 is shown. The diagnostic process may request information from the user using one or more app-based web forms in which the user provides a geolocation and receives a consultation or opinion 1102 from an artificial intelligence (AI), e.g., “SkinConsult AI.” The consultation informs the consumer about how environmental exposure influences their skin.The features may include a “SpotScan” feature whereby the user’s face or skin is scanned by the smartphone to provide an analysis (e.g., blemish analysis) and / or a “Skin Genius” feature whereby information about the user’s face or skin is provided by the user to a healthcare professional, such as a dermatologist, for evaluation and possible prescription for the treatment of a health condition.
[0038] As shown in [Fig. 12], an exemplary R&I clinical software application is useful for clinical trials or other research that includes tracking individuals' geolocations and environmental exposure information and correlating this information with health care conditions and / or treatments, such as experimental or established treatments. The clinical trial or other research may include, among other evaluations, an assessment of the effectiveness of geolocation-based exposure metrics, as described herein, in predicting or correlating with the onset or progression of skin conditions or other health conditions.
[0039] Referring now to [Fig. 13], there is shown an exemplary computer system 1301 in an exemplary configuration for use by a user to view exposure analysis and other information as determined by calculations using the metric; this configuration is used in a clinical study, for example. The system 1301 may include a user smartphone 1302 having an operating system 1306 and a software application (“app”) 1305. In embodiments, the smartphone is operably connected to a cloud data platform accessible via one or more APLs. The smartphone may send geolocation data to the data platform and receive exposure data in return. In embodiments, collected data is stored in the cloud 1304, according to methods known in the art, with one or more networked servers.
[0040] Referring now to [Fig. 15], there is shown a block diagram, which illustrates an exemplary embodiment of a computing device 151 suitable for use as a computing device or computing system with embodiments of the disclosure.
[0041] As used herein, "system" and "computing system" refer to one or more computing devices that are configured to perform all or part of any method of the disclosure, in any order or sequence of steps, optionally in combination with one or more other computing devices that are configured to perform all or part of any method of the disclosure, in any order or sequence of steps. In at least some cases, a method may be performed by two or more computing devices that together form at least part of a computing system, and in such cases, the steps performed by a first computing device may be complementary to the steps performed by a second computing device. In other cases, a method may be performed by a computing device that forms at least part of a computing system.
[0042] As used herein, "computing device" means a physical hardware computing device that is configured to perform all or part of any method of the disclosure, in any order or sequence of steps, optionally with human input.
[0043] As shown in [Fig. 13], in embodiments, a system 1301 is configured to manage environmental exposure and the associated risk of an exposome-induced skin condition of a subject (e.g., user). The system 1301 includes circuitry (e.g., 1303, 1304) for determining a geolocation-specific exposure level; circuitry (e.g., 1302, 1304, 1305, 1306) for determining the associated risk of the exposome-induced skin condition based on the geolocation-specific exposure level; and circuitry (e.g., 1302, 1305, 1306) for communicating to the subject the associated risk of the exposome-induced skin condition. In embodiments, the circuitry for communicating the associated risk of the exposome-induced skin condition to the subject implements a graphical user interface and / or a feedback interface for communicating with the subject.
[0044] In embodiments, the system 1301 includes circuitry (e.g., 1303, 1304) for determining an ultraviolet index (UVI) and a geolocation-specific pollutant level in response to one or more inputs indicative of a geolocation of the subject during a specific period, duration, or moment in time; circuitry (e.g., 1302, 1304, 1305, 1306) for determining a value of a photopollution metric (photopollution / UV) in response to one or more inputs indicative of a geolocation of the subject during a specific period, duration, or moment in time; multiple inputs indicative of the UVI and the geolocation-specific pollutant level, such that the value of the photopollution metric corresponds to an associated exposure risk of the exposome-induced skin condition; and circuitry (e.g., 1302, 1305, 1306) for communicating to the subject the associated exposure risk of the exposome-induced skin condition.
[0045] In embodiments, the circuitry for determining the ultraviolet index (UVI) and the geolocation-specific pollutant level (e.g., 1303, 1304) includes circuitry configured to retrieve the geolocation-specific pollutant level from a remote third-party server (e.g., 1303, 1304) that collects and provides environmental information.
[0046] In embodiments, the circuitry for determining the ultraviolet index (UVI) and the pollutant level specific to the geolocation (e.g., 1303, 1304) includes circuitry configured to determine the geolocation via at least one mobile device (e.g., 1302), such that determining the value of the photopollution metric is performed by the mobile device (e.g., 1302) or a server (e.g., 1303, 1304) remote from the mobile device and communicating the value of the metric is performed by the mobile device (e.g., 1302).
[0047] In embodiments, the ultraviolet index (UVI) and geolocation-specific pollutant level determination circuitry (e.g., 1303, 1304) includes circuitry configured to retrieve geolocation-specific pollutant level information that is associated with particulate matter having a diameter less than or equal to about 2.5 pm (PM2.5).
[0048] In embodiments, the circuitry for determining the ultraviolet index (UVI) and the geolocation-specific pollutant level (e.g., 1303, 1304) includes circuitry configured to incrementally increase the UVI photopollution with incremental increases in PM2.5.
[0049] In embodiments, the circuitry for determining the ultraviolet index (UVI) and the geolocation-specific pollutant level (e.g., 1303, 1304) includes circuitry configured to determine UVI photopollution according to:
[0050] IUVphotopMu(ion = IUV + A*(IUV*MP)
[0051] in which: A is a weighted factor based on an approximate biological dose of particulate matter in an environment; (IUV * MP) is an IUV pollution factor; IUV is the UV index; and MP is an ambient air concentration of PM2.5 in the environment in
[0052] In embodiments, circuitry (e.g., 1302, 1305, 1306) for communicating the associated exposure risk of the skin condition induced by exposome to the subject comprises a graphical user interface configured to diagram one or more instances of the UVI, the geolocation-specific pollutant level and / or the UV photopollution. Non-limiting examples of graphical user interfaces are shown in [Fig.l] (e.g. 16, 17), [Fig.6], [Fig.7], [Fig.10], [Fig.l 1] and [Fig.12], and are described in more detail elsewhere in this document.
[0053] In embodiments, the circuitry (e.g., 1302, 1305, 1306) for communicating the associated exposure risk of the exposome-induced skin condition to the subject includes a graphical user interface configured to diagram an exposome history of the subject, actionable advice, a health tip, an environmental status, an environmental forecast, and / or an informational article. Non-limiting examples of graphical user interfaces are shown in [Fig.l], [Fig.6], [Fig.7].
[0054] In embodiments, the circuitry (e.g., 1302, 1305, 1306) for communicating the associated exposure risk of the exposome-induced skin condition to the subject includes the graphical user interface configured to diagram the subject's exposome history and / or the actionable guidance, and the exposome history is determined by presenting a questionnaire to the subject and receiving responses from the subject, via the circuitry for communicating (see, e.g., [Fig. 6]); or the exposome history is determined by accumulating the subject's historical locations and estimating the historical exposure levels based on the subject's historical locations (see, e.g., [Fig.7]), via the circuitry for communicating (e.g., 1302, 1305, 1306) or one or two determination circuits (e.g., 1302, 1303, 1304, 1305, 1306).
[0055] In embodiments, the circuit for communicating (e.g., 1302, 1305, 1306) the associated exposure risk of the exposome-induced skin condition to the subject includes a user feedback interface (e.g., an interface of 1302) configured to provide auditory feedback, text feedback, software application-based feedback, smartphone vibration feedback, and / or haptic feedback to the subject, and one or more feedbacks of the user feedback interface are user-selectable or customizable. The feedback interface may be implemented as a graphical user interface, as described elsewhere herein (e.g., text, software application-based), and / or may be implemented with other forms of feedback, including, but not limited to, the aforementioned forms (e.g., auditory, vibration, haptic).In embodiments, the feedback provided by the graphical user interface and / or the feedback interface corresponds to one or more severities of the exposure risk associated with the exposome-induced skin condition. For example, a . A serious risk of skin disease due to exposure may be associated with an alert or other feedback that communicates the severity of the risk, while a lower risk of skin disease due to exposure may be associated with an alert or other feedback that communicates the nature of the risk as relatively lower.
[0056] In various aspects, the exposure risk associated with the exposome-induced skin condition is communicated to the subject, via a graphical user interface, as actionable guidance to enable the subject to manage their exposure to one or more environmental pollutants or stressors, or as a recommended action for the subject to manage their exposure to one or more environmental pollutants or stressors.In embodiments, the actionable advice or recommended action is based on the result of a comparison between two or more geolocation-specific pollutant levels (e.g., a first geolocation-specific pollutant level and a second geolocation-specific pollutant level), such that the user receives information or recommendations for one or more courses of action that would minimize the user's exposure to the one or more pollutants or environmental stressors, if implemented.For example, a person receives exposure risk information from the system that corresponds to two different action plans (e.g., spending time outdoors at location A or spending time outdoors at location B) and makes informed decisions about time spent outdoors, such as which geolocations to avoid to minimize exposure risk, and which geolocations should not be avoided that may present a lower exposure risk. In this way, the system provides relevant and actionable advice or recommendations to the user and enables better exposure risk management and improved skin health.
[0057] While several different types of computing devices useful for the systems of the disclosure have been discussed above or are otherwise contemplated, an exemplary computing device 151 in [Fig. 15] depicts various elements common to many different types of computing devices. Although [Fig. 15] is described with reference to a computing device that is implemented as a device on a network, the description below is applicable to servers, personal computers, mobile phones, smartphones, tablet computers, embedded computing devices, and other devices that may be used to implement portions of the embodiments of the present disclosure.Some embodiments of a computing device may be implemented in or include an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other custom device. Furthermore, those of ordinary skill in the art and others will recognize that the . computing device 151 may be any of the devices currently available or yet to be developed.
[0058] In its most basic configuration, the computing device 151 includes at least one processor 153 and system memory 152 connected by a communications bus 156. Depending on the exact configuration and type of device, the system memory 152 may be volatile or non-volatile memory, such as read-only memory (“ROM”), random access memory (“RAM”), EEPROM, flash memory, or similar memory technology. Those of ordinary skill in the art and others will recognize that the system memory 152 generally stores data and / or program modules that are immediately accessible to and / or being operated by the processor 153. In this regard, the processor 153 may serve as the computing center of the computing device 151 by supporting the execution of instructions.
[0059] As illustrated in more detail in [Fig. 15], the computing device 151 may include a network interface 155 comprising one or more components for communicating with other devices on a network. Embodiments of the present disclosure may access basic services that employ the network interface 155 to perform communications using common network protocols. The network interface 155 may also include a wireless network interface configured to communicate via one or more wireless communication protocols, such as WiFi, 2G, 3G, LTE, WiMAX, Bluetooth, Bluetooth Low Energy, and / or the like. As will be appreciated by a person of ordinary skill in the art, the network interface 155 illustrated in [Fig.15] may represent one or more wireless interfaces or physical communication interfaces described and illustrated above with respect to particular components of the computing device 151. .
[0060] In the exemplary embodiment shown in [Fig. 15], the computing device 151 also includes a storage medium 154. However, it is possible to access services using a computing device that does not include means for persisting data on a local storage medium. Therefore, the storage medium 154 shown schematically in [Fig. 15] is represented by a dotted line to indicate that the storage medium 154 is optional. In any event, the storage medium 154 may be volatile or non-volatile, removable or non-removable, implemented using any technology capable of storing information such as, but not limited to, a hard disk drive, an SSD, a CD-ROM, a DVD or any other disk storage medium, magnetic cassettes, magnetic tape, a magnetic disk storage medium and / or the like.
[0061] Suitable implementations of computing devices that include a processor 153, a system memory 152, a communication bus 156, a storage medium 154 and a network interface 155 are known and commercially available. For ease of illustration and because it is not important to understand the claimed subject matter, [Fig. 15] does not show some of the typical components of many computing devices. In this regard, the computing device 151 may include input devices, such as a keyboard, keypad, mouse, microphone, touch input device, touchscreen, tablet, and / or the like. These input devices may be coupled to the computing device 151 by wired or wireless connections including RF, infrared, serial, parallel, Bluetooth, Bluetooth low energy, USB, or other suitable connection protocols using wireless or physical connections. Similarly, the computing device 151 may also include output devices such as a display, speakers, printer, and the like.Since these devices are well known in the art, they are not illustrated or described in further detail herein. NON-LIMITING EMBODIMENTS
[0062] Although general features of the disclosure are described and shown and particular features of the disclosure are set forth in the claims, the following non-limiting embodiments relate to features, and combinations of features, that are explicitly contemplated as part of the disclosure. The following non-limiting embodiments contain elements that are modular and may be combined with each other in any number, order, or combination to form a new non-limiting embodiment, which may itself be combined with other non-limiting embodiments.
[0063] Embodiment 1. A system configured for managing environmental exposure and associated risk of an exposome-induced skin condition of a subject, the system comprising: circuitry for determining an ultraviolet index (UVI) and a geolocation-specific pollutant level in response to one or more inputs indicative of a geolocation of the subject during a specific period, duration, or time; circuitry for determining a value of a photopollution metric (photopollution_UV) in response to one or more inputs indicative of the UVI and the geolocation-specific pollutant level, wherein the value of the photopollution metric corresponds to an associated exposure risk of the exposome-induced skin condition; and circuitry for communicating the associated exposure risk of the exposome-induced skin condition to the subject.
[0064] Embodiment 2. System according to any other embodiment, in which the circuitry for determining the ultraviolet index (UVI) and the level of pollutant specific to the geolocation comprises circuitry configured to retrieve the level of pollutant specific to the geolocation from a remote third-party server which collects and provides environmental information.
[0065] Embodiment 3. System according to any other embodiment, in which the circuitry for determining the ultraviolet index (UVI) and the pollutant level specific to the geolocation comprises circuitry configured to determine the geolocation via at least one mobile device, and in which the determination of the value of the photopollution metric is carried out by the mobile device or a server remote from the mobile device and the communication of the value of the metric is carried out by the mobile device.
[0066] Embodiment 4. A system according to any other embodiment, wherein the circuitry for determining the ultraviolet index (UVI) and the geolocation-specific pollutant level comprises circuitry configured to retrieve geolocation-specific pollutant level information associated with particulate matter having a diameter less than or equal to about 2.5 pm (PM2.5).
[0067] Embodiment 5. A system according to any other embodiment, wherein the circuitry for determining the ultraviolet index (UVI) and the geolocation-specific pollutant level comprises circuitry configured to incrementally increase photopollution / UV with incremental increases in PM2.5.
[0068] Embodiment 6. System according to any other embodiment, in which the circuitry for determining the ultraviolet index (UVI) and the level of pollutant specific to the geolocation comprises circuitry configured to determine photopollution / UV according to:
[0069] IUVphototM^
[0070] in which: A is a weighted factor based on an approximate biological dose of particulate matter in an environment; (IUV * MP) is an IUV pollution factor; IUV is the UV index; and MP is an ambient air concentration of PM2.5 in the environment in m?
[0071] Embodiment 7. A system according to any other embodiment, wherein the circuitry for communicating the associated exposure risk of the exposome-induced skin condition to the subject comprises a graphical user interface configured to diagram one or more instances of the UVI, the geolocation-specific pollutant level and / or the UV photopollution.
[0072] Embodiment 8. A system according to any other embodiment, wherein the circuitry for communicating the associated exposure risk of the exposome-induced skin condition to the subject comprises a graphical user interface configured to diagram an exposome history of the subject, actionable advice, a health tip, an environmental status, an environmental forecast, and / or an informational article.
[0073] Embodiment 9. A system according to any other embodiment, wherein the circuitry for communicating the associated exposure risk of the exposome-induced skin condition to the subject comprises the graphical user interface configured to diagram the subject's exposome history and / or the actionable advice, and wherein the exposome history is determined by presenting a questionnaire to the subject and receiving responses from the subject, via the communication circuitry; or wherein the exposome history is determined by accumulating the subject's historical locations and estimating historical exposure levels based on the subject's historical locations, via the communication circuitry or one or two determination circuitries.
[0074] Embodiment 10. A system according to any other embodiment, wherein the circuitry for communicating the associated exposure risk of the exposome-induced skin condition to the subject comprises a user feedback interface configured to provide auditory feedback, text feedback, software application-based feedback, smartphone vibration feedback, and / or haptic feedback to the subject; wherein one or more feedbacks of the user feedback interface are selectable or customizable by the user.
[0075] Embodiment 11. A system according to any other embodiment, wherein the circuitry for communicating the associated exposure risk of the exposome-induced skin condition to the subject comprises a user feedback interface configured to provide one or more feedbacks corresponding to one or more severities of the associated exposure risk of the exposome-induced skin condition.
[0076] Embodiment 12. A system according to any other embodiment, wherein a first geolocation-specific pollutant level corresponds to a first return and a first severity of the associated exposure risk of the exposome-induced skin condition; and wherein a second geolocation-specific pollutant level corresponds to a second return and a second severity of the associated exposure risk of the exposome-induced skin condition; wherein the first geolocation-specific pollutant level is different from the second geolocation-specific pollutant level and the first return differs from the second return to communicate a difference in the associated exposure risk of the exposome-induced skin condition to the subject.
[0077] Embodiment 13. A system according to any other method of use, wherein the exposure risk associated with the exposome-induced skin condition is communicated to the subject, via a graphical user interface, as actionable guidance to enable the subject to manage their exposure to one or more environmental pollutants or stressors or as a recommended action for the subject to manage their exposure to one or more environmental pollutants or stressors. national.
[0078] Embodiment 14. A system configured for managing environmental exposure and associated risk of an exposome-induced skin condition of a subject, the system comprising: circuitry for determining a geolocation-specific exposure level; circuitry for determining the associated risk of the exposome-induced skin condition based on the geolocation-specific exposure level; and circuitry for communicating the associated risk of the exposome-induced skin condition to the subject.
[0079] Embodiment 15. A system according to any other embodiment, wherein the circuitry for communicating the associated exposure risk of the exposome-induced skin condition to the subject comprises a graphical user interface configured to diagram an exposome history of the subject, actionable advice, a health tip, an environmental status, an environmental forecast, and / or an informational article.
[0080] Embodiment 16. A system according to any other embodiment, wherein the circuitry for communicating the associated exposure risk of the exposome-induced skin condition to the subject comprises the graphical user interface configured to diagram the subject's exposome history and / or the actionable advice, and wherein the exposome history is determined by presenting a questionnaire to the subject and receiving responses from the subject, via the communication circuitry; or wherein the exposome history is determined by accumulating the subject's historical locations and estimating historical exposure levels based on the subject's historical locations, via the communication circuitry or one or two determination circuits.
[0081] Embodiment 17. A system according to any other embodiment, wherein the circuitry for communicating the associated exposure risk of the exposome-induced skin condition to the subject comprises a user feedback interface configured to provide auditory feedback, text feedback, software application-based feedback, smartphone vibration feedback, and / or haptic feedback to the subject; wherein one or more feedbacks of the user feedback interface are selectable or customizable by the user.
[0082] Embodiment 18. A system according to any other embodiment, wherein the circuitry for communicating the associated exposure risk of the exposome-induced skin condition to the subject comprises a user feedback interface configured to provide one or more feedbacks corresponding to one or more severities of the associated exposure risk of the exposome-induced skin condition.
[0083] Embodiment 19. System according to any other embodiment, in which a first level of pollutant specific to geolocation corresponds to a first return and a first severity of associated exposure risk of the exposome-induced skin condition; and wherein a second geolocation-specific pollutant level corresponds to a second return and a second severity of associated exposure risk of the exposome-induced skin condition; wherein the first geolocation-specific pollutant level is different from the second geolocation-specific pollutant level and the first return differs from the second return to communicate a difference in the associated exposure risk of the exposome-induced skin condition to the subject.
[0084] Embodiment 20. A system according to any other embodiment, wherein the exposure risk associated with the exposome-induced skin condition is communicated to the subject, via a graphical user interface, as actionable guidance to enable the subject to manage their exposure to one or more environmental pollutants or stressors or as a recommended action for the subject to manage their exposure to one or more environmental pollutants or stressors.
[0085] Although illustrative embodiments have been illustrated and described, it will be appreciated that various changes may be made therein without departing from the spirit and scope of the invention.
Claims
Claims
1. A system configured for managing environmental exposure and associated risk of an exposome-induced skin condition of a subject, the system comprising: circuitry for determining an ultraviolet index (UVI) and a geolocation-specific pollutant level in response to one or more inputs indicative of a geolocation of the subject during a specific period, duration, or time; circuitry for determining a value of a photopollution metric (photopollution / UV) in response to one or more inputs indicative of the UVI and the geolocation-specific pollutant level, wherein the value of the photopollution metric corresponds to an associated exposure risk of the exposome-induced skin condition; and circuitry for communicating to the subject the exposure risk associated with the exposome-induced skin condition.
2. The system of claim 1, wherein the circuitry for determining the ultraviolet index (UVI) and the geolocation-specific pollutant level comprises circuitry configured to retrieve the geolocation-specific pollutant level from a remote third-party server that collects and provides environmental information.
3. The system of claim 1, wherein the circuitry for determining the ultraviolet index (UVI) and the pollutant level specific to the geolocation comprises circuitry configured to determine the geolocation via at least one mobile device, and wherein the determination of the value of the photopollution metric is performed by the mobile device or a server remote from the mobile device and the communication of the value of the metric is performed by the mobile device.
4. The system of claim 1, wherein the circuitry for determining the ultraviolet index (UVI) and the geolocation-specific pollutant level comprises circuitry configured to retrieve geolocation-specific pollutant level information that is associated with particulate matter having a diameter less than or equal to about 2.5 pm (PM2.5).
5. The system of claim 4, wherein the circuitry for determining the ultraviolet index (UVI) and the level of pollutant specific to Geolocation includes circuitry configured to incrementally increase photopollution / UV with incremental increases in PM2.
5.
6. The system of claim 4, wherein the circuitry for determining the ultraviolet index (UVI) and the geolocation-specific pollutant level comprises circuitry configured to determine photopollutionlUV according to: IUVp^topoUunon = IUV+A*(IUV*MP) wherein: A is a weighted factor that is based on an approximate biological dose of particulate matter in an environment; (IUV * MP) is a lUV-pollutant factor; IUV is the UV index; and MP is the ambient air concentration of PM2.5 in nv
7. The system of claim 1, wherein the circuitry for communicating the associated exposure risk of the exposome-induced skin condition to the subject comprises a graphical user interface configured to diagram one or more instances of UVI, geolocation-specific pollutant level, and / or UV photopollution.
8. The system of claim 1, wherein the circuitry for communicating the associated exposure risk of the exposome-induced skin condition to the subject comprises a graphical user interface configured to diagram an exposome history of the subject, actionable advice, a health tip, an environmental status, an environmental forecast and / or an informational article.
9. The system of claim 8, wherein the circuitry for communicating the associated exposure risk of the exposome-induced skin condition to the subject comprises the graphical user interface configured to map the subject's exposome history and / or the actionable advice, and wherein the exposome history is determined by presenting a questionnaire to the subject and receiving responses from the subject, via the communication circuitry; or wherein the exposome history is determined by accumulating historical locations of the subject and estimating historical exposure levels based on the historical locations of the subject, via the communication circuitry or one or two determination circuits.
10. The system of claim 1, wherein the circuitry for communicating the associated exposure risk of the exposome-induced skin condition to the subject comprises a user feedback interface configured to provide auditory feedback, text feedback, software application-based feedback, smartphone vibration feedback, and / or haptic feedback to the subject; wherein one or more feedbacks of the user feedback interface are selectable or customizable by the user.