WO2019100160A1 - Device and method for the dynamic personalization of chemical consumption - Google Patents

Abstract

There is provided vaporizer devices for dispensing chemical dosages, methods to generate formulas for the chemical dosages for a wellness objective, methods to classify cannabis, and a machine vision classifier. One vaporizer device comprises two or more cartridges connected to a heating chamber, each cartridge holding a different chemical powder, and a microprocessor for controlling valves associated with each cartridge such that amounts of each chemical powder are dispensed to the heating chamber based on a formula. Another vaporizer device comprises a removable cartridge connected to a heating chamber, and a microprocessor for controlling a valve associated with the cartridge such that the chemical powder is dispensed to the heating chamber. The removable cartridge holding a combination of chemical powders. A plurality of removable cartridges may each comprise different formulas of chemical powder.

Description

DEVICE AND METHOD FOR THE DYNAMIC

PERSONALIZATION OF CHEMICAL CONSUMPTION

CROSS-REFERENCE TO RELATED APPLICATIONS

[0001] This application claims all benefit, including priority, to United States

Provisional Patent Application 62/590,336, filed November 23, 2017, and entitled:“System for the Dynamic Personalization of Vitamin and Supplement Consumption,” which is hereby incorporated by reference in its entirety.

FIELD

[0002] This invention relates to consumption of vitamins, supplements and cannabis, and to devices and methods for the dynamic personalization of medicinal and/or chemical consumption.

BACKGROUND

[0003] The global market for dietary supplements and vitamins is large and growing.

Estimates place the size of the market at USD 132.8 billion in 2016, with a projected compounding annual growth rate of 8% year-over-year between 2017 to 2022, reaching USD 220.3 billion by 2022. Largely driving this growth is the consumer demand for

personalization. Consumers, manufacturers, and distributors understand that optimal supplement intake is variable, and dependent on the intrinsic characteristics of an individual (age, gender, etc.), as well as the dynamic fluctuations in the environment and behaviors of said individual (diet, exercise, location, etc.).

[0004] The current state of the art has taken steps to personalize supplement intake for the former, but continues to lag with respect to the latter. Specialized supplements have been created for women, men, the young, and the old; however, these specialized supplements do not adequately consider the dietary, exercise, and geographical trends of the individuals that consume them. [0005] Attempts have been made to solve this issue with the help of questionnaires and similar tools to personalize formulations for the lifestyles of consumers. Such questionnaires may inquire as to the geographic location of an individual, their dietary habits, and their frequency of exercise - using these inputs to determine the allocation of various formulations. This however, betrays the dynamic nature of diet, exercise, and location.

[0006] It is desirable to tailor the intake of medicine, vitamins or chemicals (including cannabis) to users.

SUMMARY

[0007] In accordance with an aspect, there is provided a vaporizer device for dispensing chemical dosages. The device comprises two or more cartridges connected to a heating chamber, each cartridge holding a different chemical powder, and a microprocessor for controlling valves associated with each cartridge such that amounts of each chemical powder are dispensed to the heating chamber based on a formula.

[0008] In accordance with another aspect, there is provided a method for dispensing chemical dosages. The method comprises holding a different chemical powder in two or more cartridges of a vaporizer device, and controlling, via a microprocessor of the vaporizer device, valves associated with each cartridge such that amounts of each chemical powder are dispensed to a heating chamber connected to the cartridges. The amount of each chemical powder dispensed based on a formula.

[0009] In accordance with another aspect, there is provided a vaporizer device for dispensing chemical dosages. The device comprises a removable cartridge connected to a heating chamber, and a microprocessor for controlling a valve associated with the cartridge such that the chemical powder is dispensed to the heating chamber. The removable cartridge holding a combination of chemical powders. A plurality of removable cartridges may each comprise different formulas of chemical powder.

[0010] In accordance with another aspect, there is provided a method for dispensing chemical dosages. The method comprises holding a combination of chemical powders in a removable cartridge of a vaporizer device, and controlling, via a microprocessor of the vaporizer device, valves associated with the cartridge such that the chemical powder is dispensed to a heating chamber connected to the cartridge. A plurality of removable cartridges may each comprise different formulas of chemical powder.

[0011] In accordance with another aspect, there is provided a system for generating formulas for a wellness objective based on a classification system of cannabis strains. The classification system is based on Tetrahydrocannabinol (THC) and Cannabidiol (CBD) content of each strain. The system comprises a processor, and a memory comprising a sequence of instructions which, when executed by the processor, configure the processor to receive an input from a user for a wellness objective, determine a formula based on the wellness objective, and communicate the formula via a mobile user interface.

[0012] In accordance with another aspect, there is provided a system for the automated and individualized delivery of chemical dosages on the basis of biometric and/or demographic information collected through a mobile device.

[0013] In accordance with another aspect, there is provided a machine vision classifier comprising a processor and a memory storing instructions that when executed by the processor configure the processor to receive a name of a cannabis, determine a strain classification for the cannabis, and output the strain classification.

[0014] In various further aspects, the disclosure provides corresponding systems and devices, and logic structures such as machine-executable coded instruction sets for implementing such systems, devices, and methods.

[0015] In this respect, before explaining at least one embodiment in detail, it is to be understood that the embodiments are not limited in application to the details of construction and to the arrangements of the components set forth in the following description or illustrated in the drawings. Also, it is to be understood that the phraseology and terminology employed herein are for the purpose of description and should not be regarded as limiting.

[0016] Many further features and combinations thereof concerning embodiments described herein will appear to those skilled in the art following a reading of the instant disclosure. DESCRIPTION OF THE FIGURES

[0017] Embodiments will be described, by way of example only, with reference to the attached figures, wherein in the figures:

FIG. 1 illustrates, in a component diagram, an example of one type of a standard vaporizer;

FIG. 2 illustrates, in a schematic diagram, an example of a vaporizer device, in accordance with some embodiments;

FIG. 3A illustrates, in a schematic diagram, another example of a vaporizer device, in accordance with some embodiments;

FIG. 3B illustrates, in a schematic diagram, another example of a vaporizer device, in accordance with some embodiments;

FIG. 3C illustrates, in a schematic diagram, another example of a vaporizer device, in accordance with some embodiments;

FIG. 4 illustrates, in a flowchart, an example of a method of dispensing chemical dosages, in accordance with some embodiments;

FIG. 5 illustrates, in a flowchart, an example of a method of dispensing chemical dosages, in accordance with some embodiments;

FIG. 6 illustrates, in a schematic diagram, another example of a vaporizer device, in accordance with some embodiments;

FIG. 7 illustrates, in a schematic diagram, an example of a two-way communication between a mobile device and a Bluetooth linked vaporizer, in accordance with some embodiments;

FIG. 8A illustrates, in a flowchart, an example of a method of classifying strains with a standard nomenclature on the basis of the THC and CBD content of the strain, in accordance with some embodiments; FIG. 8B illustrates, in a flowchart, another example of a method of classifying strains with a standard nomenclature on the basis of the THC and CBD content of the strain, in accordance with some embodiments;

FIGs. 9A and 9B illustrate, in flowcharts, examples of a method of generating a strain formula, in accordance with some embodiments;

FIG. 10 illustrates, in a flowchart, another example of a method of generating a strain formula, in accordance with some embodiments;

FIG. 11 illustrates, in a screenshot, an example of the collection of user-inputted information through a mobile device, in accordance with some embodiments;

FIG. 12 illustrates, in a screenshot, an example of the collection of biometrics user information directly from the device, in accordance with some embodiments;

FIG. 13 illustrates, in a screenshot, the storing to a database of user-inputted information and device-collected information, in accordance with some embodiments;

FIG. 14 depicts the testing of a suggestion of a pain relief formula to a multitude of users, in accordance with some embodiments;

FIG. 15 illustrates a process of self-improvement in the classification system, in accordance with some embodiments;

FIG. 16 illustrates the suggestion of a pain relief formula incorporating the changes to the classification system and accounting for previously observed side effects, in accordance with some embodiments;

FIG. 17 illustrates an example of an interface for a machine vision mobile application that scans strain names and classifies them within a classification system;

FIG. 18 illustrates an example of a process of scanning a product for the purpose of classifying the product into a classification system, in accordance with some embodiments; FIG. 19 illustrates an example of the presentation of strain information through a mobile interface, in accordance with some embodiments;

FIG. 20 illustrates an example of the segmentation of a multivitamin into constituent parts, in accordance with some embodiments;

FIG. 21 illustrates an example of the segmentation of Vitamin D into reduced portions to affect an individual’s ability to consume variable volumes of Vitamin D, in accordance with some embodiments;

FIG. 22 illustrates an example of the segmentation of Magnesium into reduced portions to affect an individual’s ability to consume variable volumes of Magnesium, in accordance with some embodiments;

FIG. 23 illustrates an example of the segmentation of Omega-3 into reduced portions to affect an individual’s ability to consume variable volumes of Omega-3, in accordance with some embodiments;

FIG. 24 illustrates an example of the segmentation of a bottle of multivitamin into three separate bottles composed of the specifications and segmentations;

FIG. 25 illustrates an example of a box containing a multitude of bottles described in FIG.

24

FIG. 26 illustrates an example of variable dosages of Vitamin D for otherwise identical individuals, in accordance with some embodiments;

FIG. 27 illustrates an example of a user interface, in accordance with some embodiments.

FIG. 28 illustrates an example of an input method for the determination of vitamin intake, in accordance with some embodiments;

FIG. 29 illustrates an example of how variations in input variables impacts suggested vitamin intake, in one embodiment; FIG. 30 illustrates an example of how variations in input variables impacts suggested vitamin intake, in one embodiment.

FIG. 31 illustrates an example of the introduction of demographic input variables into the intake method, in accordance with some embodiments;

FIG. 32 illustrates examples of variations in the demographic input variables in one embodiment;

FIG. 33 illustrates an example of an intake method component for the purpose of determining Vitamin D intake on any given day, in accordance with some embodiments;

FIG. 34 illustrates an example of an intake method component for the purpose of determining Magnesium intake on any given day, in accordance with some embodiments;

FIG. 35 illustrates an example of a vitamin intake suggestion utilizing an example intake algorithm, in accordance with some embodiments;

FIG. 36 illustrates an example of a vitamin intake suggestion utilizing an example intake method, in accordance with some embodiments; and

FIG. 37 illustrates, in a block schematic diagram, an example of a computing device, according to some embodiments.

[0018] It is understood that throughout the description and figures, like features are identified by like reference numerals.

DETAILED DESCRIPTION

[0019] Embodiments of methods, systems, and apparatus are described through reference to the drawings.

[0020] Over the past several years, cannabis and cannabis-related products have become increasingly diffused across the United States and around the world - both medicinally and recreationally - and this trend is expected to continue. Currently, 33 states have legalized marijuana for medicinal purposes, and 11 states have legalized marijuana recreationally. Nevertheless, the consumer market for cannabis remains staggered, unreliable, and fraught with misinformation. In states where cannabis is legal, consumers will typically have thousands - perhaps tens of thousands - of strains to choose from. These strains each contain varying levels of Tetrahydrocannabinol (THC) and Cannabidiol (CBD).

[0021] For any particular strain, the mix and relative preponderance of THC and CBD content constitutes the primary determinant of the pyscho-physiological impacts on the individual consuming the product. The chemical content therefore regulates (1) the health and wellness benefits derived as a consequence of consumption, (2) the undesirable side-effects as a consequence of consumption, and (3) any temporary alterations in state of mind and/or consciousness - colloquially referred to as a“high” - experienced as a consequence of consumption. As it pertains specifically to the wellness benefits arising from cannabis use, optimal chemical composition will be variable along different wellness segments and the individual’s idiosyncratic needs and predispositions. For instance, cannabis consumption may play a role in reducing pain and inflammation, attenuating stress and anxiety, and functioning as a sleep aid. Optimal chemical compositions will vary accordingly.

[0022] An individual seeking to reduce ongoing pain or inflammation may be optimally situated for a strain with a 1:2 ratio of THC to CBD content - that is, a strain with twice the amount of CBD relative to THC. By contrast, an individual seeking to attenuate chronic anxiety may be best suited for a strain with a 1 : 10 ratio of THC to CBD - that is, a strain with 10 times the amount of CBD relative to THC. Moreover, as with any complex system, cannabis consumption in a vacuum does not constitute the optimal format for yielding its potential benefits. In the same manner that exercise alone - absent an

accompanying healthy diet - will be found wholly insufficient as a vehicle for ameliorating health outcomes, cannabis consumption alone, in many instances, is insufficient to unlock its potential benefits. Rather, cannabis consumption should be paired with other actions or activities - such as exercise - in order to yield the best results for health-minded consumers.

[0023] From this perspective however, cannabis-use for health and wellness presents a substantially more complex challenge as compared to diet and exercise or the consumption of vitamins and supplements. From a physiological perspective, cardiovascular exercise, e.g., running and swimming, correlates to positive health outcomes across the population. Similarly, the bioactivity of Vitamin D - and its general biological impacts - are consistent across populations, albeit with minor variations as a consequence of genetic variability. Cannabis, in contrast, will manifest itself differently in relation to the demographics and peculiarities of the consuming individual. This is compounded by a broad scope of chemical variability, creating an untenable consumer market; one where consumers may neither reliably estimate the health benefits of consumption, nor predictively and consistently attenuate for the negative impacts of consumption.

[0024] Where chemical composition is variable, and cannabis-response is distinctive of the individual or group of individuals, dosage becomes an equally pronounced challenge for the industry. Analogous to other consumables - particularly those with psychoactive compounds and delayed onset - the dosage of the intake will inevitably impact the experience of the individual. For cannabis, this presents a challenge. Even if a consumer identifies a strain with an optimal chemical composition to assist with their wellness goal, consuming too modest a dose may be insufficient for yielding the benefits. Similarly, consuming too great a dose may cause the onset of a plurality of negative side-effects, including dry mouth and poor sleep. Optimal dosage will be dependent on a multitude of factors, including but not limited to, the desired outcome of consumption, and the demographics of the individual in question, e.g., age, gender, weight, etc.

[0025] In its current state, the industry is characterized by a near ubiquitous asymmetry of information and a pronounced absence of personalization. First, with thousands of available strains, consumers are ill-equipped to reliably ascertain the content of an individual strain and its associated wellness value and potential risk. Second, the industry lacks the ability to cater to the particularities of individuals, thus creating a disjointed experience for consumers, while magnifying the risk-profile of partaking.

[0026] FIG. 1 illustrates, in a schematic diagram, an example of one type of a standard design for a vaporizer 100, including a removable cartridge 102 to hold a powder, such as cannabis powder. The cartridge 102 connects to a heating chamber 104. The heat is controlled by a microprocessor 106, which controls the temperature and vaporizes the powder through a connected heater or coil 108. The device 100 is powered by a battery 110 - typically a lithium ion battery. At the tip of the device 100 is a light-emitting diode (LED) light 112 that is activated with every inhalation. [0027] FIG. 2 illustrates, in a schematic diagram, an example of a vaporizer device

200, in accordance with some embodiments. The device 200 comprises a removable external cartridge 202 having two or more individual cartridges (or chambers) 222 to hold powder, and corresponding two or more release valves 224. The cartridges 222 may each hold the same type of powder or different powders. The removable external cartridge 202 (and/or each individual cartridge 222) connects to a heating chamber 204. A wireless chip 226 (e.g., a Bluetooth chip) may be associated with a microprocessor 206 (e.g., incorporated as part of the microprocessor 206, or communicably coupled with the microprocessor 206 for example on a circuit), which enables communication between the vaporizer device 200 and a mobile device. The heat is controlled by the microprocessor 206, which regulates the temperature and vaporizes the powder through a connected heater or coil 208. Other components may be added to the device 200, such as a power source 210 (e.g., a lithium ion or other battery), and an LED light 212 that is activated with inhalation.

[0028] In some embodiments, different amounts of each powder may be dispensed into the chamber based on a formula. The microprocessor 206 may include a memory for storing formulas. The microprocessor 206 may also receive formals from an external device (such as a mobile device) via the wireless chip 226. The microprocessor may activate the release valves 224 for each individual cartridge 222 to release an optimal amount of each powder based on the formula.

[0029] FIG. 3A illustrates, in a schematic diagram, another example of a vaporizer device 300, in accordance with some embodiments. The device 300 comprises an external cartridge 302 having three individual cartridges 322, a heating chamber 304, the heating coil 208, the microprocessor 206 and wireless chip 226. The cartridges 302 or the platforms on which they may be placed in the vaporizer device 300 may be labelled to differentiate them from one another. For example, one cartridge may be labelled“A” and another may be labelled“B”, or one may be labelled“1” and another may be labelled“2”. In a

commercialized product, the cartridge labels may match the formula nomenclature. In the example of FIG. 3A, the individual cartridges 322 are labelled“A”,“B” and“C” for ease-of- use and consistency between the vaporizer device 300 and a mobile application.

[0030] Control of the cartridge valves may be performed via pre-set inputs on the microprocessor 206. In some embodiments, a formula for the powder combination may be set directly on the vaporizer device 300. This may be performed with pre-set formulas stored in a memory on the device 300. The selection process of the formula may be performed onboard the device 300 or via wireless communication (e.g., Bluetooth). For example, adjustable setting prompts 330 or switches may be display or connected to the heating chamber 304. In the example of FIG. 3A, settings between 0 to 5 are shown. It should be understood that other ranges may be used. The example shows a prompt corresponding to individual cartridge A is set to 3, a prompt corresponding to individual cartridge B is set to 1, and a prompt corresponding to individual cartridge C is set to 0. These settings correspond to a formula that requires 3 parts of the powder in cartridge A and 1 part of the powder in cartridge B.

[0031] In some embodiments, the formula for the powder combination may be provided by an external device to the vaporizer device 300 via wireless communication. For example, an application on a device may provide a user interface that mimics prompts 330 corresponding to amounts of powder to be dispensed form the individual cartridges.

[0032] In some embodiments, the formulas may be presented in a descriptive manner rather than a numerical or formulaic manner. For example, formulas may be set onboard or via an external device. FIG. 3B illustrates, in a schematic diagram, another example of a vaporizer device 350, in accordance with some embodiments. In the example of FIG. 3B, the onboard prompt 340 shows settings of“Pain”,“Energy”,“Stress” and“Sleep” wellness outcomes. In some embodiments, a wellness outcome setting may be associated with a pre set formula for the individual cartridges 322. It should be understood that other descriptive names may be provided for the same or other wellness outcomes.

[0033] FIG. 3C illustrates, in a schematic diagram, another example of a vaporizer device 370, in accordance with some embodiments. In the example of FIG. 3C, the prompt 340 is now coming from an external device 390 wirelessly communicating with the vaporizer

370.

[0034] In some embodiments, a vaporizer device for dispensing chemical dosages may comprise a single removable cartridge pod connected to the heating chamber, the single removable cartridge pod holding a combination of chemical powders. A microprocessor for controlling a valve associated with the cartridge may control how much chemical powder is dispensed to the heating chamber. There may be a plurality of removable cartridge pods available to users for different formula. Users may then change or replace the pods based on a formula recommendation for their wellness objective.

[0035] FIG. 4 illustrates, in a flowchart, an example of a method 400 of dispensing chemical dosages, in accordance with some embodiments. The method 400 may be performed by a vaporizer device 200, 300, 350, 370. The method 400 comprises holding 402 a different chemical powder in two or more individual cartridges 322, and controlling 404, via a processor such as the microprocessor 206, valves 324 associated with each individual cartridge 322 such that amounts of each chemical powder are dispensed to the heating chamber 304 connected to the individual cartridges 322. The amount of each chemical powder dispensed is based on a formula combination of the chemical powders. Other steps may be added to the method 400.

[0036] FIG. 5 illustrates, in a flowchart, an example of a method 500 of dispensing chemical dosages, in accordance with some embodiments. The method 500 may be performed by a processor such as the microprocessor 206. The method 500 comprises obtaining 502 a formula, and activating 504 the valves 324 of each individual cartridge 322 to dispense an amount of powder held in the individual cartridge 322 into a heating chamber 304. The formula may be obtained from an external device 390 via a wireless communication with the microprocessor 206. The formula may also be pre-set in a memory associated with the microprocessor 206. Other steps may be added to the method 500.

[0037] FIG. 6 illustrates, in a schematic diagram, another example of a vaporizer device 600, in accordance with some embodiments. The device 600 comprises the removable cartridge 302, individual cartridges 322 with valves 324, the heating chamber 304, heating coil 208, microprocessor 206 with wireless connectivity 226, and a fingertip pulse oximeter 620. The fingertip pulse oximeter 620 may measure a health metric of a user during a session with the vaporizer device 600. The health metric may be communicated to an external device via the wireless communication component 226. For example, elevated heart rate, diminished heart rate variability and/or altered respiration rate variability may each be derived from pulse oximetry. Such items may be proxy indicators of negative side-effects of cannabis usage.

Said information may be employed to optimize both dosage and formula on a personal (for the user) and population (for all users) level scale. [0038] FIG. 7 illustrates, in a schematic diagram, an example of a two-way communication 710 between a mobile device 390 and a Bluetooth linked vaporizer 700, in accordance with some embodiments. The mobile device 720 may communicate an optimal formula to the vaporizer 700, which activates the release valves 324, thus depositing the formula into the heating chamber 704. The user’s response to the session, including heart rate collected from the fingertip pulse oximeter 620, may be communicated back to the mobile device 390. The information may then be stored to a database 730 and used to generate future formulas for optimal response and minimal side-effects.

[0039] In some embodiments, the individual cartridges 322 may hold different strains of cannabis. Different strains of cannabis may comprise different chemicals that may cause different side-effects on different users. Table 1 shows a sample of strains with varying levels of THC and CBD concentration:

Table 1: Sample strains with varying levels of THC and CBD concentration

[0040] FIG. 8A illustrates, in a flowchart, an example of a method 800 of classifying strains with a standard nomenclature on the basis of the THC and CBD content of the strain, in accordance with some embodiments. The method 800 comprises determining 802 the ratio of THC and CBC concentration. If 804 the ratio is greater than 10, then the strain is classified 806 as“Group A”. If 808 the ratio is greater than 0.3 and less than 10, then the strain is classified 810 as“Group B”. If 812 the ratio is less than 0.3, then the strain is classified 814 as“Group C”. It should be understood that other or further ratios may be employed in a classification. Other steps may be added to the method 800.

[0041] In some embodiments, ratios may be automatically determined from a comprehensive internal strain database. The database may be generated by surveying publicly available strains and determining the THC and CBD levels of each strain. An arithmetic calculation may then automatically classify them. A method may be performed every time a new strain is added to the database on the basis of the algorithm. For example, in the example of FIG. 8A:

If %THC/%CBD > 10, Strain =“Group A”

If %THC/%CBD > 0.3, < 10, Strain =“Group B”

If %THC/%CBD < 0.3, Strain =“Group C”

[0042] Table 2 illustrates the resulting classification of the strains into Groups A, B, and C using the method of FIG. 8A:

Table 2: Resulting classification of the strains

[0043] FIG. 8B illustrates, in a flowchart, another example of a method 850 of classifying strains with a standard nomenclature on the basis of the THC and CBD content of the strain, in accordance with some embodiments. The method 850 comprises determining 852 the percentage of THC concentration and determining 802 the ratio of THC and CBC concentration. If 854 the THC concentration is greater than 5% and the ratio is greater than 10, then the strain is classified 856 as“Group AA”. If 858 the THC concentration is less than 5 and the ratio is greater than 10, then the strain is classified 860 as“Group AB”. If 808 the ratio is less greater than 0.3 and less than 10, then the strain is classified 810 as“Group B”. If 812 the ratio is less than 0.3, then the strain is classified 814 as“Group C”. Other steps may be added to the method 850. [0044] Table 3 illustrates the resulting classification of the strains into Groups AA,

AB, B, and C using the method of FIG. 8B:

Table 3: Resulting classification of the strains [0045] FIGs. 9A and 9B illustrate, in flowcharts, examples of a method 900, 950 of generating a strain formula, in accordance with some embodiments. The strain formula may incorporate a standard classification nomenclature. In this example, the suggested formula 908 is generated on the basis of a user’s inputted wellness objective 902, and on the basis of historical data 904 pertaining to the same. The wellness objective 902 may comprise a desire to alleviate pain, improve sleep, manage fatigue, reduce stress, etc. Other desired wellness objectives may be employed. In the example of FIG. 9B, the historical data 904 may comprise literature 914 (e.g., accepted science and new research), user demographics 924 (e.g., age, weight, gender, etc.) and adjoining actions 934 (e.g., mediations, exercise, sound therapy, etc.). The suggested formula 908 is generated from a formula generator 906 that matches the historical data 904 and wellness objective 902 with a suggested formula 908. For example, in some embodiments, available research for alleviating pain may suggest that the formula include a ratio of 1:2 Group A to Group B, or a ratio of 1 :3 Group A to Group C. In another embodiment, available research for improving sleep may suggest that the formula include a ratio of 5:3 Group A to Group B, or a ratio of 1 :2 Group A to Group C. In some embodiments, available research for alleviating pain may suggest that the formula be coupled with another action such as stretching for short-acting pain relief, and/or continuous meditations for long-term pain management. In some embodiments, available research for managing fatigue may suggest that the formula be 1 : 6 Group A to Group B or 5 : 1 Group B to Group C, coupled with yoga for acute and long-term management.

[0046] Beginning with the literature review, the process 900 begins by examining a plurality of published papers and research studies with a view to determining therapeutic principles associated with chemical compounds - both as independent compounds and as combined compounds. For example, in one published study it may be found that the administration of products with THC concentrations of between 11% and 14% may alleviate pain. In another study, it may be found that administering products with THC concentrations of between 11% and 14%, when combined with CBD concentrations of 3% to 5% alleviate pain to a greater degree than THC alone. Similarly, potential side effects are extracted from the literature. For example, compounds comprising THC concentration of 11% - 14% and CBD concentration of 3% - 5% may alleviate pain, but they also result in dry mouth and difficulty sleeping. However, when the THC concentration is reduced to 8% - 9%, the benefits for pain alleviation remain, but the side effects are reduced. A broad-based literature review is therefore conducted, and the findings are tagged and stored into a database. [0047] In some embodiments, said matching may comprise the use of a look-up table in a repository. In some embodiments, said matching may comprise the use of a machine learning clustering algorithm. For example, if historical data shows that women of certain ages respond a certain way, then a predictive algorithm may be employed to optimize the formulas on the basis of the totality of the historical data (i.e., tagged data) in the database. In this way, different cannabis combination formulas may be suggested for different data points.

[0048] FIG. 10 illustrates, in a flowchart, another example of a method 1000 of generating a strain formula, in accordance with some embodiments. In this example, a user’s response to different formulas are stored, and reinforce the data model for the generation of future formulas. User response includes user-inputted information as well as device-derived biometrics 1034. The method 1000 includes a feedback loop to provide user-inputted feedback 1032 (e.g., the success of the treatment) and/or mobile device-derived feedback 1034 (e.g., variability in sleep patterns, heart rate, etc.) into an individual user history 1002 (e.g., past use patterns, trailing resting heart rate, sleep patterns, cannabis response, etc.).

[0049] FIG. 11 illustrates, in a screenshot 1100, an example of the collection of user- inputted information through a mobile device, in accordance with some embodiments.

[0050] FIG. 12 illustrates, in a screenshot 1200, an example of the collection of biometrics user information directly from the device, in accordance with some embodiments.

[0051] FIG. 13 illustrates, in a screenshot 1300, the storing to a database 1302 of user-inputted information and device-collected information, in accordance with some embodiments.

[0052] FIG. 14 depicts the testing 1400 of a suggestion of a pain relief formula to a multitude of users, in accordance with some embodiments. Users select various qualifying strains - in this example three users have selected a“Lavender” strain and three users have selected an“Elephant” strain. The results and any side effects are recorded and stored to a database.

[0053] FIG. 15 illustrates a process 1500 of self-improvement in the classification system, in accordance with some embodiments. In this example, the system recognizes a variability in THC concentration between the“Lavender” and“Elephant” strains as potentially accounting for the variability in side effects. The system breaks down Group A strains into a more granular Group A+ and Group A-, accounting for variability in THC concentration.

[0054] FIG. 16 illustrates the suggestion 1600 of a pain relief formula incorporating the changes to the classification system and accounting for previously observed side effects, in accordance with some embodiments.

[0055] In some jurisdiction, cannabis may not be allowed to be advertised. FIG. 17 illustrates an example of a user interface 1700 for a mobile application of a machine vision classifier system that scans strain names and classifies them within a classification system, in accordance with some embodiments. This allows for users to be able to know the class of cannabis that may be available at a dispensary, and why that class could be relevant to the user’s personal objectives and/or use history. For example, the machine vision classifier may note that the strain of cannabis that is available was or was not used by the user in the past, what affects the strain had on the user if used on the past, and what affects are expected by this strain on the user (side-effects or benefits to the user) based on the user’s history.

[0056] The machine vision classifier system (e.g., mobile application) may comprise a processor and a memory storing instructions which when executed by the processor configure the processor to perform a method of classifying chemicals. For example, the method may comprise scanning a product (e.g., a cannabis product), determining a name of the product based on the scan (i.e., name of the cannabis), classifying the strain for the product based on the name (determine strain of the cannabis), and presenting the strain classification to a user.

[0057] In some embodiments, a process allows consumers to classify any single one of the thousands of strains they encounter into said standard classification system or into any other classification system through a Machine Vision application deployed through a mobile device and displayed through a mobile interface. Said Machine Vision application may be similarly leveraged to elucidate additional relevant information pertaining to the strain in question - including both objective information, and personalized information. Objective information may include, inter alia, the chemical composition of the strain, its breeding history, and product reviews. Personalized information may include, inter alia, whether the individual has used this strain in the past and whether this strain is a recommended strain given the consumer’s trailing health information and forward-looking health and wellness objectives.

[0058] FIG. 18 illustrates an example of a process 1800 of scanning a product for the purpose of classifying the product into a classification system, in accordance with some embodiments. FIG. 19 illustrates an example of the presentation 1900 of strain information through a mobile interface, in accordance with some embodiments. The information is stored to a database 1302. Said database 1302 may further store a user’s account information (e.g., age, weight, gender, use-history, ailments, etc.), a large strain database with associated classification, and may fetch related information, such as third-party reviews of the strain, to display a totality of relevant information.

[0059] In some embodiments, a process may standardize the many thousands of cannabis strains into a single classification system. It encompasses a standard classification system and nomenclature for the thousands of strains currently available on the market and the thousands of additional strains that will be made available in the coming years. Strains are classified primarily along their THC and CBD content, in a manner designed to seamlessly enhance consumer education and information, while allowing for the modularization of cannabis intake with a view towards catering towards health and wellness outcomes. Built upon this system of standardization is a system of diverse formulae. Formulas are derived from said standardized classification to create classes of cannabis products that cater to discreet health and wellness needs, e.g. pain management, stress reduction, improving sleep, etc. Formulas may reference said standard classification system and nomenclature, and are generated on the basis of, inter alia, the chemical content of strain classes, the demographics and characteristics of the individual consuming the formula, the state of the art with respect to published research, and any adjoining actions to consumption.

[0060] In some embodiments, said standard classification system and formula generation may be automated and/or continuously modified on the basis of associated collected data. Whereas said classification system does not reference the individual underlying strains, said underlying strains are nonetheless tracked by way of user-inputs. Statistical and computational models therefore include underlying strains, enabling the identification of more granular associations on an individual strain level. These associations may be positive - e.g. associated with better health outcomes, or negative, e.g. associated with undesirable side-effects. These associations form the basis of a more granular interrogation of the chemical composition of individual strains, e.g. investigating exact levels of THC concentration, other minor cannabinoids, and other minor terpenoids. Applying extant statistical and computational methods to this dataset allows for the elucidation of novel understandings of how varying levels of THC or CBD concentration, or how terpene profiles, interact with individual consumers or classes of consumers. The classification system therefore continually builds itself and continuously refines itself on the basis of its collected cannabis data.

[0061] In some embodiments, a process may pair cannabis consumption with actions and activities with a view to optimizing the positive impacts of cannabis while minimizing its negative impacts. Said actions and activities are undertaken through a mobile interface, which suggests actions and activities and provides guidance on the same. This includes, inter alia, guided meditations, guided workouts, and guided breathing exercises.

[0062] In some embodiments, a process may collect and store information related to cannabis consumption through a mobile device. This includes both user inputted data and device-collected data. User inputted data includes but is not limited to, age, gender, weight, mood, nutrition, and particulars pertaining to cannabis consumption. Device-collected data includes but is not limited to, heart rate, heart rate variability, sleep, activity, GPS location, and associated time stamps for the aforementioned.

[0063] In some embodiments, an analysis of the collected data may comprise a plurality of statistical and computational methods for, among other things, (1) the elucidation of relationships between individual strain or strain formulae consumption, consumer demographics, accompanying actions and activities, and observed outcomes - both positive and negative, and (2) the prediction outcomes arising from individual strain or strain formulae consumption, controlled for consumer demographics and accompanying actions and activities.

[0064] In some embodiments, an automated and dynamic personalization of cannabis formulas and recommended accompanying actions and activities may be provided, with a view towards achieving individual health and wellness goals, controlled for the demographics and circumstances of the individual.

[0065] In some embodiments, a Bluetooth connected smart vaporizer, linked to a mobile application, and equipped to deliver personalized, optimal dosages, on the instructions of the mobile application. Said vaporizer may comprise two or more cartridges, each loaded with an individual strain. On the basis of instructions received from said mobile application, each cartridge releases an amount of each strain, creating an optimal formula. Thereafter, the mobile application may further dictate to the vaporizer, via Bluetooth, the optimal temperature, and amount to be consumed. In some embodiments, said vaporizer may be equipped with an ECG monitor, capturing heart rate throughout consumption, and relaying the information back to the mobile backend, and storing the same to a database. By this process, the individual’s formulas, and associated inputs, may be continuously improved and optimized.

[0066] The process of dynamic, ongoing personalization of general chemical intake on the basis of demographics and biometric data is similarly well suited in a vitamin and supplement context. The device and methods disclosed herein may also relate to the dynamic personalization of vitamin and supplement consumption, utilizing longitudinal user information including but not limited to, biometric information, location information, and dietary information.

[0067] An individual may spend the summer months in a northern climate and the winter months in a southern one, while simultaneously and cyclically altering his or her diet and exercise patterns on a weekly and often daily basis. In these instances, inaugural questionnaires to determine formulation are wholly inadequate, as the first-order formulation may soon become non-optimal and even damaging to the overall health of an individual. Outside of the summer months, human skin makes little if any vitamin D in regions contained in latitudes above 37 degrees north and below 37 degrees south [of the equator]. Therefore, on average, individuals residing north of the 37th parallel in states such as Washington, Illinois, and Massachusetts are at relatively greater risk for vitamin D deficiency than individuals residing south of the 37th parallel, in states such as Florida, Arizona, and Texas. On a global scale, residents of the United Kingdom will be at greater risk of deficiency than those of Greece, and residents of Beijing will be at greater risk than residents of Hong Kong. [0068] While vitamin D deficiency presents risks, over-supplementation may present its own set of risks. Vitamin D toxicity is a buildup of calcium in the blood - hypercalcemia. This may cause poor appetite, nausea and vomiting. Other risk factors of over

supplementation include weakness, frequent urination, and kidney problems. Approximating appropriate levels of Vitamin D supplementation - as with other vitamins and minerals - is important to the overall wellbeing of an individual. When dynamic temporal variations, human mobility, and weather patterns are considered, assessing vitamin D deficiency and/or risk of toxicity becomes significantly more complex, and static regional generalizations are largely ineffectual in determining the vitamin D deficiency and supplementation requirements of an individual.

[0069] An individual residing above the 37th parallel may require vitamin D supplementation in the winter months, but not require supplementation in the summer months as compared to an individual residing below the 37th parallel. An individual who resides north of the 37th parallel, but spends sporadic days or weeks travelling in regions south of the 37th parallel, may require supplementation at time-specific intervals during the winter months, and/or may require more supplementation than a permanent resident south of the 37th parallel, but less supplementation than a permanent resident north of the 37th parallel who does not frequent regions south of the 37th parallel at regular intervals. An individual residing north of the 37th parallel may in some instances require less vitamin D

supplementation than an individual residing south of the 37th parallel. Such a scenario may occur if weather patterns over a period of days, weeks, or months are such that the individual north of the 37th is receiving abnormally large amounts of sunshine whereas the individual south of the 37th is receiving abnormally low amounts of sunshine.

[0070] Further compounding these phenomena is the non-binary nature of deficiency risk. I.e., while individuals residing on the 40th parallel will be at greater risk than individuals residing on the 35th, individuals in-tum residing on the 50th parallel will be at greater risk than those residing on the 40th. This illustrates instances where the dynamic location of an individual will directly impact the optimal supplementation of vitamins and nutrients. In other instances, the variable actions of individuals will yield similarly complex

considerations. [0071] The variable exercise and activity levels of an individual will have a direct impact on their optimal level of magnesium intake. Muscles’ ability to contract and relax is dependent on magnesium volume in the body. Additionally, magnesium may impact cardiac activity, nerve function, and blood pressure regulation. Thus, magnesium deficiencies may result in low energy levels and problems with muscle function. An individual partaking in high-intensity exercise one day, may require 100 mg in magnesium supplementation. If this same individual is largely sedentary the following day, required magnesium supplementation may be as little as 25 mg if any. Similarly, day-to-day heart rate fluctuations may be attenuated by an increase in magnesium or calcium intake. For example, an individual experiencing a persistently high resting heart rate may require 150 mg in magnesium supplementation. An individual partaking in significant physical activity while

simultaneously struggling with an irregular or high heartbeat, may require 250 mg in magnesium supplementation.

[0072] While magnesium deficiency presents a set of risks described above, over supplementation may in turn cause too much magnesium to buildup in the body. This may result in serious side effects including irregular heartbeat, low blood pressure, confusion, and slowed breathing. In some extreme cases magnesium surpluses may lead to a loss of consciousness and/or death.

[0001] In some instances, supplementation may depend on a combinatorial analysis.

Female athletes require, on average, more iron than their male counterparts. Iron deficiency may result in fatigue, weakness, and dizziness. Conversely, iron overload increases the risk for liver diseases - including cirrhosis and cancer - diabetes, hypothyroidism, and hypogonadism.

[0002] In many cases, optimal vitamin and mineral supplementation is directly attributed to the diets of individuals, with daily fluctuations in dietary intake resulting in daily fluctuations in the need for vitamin and mineral supplementation. An individual with a fish- based diet will likely not require Omega-3 fatty acid supplementation, whereas an individual with a wheat-based diet likely will. Indeed, daily fluctuations in dietary intake will directly impact optimal supplement intake levels on that very same day as a means of maintaining a consistent and healthy diet. For example, a deficiency in Omega-3 fatty acid may result in inflammation and increase risk for chronic disease. Alternatively, too much Omega-3 may result in blood clotting and bleeding.

[0003] By integrating data collected from an individual on an on-going basis, said individual’s daily and weekly supplemental needs may be ascertained. With the ubiquity of smartphones and smart watches, an individual’s biometrics (resting heart rate, heart rate trends, activity, sleep, stress, etc.), location (via GPS technology), and general dietary intake (via logging and computationally-powered meal counters) may be deduced every single day. This allows for both an algorithmic computation of optimal dietary supplementation on any given day (without the need for human input), while also creating an objective and dynamic feedback loop that evaluates the objective efficacy of the supplementation, and in-tum acts as a subsequent input variable to future algorithmically-derived optimal supplementation calculations.

[0004] By breaking down multivitamins into separate constituent individual vitamins or minerals and then in-tum breaking down these constituent individual vitamins or minerals into smaller doses, an individual is afforded substantially greater flexibility as to what volume of supplementation he or she will intake on any given day. The result is a feedback apparatus to govern vitamin and mineral supplementation over-time. A method may be used to generate input variables pertaining to age, weight, gender, exercise, vitals, activity, sleep, location, diet, etc., and through an interface, delivers the feedback to users. Subsequent feedback will integrate forward-looking and trailing biometrics and other input variables to evaluate the efficacy of its prior feedback, thus acting as an input variable in future feedback.

[0005] FIG. 20 illustrates an example of the segmentation 2000 of a multivitamin into constituent parts, in accordance with some embodiments. In this embodiment, the segmentation is such that the supplementation needs of an individual for the constituent parts does not vary in exact proportion or in absolute correlation. FIG. 21 illustrates an example of the segmentation 2100 of Vitamin D into reduced portions to affect an individual’s ability to consume variable volumes of Vitamin D, in accordance with some embodiments. FIG. 22 illustrates an example of the segmentation 2200 of Magnesium into reduced portions to affect an individual’s ability to consume variable volumes of Magnesium, in accordance with some embodiments. FIG. 23 illustrates an example of the segmentation 2300 of Omega-3 into reduced portions to affect an individual’s ability to consume variable volumes of Omega-3, in accordance with some embodiments. FIG. 24 illustrates an example of the segmentation 2400 of a bottle of multivitamin into three separate bottles composed of the specifications and segmentations described above (in FIGs. 20 to 23). FIG. 25 illustrates an example of a box 2500 containing a multitude of bottles described in FIG. 24. The box 2500 in FIG. 25 represents a single unit of purchase in this embodiment.

[0006] FIG. 26 illustrates an example of variable dosages 2600 of Vitamin D for otherwise identical individuals, in accordance with some embodiments. In this embodiment, Vitamin D dosage is determined by the time of the year, the GPS location of the individual, and the weather patterns in said location. FIG. 27 illustrates an example of a user interface 2700 in one embodiment. In this embodiment, a user views their biometrics, and within the same interface receives their suggested vitamin intake.

[0007] FIG. 28 illustrates an example of an input method for the determination of vitamin intake, in accordance with some embodiments. In this embodiment, input variables consist of the date, the GPS location, the weather pattern, the user’s activity, their logged exercise, their most recent resting heart rate, and their logged meals. In this instantiation, the user receives a suggestion to consume 3 units of Vitamin D, 4 units of Magnesium, and 2 units of Omega-3.

[0008] FIG. 29 illustrates an example of how variations in input variables impacts suggested vitamin intake 2900 in one embodiment. In this instantiation, the user receives a suggestion to consume only 2 units of Vitamin D, 1 unit of Magnesium, and no Omega-3. FIG. 30 illustrates an example of how variations in input variables impacts suggested vitamin intake 3000 in one embodiment. In this instantiation, the user receives a suggestion to consume no Vitamin D, 2 units of Magnesium, and 1 unit of Omega-3.

[0009] FIG. 31 illustrates an example of the introduction of demographic input variables 3100 into the intake method, in accordance with some embodiments. In this instantiation, the user (who is a male) receives a suggestion to consume no Vitamin D, 2 units of Magnesium, and 1 unit of Omega-3. FIG. 32 illustrates examples of variations 3200 in the demographic input variables in one embodiment. In this instantiation, the user is a female.

The user receives a suggestion to consume no Vitamin D, 3 units of Magnesium, and 1 unit of Omega-3. [0010] FIG. 33 illustrates an example of an intake method component 3300 for the purpose of determining Vitamin D intake on any given day, in accordance with some embodiments.

[0011] FIG. 34 illustrates an example of an intake method component 3400 for the purpose of determining Magnesium intake on any given day, in accordance with some embodiments.

[0012] FIG. 35 illustrates an example of a vitamin intake suggestion 3500 utilizing an example intake algorithm, in accordance with some embodiments. FIG. 36 illustrates an example of a vitamin intake suggestion 3600 utilizing an example intake method, in accordance with some embodiments.

[0013] In some embodiments, integrating data collected from an individual on an on going basis, said individual’s daily and weekly supplemental needs may be ascertained. With the ubiquity of smartphones and smart watches, an individual’s biometrics (resting heart rate, heart rate trends, activity, sleep, stress, etc.), location (via GPS technology), and general dietary intake (via logging and AI-powered meal counters) may be deduced every single day. This allows for both an algorithmic computation of optimal dietary supplementation on any given day (without the need for human input), while also creating an objective and dynamic feedback loop that evaluates the objective efficacy of the supplementation, and in-tum acts as a subsequent input variable to future algorithmically-derived optimal supplementation calculations.

[0014] In some embodiments, by breaking down multivitamins into separate constituent individual vitamins or minerals, and then in-tum breaking down these constituent individual vitamins or minerals into smaller doses, an individual is afforded substantially greater flexibility as to what volume of supplementation he or she will intake on any given day.

[0015] In some embodiments, a temporally-situated feedback apparatus governs vitamin and mineral supplementation over-time. The device is configured to perform a method that generates input variables pertaining to age, weight, gender, exercise, vitals, activity, sleep, location, diet, etc., and through an interface, delivers the feedback to users. Subsequent feedback will integrate forward-looking and trailing biometrics and other input variables to evaluate the efficacy of its prior feedback, thus acting as an input variable in future feedback.

[0016] FIG. 37 illustrates, in a block schematic diagram, an example of a computing device 3700, according to some embodiments. There is provided a schematic diagram of computing device 3700, exemplary of an embodiment. As depicted, computing device 3700 includes at least one processor 3702, memory 3704, at least one I/O interface 3706, and at least one network interface 3708.

[0017] Each processor 3702 may be a microprocessor or microcontroller, a digital signal processing (DSP) processor, an integrated circuit, a field programmable gate array (FPGA), a reconfigurable processor, a programmable read-only memory (PROM), or any combination thereof.

[0018] Memory 3704 may include a computer memory that is located either internally or externally such as, for example, random-access memory (RAM), read-only memory (ROM), compact disc read-only memory (CDROM), electro-optical memory, magneto optical memory, erasable programmable read-only memory (EPROM), and electrically- erasable programmable read-only memory (EEPROM), Ferroelectric RAM (FRAM).

[0019] Each I/O interface 3706 enables computing device 3700 to interconnect with one or more input devices, such as a keyboard, mouse, camera, touch screen and a microphone, or with one or more output devices such as a display screen and a speaker. I/O interface 3706 may also include application programming interfaces (APIs) which are configured to receive data sets in the form of information signals, including verbal communications recorded and digitized, and/or text input from users in response to queries posed to said users.

[0020] Each network interface 3708 enables computing device 3700 to communicate with other components, to exchange data with other components, to access and connect to network resources, to serve applications, and perform other computing applications by connecting to a network (or multiple networks) capable of carrying data including the Internet, Ethernet, plain old telephone service (POTS) line, public switch telephone network (PSTN), integrated services digital network (ISDN), digital subscriber line (DSL), coaxial cable, fiber optics, satellite, mobile, wireless (e.g., Wi-Fi, WiMAX), SS7 signaling network, fixed line, local area network, wide area network, and others. Network interface 3708, for example, may be used to communicate audio files (e.g., MP3, WAV, etc.) containing recorded verbal responses from a trusted cardholder device to the system for processing via a speech-to-text engine.

[0021] The discussion provides example embodiments of the inventive subject matter.

Although each embodiment represents a single combination of inventive elements, the inventive subject maher is considered to include all possible combinations of the disclosed elements. Thus, if one embodiment comprises elements A, B, and C, and a second embodiment comprises elements B and D, then the inventive subject maher is also considered to include other remaining combinations of A, B, C, or D, even if not explicitly disclosed.

[0022] The embodiments of the devices, systems and methods described herein may be implemented in a combination of both hardware and software. These embodiments may be implemented on programmable computers, each computer including at least one processor, a data storage system (including volatile memory or non-volatile memory or other data storage elements or a combination thereof), and at least one communication interface.

[0023] Program code is applied to input data to perform the functions described herein and to generate output information. The output information is applied to one or more output devices. In some embodiments, the communication interface may be a network communication interface. In embodiments in which elements may be combined, the communication interface may be a software communication interface, such as those for inter process communication. In still other embodiments, there may be a combination of communication interfaces implemented as hardware, software, and combination thereof.

[0024] Throughout the foregoing discussion, numerous references will be made regarding servers, services, interfaces, portals, platforms, or other systems formed from computing devices. It should be appreciated that the use of such terms is deemed to represent one or more computing devices having at least one processor configured to execute software instructions stored on a computer readable tangible, non-transitory medium. For example, a server can include one or more computers operating as a web server, database server, or other type of computer server in a manner to fulfill described roles, responsibilities, or functions.

[0025] The technical solution of embodiments may be in the form of a software product. The software product may be stored in a non-volatile or non-transitory storage medium, which can be a compact disk read-only memory (CD-ROM), a USB flash disk, or a removable hard disk. The software product includes a number of instructions that enable a computer device (personal computer, server, or network device) to execute the methods provided by the embodiments.

[0026] The embodiments described herein are implemented by physical computer hardware, including computing devices, servers, receivers, transmitters, processors, memory, displays, and networks. The embodiments described herein provide useful physical machines and particularly configured computer hardware arrangements.

[0027] Although the embodiments have been described in detail, it should be understood that various changes, substitutions and alterations can be made herein.

[0028] Moreover, the scope of the present application is not intended to be limited to the particular embodiments of the process, machine, manufacture, composition of maher, means, methods and steps described in the specification.

[0029] As can be understood, the examples described above and illustrated are intended to be exemplary only.

Claims

WHAT IS CLAIMED IS:

1. A vaporizer device for dispensing chemical dosages, the device comprising: two or more cartridges connected to a heating chamber, each cartridge holding a different chemical powder; and a microprocessor for controlling valves associated with each cartridge such that amounts of each chemical powder are dispensed to the heating chamber based on a formula.

2. The vaporizer device of claim 1, wherein each cartridge holds a different strain of cannabis.

3. The vaporizer device of claim 1, wherein the formula is pre-set in a memory associated with the microprocessor.

4. The vaporizer device of claim 1, wherein the formula is selectable on the vaporizer.

5. The vaporizer device of claim 4, further comprising a selection unit for each cartridge for setting an amount of powder from that cartridge to be dispensed to the heating chamber.

6. The vaporizer device of claim 4, further comprising a selection unit for setting an amount of powder from each cartridge to be dispensed to the heating chamber.

7. The vaporizer device of claim 1, further comprising a wireless communication unit associated with the microprocessor for communication with an external device, wherein the formula is provided to the wireless communication unit from the external device.

8. The vaporizer device of claim 7, further comprising a fingertip pulse oximeter for tracking a health metric of a user of the vaporizer device, wherein the health metric is communicated to the external device via the wireless communication unit.

9. The vaporizer device of claim 8, wherein the health metric is a heart rate

measurement.

10. The vaporizer device of claim 1, further configured to regulate a dosage amount.

11. The vaporizer device of claim 1, further configured to regulate a heating temperature.

12. A method for dispensing chemical dosages, the method comprising: holding a different chemical powder in two or more cartridges of a vaporizer device; and controlling, via a microprocessor of the vaporizer device, valves associated with each cartridge such that amounts of each chemical powder are dispensed to a heating chamber connected to the cartridges, the amount of each chemical powder dispensed based on a formula.

13. The method of claim 12, wherein each cartridge holds a different strain of cannabis.

14. The method of claim 12, wherein the formula is pre-set on the microprocessor.

15. The method of claim 12, wherein the formula is selectable on the vaporizer.

16. The method of claim 15, further comprising receiving, from a selection unit, individual selections of an amount of powder for each cartridge to be dispensed to the heating chamber.

17. The method of claim 15, further comprising receiving, from a selection unit, a selection of a formula for an amount of powder for each cartridge to be dispensed to the heating chamber.

18. The method of claim 12, further comprising receiving the formula from an external device in communication with a wireless communication unit associated with the microprocessor.

19. The method of claim 18, further comprising: receiving, at a fingertip pulse oximeter, a health metric of a user of the vaporizer device; and communicating, via the wireless communication unit, the health metric to the external device.

20. The method of claim 19, wherein the health metric is a heart rate measurement.

21. The method of claim 12, further configured to regulate a dosage amount.

22. The method of claim 12, further configured to regulate a heating temperature.

23. A vaporizer device for dispensing chemical dosages, the device comprising: a removable cartridge connected to a heating chamber, the removable cartridge holding a combination of chemical powders; and a microprocessor for controlling a valve associated with the cartridge such that the chemical powder is dispensed to the heating chamber; wherein a plurality of removable cartridges may each comprise different formulas of chemical powder.

24. The vaporizer device of claim 23, further comprising a wireless communication unit associated with the microprocessor for communication with an external device, wherein a selection of a cartridge for the vaporizer device is provided to the wireless communication unit from the external device.

25. The vaporizer device of claim 24, further comprising a fingertip pulse oximeter for tracking a health metric of a user of the vaporizer device, wherein the health metric is communicated to the external device via the wireless communication unit.

26. The vaporizer device of claim 25, wherein the health metric is a heart rate measurement.

27. The vaporizer device of claim 23, further configured to regulate a dosage amount.

28. The vaporizer device of claim 23, further configured to regulate a heating

temperature.

29. A method for dispensing chemical dosages, the method comprising: holding a combination of chemical powders in a removable cartridge of a vaporizer device; and controlling, via a microprocessor of the vaporizer device, valves associated with the cartridge such that the chemical powder is dispensed to a heating chamber connected to the cartridge; wherein a plurality of removable cartridges may each comprise different formulas of chemical powder.

30. The method of claim 29, further comprising: receiving, via a wireless communication unit associated with the microprocessor, a selection of a cartridge.

31. The method of claim 30, further comprising: receiving, at a fingertip pulse oximeter, a health metric of a user of the vaporizer device; and communicating, via the wireless communication unit, the health metric to the external device.

32. The method of claim 31, wherein the health metric is a heart rate measurement.

33. The method of claim 29, further comprising regulating a dosage amount.

34. The method of claim 29, further comprising regulating a heating temperature.

35. A system for generating formulas for a wellness objective based on a classification system of cannabis strains, the classification system based on Tetrahydrocannabinol (THC) and Cannabidiol (CBD) content of each strain, the system comprising: a processor; and a memory comprising a sequence of instructions which, when executed by the processor, configure the processor to: receive an input from a user for a wellness objective; determine a formula based on the wellness objective; and communicate the formula via a mobile user interface.

36. The system of claim 35, wherein the processor is further configured to classify strains along three categories comprising: strains high in THC and low in CBD; strains with balanced THC and CBD content; and strains with low THC and high CBD content.

37. The system of claim 35, wherein the processor is further configured to provide at least one of: a cannabis formula; or a suggestion for an action.

38. The system of claim 35, wherein the processor is further configured to: track cannabis-use and user-information of a user; and collect user biometric data.

39. The system of claim 38, wherein collected datapoints are stored to a database.

40. The system of claim 39, wherein stored datapoints are statistically and

computationally continuously analyzed to optimize the formula.

41. The system as claimed in claim 40, wherein: a clustering method is used to discover demographic groupings of users that behave in similar ways to cannabis consumption; and a predictive method is used to generate a formula based on the collected datapoints.

42. A system for the automated and individualized delivery of chemical dosages on the basis of biometric and/or demographic information collected through a mobile device.

43. The system of claim 42, wherein biometric information includes heart rate and heart rate variability, sleep, and activity.

44. The system of claim 42, wherein demographic information includes age, weight, gender, and GPS location.

45. The system of claim 42, wherein chemical dosages relate to over-the-counter vitamins and supplements.

46. The system of claim 45, wherein vitamin D dosage is adjusted on the basis of GPS location and exposure to sunlight.

47. The system of claim 45, wherein magnesium dosage is adjusted on the basis of activity and exercise.

48. The system of claim 42, wherein chemical dosages relate to cannabis.

49. The system of claim 48, wherein cannabis intake is regulated by user-inputted information (benefits and side-effects) and device-collected information (heart rate, sleep).

50. A machine vision classifier comprising a processor and a memory storing instructions that when executed by the processor configure the processor to:

receive a name of a cannabis;

determine a strain classification for the cannabis; and

output the strain classification.