Personalized topical formulation imprinted with quantum energy and using ai expert analysis optimization
AssigneeLuluble Inc.
InventorsLuciana de Mello Coutinho, Ai Takubo, Remington Kim, Michele C. Duggan, Leona Giat Fleissman, Carla Mesquita D'Aprile
Life of this patent
Estimating the term…
Abstract
The present disclosure provides for a customized topical formulation energized with quantum frequencies. In at least one aspect, the topical formulation contains a base formulation and a booster formulation. In another aspect of the topical formulation, the topical formulation is created by collecting data about a user and applying artificial intelligence (AI) and optimization models to the data to arrive at the custom and/or optimized topical formulation for the user.
Claims24
A topical preparation comprising components where an imprinted electromagnetic (EM) frequency, a combination of EM frequencies, and/or (a) quantum energy field frequenc(y)(ies), has/have been applied to the topical preparation for at least a first period of time.
A topical preparation that comprises an imprinted EM frequenc(y)(ies) wherein the topical preparation is boosted by a combination of natural ingredients that are rich in silicon and/or electrolytes.
A topical preparation that comprises imprinted EM frequenc(y)(ies) in a range of 1 Hz-3000 Hz, wherein the topical preparation further comprises a combination of one or more ingredients selected from the group consisting of nicotinamide mononucleotide, peptides, CBD, melatonin, melanin, tyrosine, hematite, ginseng, sodium hyaluronate, hyaluronic acid, St. John's wort, xylitol, methylene blue, diatomaceous earth, coenzyme Q-10, bentonite clay, algae, allantoin, inulin, calcium chloride, magnesium sulfate, sodium bicarbonate, sodium chloride, and sucrose, or combinations thereof wherein said one or more ingredients comprises information that is delivered to and recognized by a user or a user's cells.
A method of preparing a topical preparation, the method comprising the steps of:
- a) collecting one or more variables about a user of the topical preparation to generate a data set;
- e) administering, via a processor, at least one artificial intelligence (AI) model to the data set to generate an AI driven data set;
- f) administering, via a processor, at least one optimization engine to the AI driven data set to generate an optimized data set;
- and
- g) generating, via a processor, the topical preparation based on the optimized data set.
Dependencies are inferred from the claim text.