METHODS FOR ENVIRONMENTAL EXPOSURE METRICS BASED ON SKIN SCIENCE AND GEOLOCATION

Abstract

METHODS FOR GEOLOCATION-BASED SKIN SCIENCE-BASED ENVIRONMENTAL EXPOSURE METRICS Methods for communicating the risk of skin conditions due to exposure to sunlight and environmental conditions to individuals. These methods leverage geolocation and environmental data to provide guidance and enable consumers to make informed decisions regarding outdoor activities, healthcare, and skincare. A photopollution metric is a function of the ultraviolet index (UVI) and the level of a pollutant such as particulate matter (PM) and allows for the communication of an individual's risk of exposome-induced skin conditions based on environmental exposure. Figure for abstract: none

Description

Title of Invention: METHODS FOR GEOLOCATION-BASED SKIN SCIENCE-BASED ENVIRONMENTAL EXPOSURE METRICS ABSTRACT

[0001] In one aspect, the disclosure provides a method for managing environmental exposure and associated risk of an exposome-induced skin condition of a subject, the method comprising: 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; 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 communicating the associated exposure risk of the exposome-induced skin condition to the subject.

[0002] In one aspect, the disclosure provides a method for managing environmental exposure and associated risk of an exposome-induced skin condition of a subject, the method comprising: 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.

[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 (UVIphoto pollution) 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 (IUVphotOpOiiution) based on IUV 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, IUVphotOpOiiution) 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 example of a calculation system in an example configuration to be used by a user to view the 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, soot, dust, dirt, etc.), air pollutant gases (NO2, SO2, CO), solar energy, and pollen particles (tree, grass, and weed pollens, etc.) 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 for managing exposure to harmful UV radiation and the associated risk of skin damage or disease, 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 the skin. Such a metric could be used as an input to advice or recommendations. beauty or skincare mandates, 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 the obtention of new composite metrics that are relevant to skin health, such as pollution-solar radiation synergy, a new metric for communicating the risk of skin conditions based on environmental exposure. In embodiments, a metric is based on UVI 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] In one embodiment, the disclosed technologies and methodologies are designed and configured to determine an exposure risk, an exposure severity, an exposure mitigation protocol associated with an exposome-induced skin condition based on a deviation of a determined ultraviolet index (UVI), a geolocation-specific pollutant level, and a photometric measurement (IUVphotOpOiiution) from a reference condition. In one embodiment, the system is designed to determine an exposure risk, an exposure severity, an exposure mitigation protocol associated with an exposome-induced skin condition based on a degree of deviation of a determined ultraviolet index (UVI), a geolocation-specific pollutant level, and a photometric measurement (IUVphotOpOiiution) from a reference condition.

[0024] [Fig.l] schematically illustrates an example of determining the geolocation of a subject by at least one mobile device, which includes generating an estimate of pollution values ​​as determined by an organization that collects and provides environmental exposure information as a service, and communicating a photopollution metric (IUVPhOtOpOiiution) as a function of the UV index (IUV) and the level of a pollutant.

[0025] 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-based 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 the exploitation of a complete set of environmental data. In the embodiments shown, particulate matter is exploited as the environmental pollutant, but other pollutants may be used in one embodiment. PM2.5 levels correspond to levels of particulate matter with a diameter less than or equal to about 2.5 pm, and PM10 levels correspond to levels of particulate matter with a diameter less than or equal to about 10 pm.

[0026] 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.

[0027] [Fig. 3] schematically outlines an overview of a method for formulating photopollution metric (IUVphotOpOiiution) based on IUV 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 (IUV) linear regression model 32, in which IUV, pollutant level and an IUV pollutant factor are weighted factors in the IUV linear regression model. The IUV 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 IUV-pollutant factor. Once the weights for IUV, MP, and the IUV pollution factor (A) are determined, the photopollution metric is determined. 34.

[0028] 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 PM in the skin to obtain 46 the photopollution metric.

[0029] 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.

[0030] [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.

[0031] Referring now to [Fig. 5], there is shown a graph 51 of a photopollution metric (y-axis, IUVphotOpOiiution) 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 (IUV). The IUVphotOpOiiution metric increases with increasing PM2.5, and in particular, the IUVphotOpOiiution metric increases incrementally with incremental increases in PM2.5.

[0032] 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 a subject's readings and estimate the subject's exposure to environmental pollutants to provide actionable advice to the subject on healthcare, skin care, and / or outdoor activities ([Fig.7]), and several other examples of using the metric for consumer applications ([Fig.8]).

[0033] An example onboarding process, as shown in [Fig. 6], includes steps in which an individual begins 61 an onboarding service and the individual completes 62 an initial questionnaire about current and / or past geolocation information. The questionnaire questions may relate to, for example, current and / or past home and / or work locations. The system then estimates 63 the individual's historical exposures using the metric and the individual may then view 64 their baseline exposure metrics and receive actionable advice or recommendations on how to best use this information, such as by modifying their commute or outdoor exposure.

[0034] 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 disclosure methods. The individual may then receive actionable and relevant advice 74 in the form of the metric, possibly combined with other environmental data.

[0035] 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.

[0036] Referring now to Figures 10-12, there is shown an example of 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 of a diagnostic process that leverages a questionnaire for exposome analysis, analysis of imper fections and analysis of a subject's skin aging ([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]).

[0037] As shown in [Fig. 10], an exemplary software application (e.g., "FaceFacts") may provide an "exposome"-driven habit coaching service to beauty consumers. The service may include providing a comprehensive snapshot of exposures to the individual, providing powerful, personalized, and actionable insights to the individual, and providing a plurality of other features 1001 such as skin predictions, immediate alerts, exposure reports, and data-driven recommendations for improving health and skin care. In this manner, the individual may make informed health and skin care decisions.

[0038] 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.

[0039] 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.

[0040] Referring now to [Fig. 13], there is shown an exemplary computer system 1301 in an exemplary configuration for use by a user to vi perform 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 APIs. 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.

[0041] 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.

[0042] As used herein, the term "method" refers to a plurality of steps for performing an activity or producing a result or effect according to the disclosure. The methods may be fully or partially manual, fully or partially semi-automated, or fully or partially automated, in any degree or combination thereof. Semi-automated and automated methods may be performed in whole or in part by one or more systems of the disclosure.

[0043] 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.

[0044] 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.

[0045] As shown in [Fig. 13], in embodiments, a system 1301 is configured to manage environmental exposure and associated risk of a condition of the 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.

[0046] 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 time; circuitry (e.g., 1302, 1304, 1305, 1306) for determining a value of a photopollution metric (photopollutionlUV) in response to one or more 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.

[0047] 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.

[0048] 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).

[0049] 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 associated with particulate matter. having a diameter less than or equal to approximately 2.5 pm (MP2.5).

[0050] 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.

[0051] 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:

[0052] IUVphotopolhttion = IUV + A*(IUV*MP)

[0053] 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 ÜS.

[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 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.11], and [Fig.12], and are described in more detail elsewhere herein.

[0055] 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, health advice, environmental status, environmental forecast, and / or information. Non-limiting examples of graphical user interfaces are shown in [Fig.l], [Fig.6], [Fig.7].

[0056] 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 historical exposure levels based on the subject's historical locations (see, e.g., [Fig. 7]), via the circuitry for communicate (e.g., 1302, 1305, 1306) or one or two determination circuits (e.g., 1302, 1303, 1304, 1305, 1306).

[0057] 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 severe risk of skin condition due to exposure may be associated with an alert or other feedback that communicates the severity of the risk, while a lower risk of the skin condition due to exposure may be associated with an alert or other feedback that communicates the nature of the risk as relatively lower.

[0058] 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, an individual receives exposure risk information from the system that corresponds to two different courses of action (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 can . present a lower risk of exposure. In this way, the system provides relevant and actionable advice or recommendations to the user and enables better management of exposure risk and improved skin health.

[0059] 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.

[0060] 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.

[0061] 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 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.

[0062] 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.

[0063] Suitable implementations of computing devices that include a processor 153, 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, a 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

[0064] 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 embodiments. non-limiting achievements.

[0065] Embodiment 1. A method for managing environmental exposure and associated risk of an exposome-induced skin condition of a subject, the method comprising: 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; 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 communicating the associated exposure risk of the exposome-induced skin condition to the subject.

[0066] Embodiment 2. A method according to any other embodiment, wherein determining the ultraviolet index (UVI) and the geolocation-specific pollutant level comprises retrieving the geolocation-specific pollutant level from a remote third-party server that collects and provides environmental information.

[0067] Embodiment 3. Method according to any other embodiment, in which the determination of the ultraviolet index (UVI) and the pollutant level specific to the geolocation comprises the determination of 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.

[0068] Embodiment 4. A method according to any other embodiment, wherein determining the ultraviolet index (UVI) and the geolocation-specific pollutant level comprises retrieving 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).

[0069] Embodiment 5. A method according to any other embodiment, wherein determining the ultraviolet index (UVI) and the geolocation-specific pollutant level results in UVI photopollution increasing incrementally with incremental increases in PM2.5.

[0070] Embodiment 6. Method according to any other embodiment, in which the determination of the ultraviolet index (UVI) and the level of pollutant specific to the geolocation comprises the determination of photopollution / UV according to:

[0071] IUVphotopM^

[0072] in which: A is a weighted factor based on an approximate biological dose of particulate matter in an environment; (IUV * MP) is a pollution factor IUV; IUV is the UV index; and PM is an ambient air concentration of PM2.5 in the environment in US. HP

[0073] Embodiment 7. A method according to any other embodiment, wherein communicating the associated exposure risk of the exposome-induced skin condition to the subject occurs via a graphical user interface configured to diagram one or more instances of the IUV, the geolocation-specific pollutant level, and / or the IUVphotOpOiiution.

[0074] Embodiment 8. A method according to any other embodiment, wherein communicating about the associated exposure risk of the exposome-induced skin condition comprises generating one or more instances indicative of an exposure history of the subject, an exposure risk of the exposome-induced skin condition to the subject, a severity measure of the exposure risk of the exposome-induced skin condition to the subject, a user-selectable menu including one or more actionable risk mitigation actions, a health tip, an environmental status, an environmental forecast, and / or information on a graphical user interface.

[0075] Embodiment 9. A method according to any other embodiment, wherein communicating the associated exposure risk of the exposome-induced skin condition to the subject occurs via the graphical user interface configured to map the subject's exposome history and / or the actionable guidance, and wherein the exposome history is determined by presenting a questionnaire to the subject and receiving responses from the subject; 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.

[0076] Embodiment 10. A method according to any other embodiment, wherein communicating the associated exposure risk of the exposome-induced skin condition to the subject occurs via 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.

[0077] Embodiment 11. A method according to any other embodiment, wherein communicating the associated exposure risk of the exposome-induced skin condition to the subject occurs via 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.

[0078] Embodiment 12. Method according to any other embodiment, in which 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.

[0079] Embodiment 13. A method 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 for 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.

[0080] Embodiment 14. A method of managing environmental exposure and associated risk of an exposome-induced skin condition of a subject, the method comprising: 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.

[0081] Embodiment 15. A method according to any other embodiment, wherein communicating the associated exposure risk of the exposome-induced skin condition to the subject occurs via 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 information.

[0082] Embodiment 16. A method according to any other embodiment, wherein communicating the associated exposure risk of the exposome-induced skin condition to the subject occurs via the graphical user interface configured to map the subject's exposome history and / or the actionable guidance, and wherein the exposome history is determined by presenting a questionnaire to the subject and receiving responses from the subject; 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.

[0083] Embodiment 17. A method according to any other embodiment, wherein communicating the associated exposure risk of the exposome-induced skin condition to the subject occurs via 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.

[0084] Embodiment 18. A method according to any other embodiment, wherein communicating the associated exposure risk of the exposome-induced skin condition to the subject occurs via 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.

[0085] Embodiment 19. A method 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.

[0086] Embodiment 20. A method 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 for 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.

[0087] 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.

[0088] Embodiments of the invention in which an exclusive property or privilege is claimed are defined in the claims.

Claims

Claims

1. A method of managing environmental exposure and associated risk of an exposome-induced skin condition of a subject, the method comprising: 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 at a time; determining a value of a photopollution metric (photopollutionlUV) 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 communicating to the subject the exposure risk associated with the exposome-induced skin condition.

2. The method of claim 1, wherein determining the ultraviolet index (UVI) and the geolocation-specific pollutant level comprises retrieving the geolocation-specific pollutant level from a remote third-party server that collects and provides environmental information.

3. The method of claim 1, wherein determining the ultraviolet index (UVI) and the geolocation-specific pollutant level comprises determining the geolocation via at least one mobile device, and wherein determining the value of the photopollution metric is performed by the mobile device or a server remote from the mobile device and communicating the value of the metric is performed by the mobile device.

4. The method of claim 1, wherein determining the ultraviolet index (UVI) and the geolocation-specific pollutant level comprises retrieving 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 method of claim 4, wherein determining the ultraviolet index (UVI) and the geolocation-specific pollutant level results in UVI photopollution increasing incrementally with incremental increases in PM2.

5.

6. The method of claim 4, wherein determining the ultraviolet index (UVI) and the geolocation-specific pollutant level includes the determination of photopollutionlUV according to: IUVpholopollutim = IU V + A*(IUV*MP) in which: 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 El. HP

7. The method of claim 1, wherein communicating the associated exposure risk of the exposome-induced skin condition to the subject occurs via a graphical user interface configured to diagram one or more instances of the IUV, the geolocation-specific pollutant level, and / or the IUVPhOtOpOiiution-

8. The method of claim 1, wherein communicating about the exposure risk associated with the exposome-induced skin condition comprises generating one or more instances indicative of an exposure history of the subject, an exposure risk of the exposome-induced skin condition, a severity measure of the subject's exposure risk of the exposome-induced skin condition, a user-selectable menu including one or more actionable risk mitigation actions, a health tip, an environmental status, an environmental forecast, and / or information on a graphical user interface.

9. The method of claim 8, wherein communicating the associated exposure risk of the exposome-induced skin condition to the subject occurs via 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; 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.

10. The method of claim 1, wherein communicating about the risk of exposure associated with a skin condition induced by the exposure is via a user feedback interface configured to provide one or more feedbacks corresponding to one or more severities of exposure risk associated with the exposure-induced skin condition wherein a first geolocation-specific pollutant level corresponds to a first feedback 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 feedback 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 feedback differs from the second feedback to communicate a difference in the associated exposure risk of the exposome-induced skin condition to the subject.