DNA-Based Formulations for Personalized Skincare

Predicting the efficacy of skincare treatments based on omics data to improve treatment outcomes. The method analyzes genomic, epigenetic, proteomic, and metabolomic data to predict treatment responses. It identifies specific biomarkers associated with treatment success and failure, allowing clinicians to tailor treatments to individual patient responses.

Source

Recommendation system for customized cosmetics that leverages AI-driven skin analysis to match users with tailored product formulations. The system employs a pre-trained AI model to analyze user skin images and determine their skin type and condition. Based on this analysis, the system generates personalized product recommendations, including both pre-existing and customized formulations, to address specific skin concerns. The recommendations are then transmitted to a cosmetics producer, enabling the production of customized products that cater to individual skin characteristics.

Source

Personalized and customized precision skin care method using biotechnology to provide tailored skin care plans for individuals based on their unique skin characteristics, microbiome, environment, and genetics. The method involves collecting skin data through imaging and questionnaires, classifying skin types, analyzing biomarkers, generating care plans, monitoring feedback, and optimizing plans based on data fusion.

Source

Method for creating customized skincare products based on skin diagnosis and customer preferences. The method involves analyzing skin using tests to measure sebum levels on cheeks and forehead. This data is normalized and averaged to get a main skin metric. This metric is then used to select specific ingredient percentages for customized skincare products tailored to that individual's skin needs. The ingredient selection is based on a list of predefined skincare products with varying ingredient compositions.

Source

A comprehensive skin health management system that uses multidimensional scanning, genetic analysis, biomarker detection, environmental factor analysis, and feedback collection to provide personalized and precise skin care solutions. The system integrates skin surface imaging, gene analysis, biomarker detection, environmental factor analysis, user profiles, and feedback to comprehensively understand skin conditions and generate tailored health plans.

Source

Genetic testing primer combination for evaluating skin moisturizing ability through mass spectrometry analysis. The combination includes a multiplex PCR amplification primer set and a single-base extension primer set for detecting 12 skin moisturizing genes. The primer set is optimized for both intrinsic water balance and extrinsic water-locking mechanisms, enabling comprehensive evaluation of skin moisturizing capacity. The combination enables rapid and accurate genotyping of skin moisturizing genes using the MassARRAY platform.

Source

Personalized skin care products tailored to individual skin types and concerns through data-driven formulation. The method combines traditional skin care ingredients with proprietary ratios and custom formulations to create customized products that address specific skin issues. The approach leverages machine learning algorithms to analyze user data and skin characteristics, then generates optimized formulations that deliver tailored benefits. This enables a more effective and efficient approach to skin care compared to traditional mass-produced products, where formulation is determined by a one-size-fits-all approach.

Source

Composition for improving wrinkles containing retinol and a retinol booster as active ingredients, along with a method to customize the retinol booster based on genetic information. The method involves identifying the base of the polymorphic site of significant single nucleotide polymorphism (SNP) markers associated with skin wrinkle degree. This provides information to select a customized retinol booster for individuals with low retinol responsiveness to maximize wrinkle improvement. The booster ingredients can include substances like lupeol, sucralfate, and glutathione to enhance retinol effectiveness.

Source

Calculating skin beauty characteristics based on genetic testing and providing personalized skin care recommendations based on the calculated scores. The method involves analyzing target SNPs related to skin characteristics from genetic test data. Genotype scores for each SNP are calculated and weighted to derive overall scores for characteristics like aging, pigmentation, inflammation, etc. These scores are then used to classify the person into groups with favorable or unfavorable scores. Personalized skin care recommendations are provided based on the classified group.

Source

Precise skin care for pigmentation by genotyping to determine individual skin's melanin production and transportation capabilities. The method involves whole genome sequencing, facial imaging, and questionnaires to analyze skin melanin production and transportation. Based on the genotyping results, personalized interventions are developed using targeted skin care products to improve pigmentation for each skin type. This provides more effective freckle removal and whitening by addressing the genetic factors underlying melanin overproduction and transportation.

Source

Predicting skin radiance through genetic analysis of specific single nucleotide polymorphisms (SNPs) that correlate with skin condition. The method identifies SNPs associated with skin gloss, moisture, wrinkles, and elasticity, and uses machine learning algorithms to predict individual skin radiance. The SNPs are identified through genome-wide association studies in Korean women aged 30-50, and the predictive model is validated through cross-validation. The predictive model enables personalized cosmetic development by targeting specific skin characteristics.

Source

Predicting skin moisturizing ability and its therapeutic application through a single nucleotide polymorphism (SNP) marker and a diagnostic agent. The marker identifies specific genetic variations associated with skin moisture content, while the diagnostic agent enables precise measurement of skin hydration levels. This biomarker enables personalized skin care recommendations tailored to individual skin characteristics, addressing the growing demand for customized cosmetics that address specific skin concerns.

Source

A biomarker for predicting skin elasticity and its detection, enabling personalized cosmetic formulations. The biomarker is a single nucleotide polymorphism (SNP) that specifically correlates with skin elasticity. The SNP is identified through genome-wide association studies and machine learning algorithms, and its detection enables the development of customized cosmetics tailored to individual skin characteristics.

Source

Predicting skin pigmentation risk through a single nucleotide polymorphism (SNP) marker and a personalized skin diagnosis system. The marker identifies genetic variations associated with skin pigmentation characteristics, while the system provides customized cosmetic recommendations based on individual genetic profiles. The system combines machine learning algorithms with GWAS analysis to accurately predict skin phenotypes, enabling personalized skin care and cosmetic development tailored to individual genetic and environmental factors.

Source

Individually personalized formulated products like skincare, nutrition, health, and pharmaceuticals by creating customized formulations based on user profiles. It involves deriving skin profile identifiers from user skin matrices containing factors like skin type, concerns, conditions, etc. The identifiers are used to generate personalized ingredient sets for the products. The skin profiles can be adapted based on anticipated changes. The user data is used to generate and adapt the profiles. It allows creating truly individualized formulations addressing specific user needs.

Source

Customized skin diagnosis and management system that provides personalized skincare recommendations by accurately measuring and predicting skin conditions. The system uses multifaceted skin measurement to categorize current skin conditions like elasticity, moisturizing, pigmentation, antioxidant level, and sensitivity. It then predicts future skin conditions based on genes related to each category. This allows customized skin diagnosis and management tailored to a subject's unique skin needs.

Source

Predicting skin wrinkles by identifying genetic markers that are significantly correlated with wrinkle formation. The markers are located in genes associated with skin aging and when mutated, indicate a higher likelihood of wrinkles. By analyzing the sequence of these markers in a person's genetic sample, it is possible to predict their skin wrinkle level and classify skin types based on wrinkles. This provides a way to personalize skincare and beauty recommendations, as well as identify genes involved in aging and wrinkle formation for developing targeted treatments.

Source

A system that enables personalized skincare formulation by analyzing user skin parameters and deriving optimal product formulations through machine learning. The system measures multiple skin parameters, generates a customized skincare formulation based on the user's profile, and continuously monitors the formulation's effectiveness through remote measurements. The system updates its formulation recommendations based on user outcomes, enabling continuous improvement of the product's performance.

Source

Customizing skin care products based on genes related to anti-aging, anti-light, and anti-pollution for personalized skincare. The method involves collecting user cell samples, extracting DNA, and detecting specific genes related to factors like UV resistance, melanin production inhibition, pollution metabolism, and skin barrier function. The gene variations are used to tailor skin care products containing ingredients like amino acids, polypeptides, humectants, greases, and conditioning agents that match the user's genotype for optimized anti-aging, anti-light, and anti-pollution benefits.

Source

Customizing skin care products based on anti-inflammatory genes to provide personalized skin care products tailored to an individual's genetic makeup. The method involves collecting a user's cell sample, extracting DNA, and detecting polymorphisms in anti-inflammatory genes related to acne, irritant dermatitis, and allergies. This genetic analysis helps identify the user's inflammatory response tendencies. The customized skin care products contain ingredients optimized for the user's genotype to enhance anti-inflammatory properties, reduce irritation, and prevent allergies.

Source

A genetic marker for skin turnover and keratin hyperkeratosis that enables personalized skin care through targeted interventions. The marker is a specific polymorphism in the skin's keratinization pathway, with effect alleles exhibiting reduced turnover and increased hyperkeratosis. A diagnostic probe can be used to amplify this marker, while a skin care product can be formulated with the amplified marker to provide targeted treatments for individuals with specific genetic profiles.

Source

A genetic marker for determining skin color that enables personalized skin care product recommendations. The marker is a specific SNP located on chromosome 6 that correlates with skin brightness, redness, and yellowness. A microarray-based detection system amplifies the SNP, while a reference database compares the amplified signal to known reference values. The system predicts intrinsic skin color characteristics based on the SNP's weight, enabling accurate prediction of skin tone and matching tailored product recommendations.

Source

Providing personalized beauty care information using a mobile-based system that analyzes subjective data like self-assessments and genetic data to provide customized skin and scalp care advice. The system calculates average data percentages for skin and scalp conditions based on self-assessments and genes. It then recommends products, diets, etc. based on the lowest percentages. By combining subjective and objective data, the system provides scientifically accurate and personalized beauty care recommendations.

Source

Customized cosmetics preparation system that uses genetic information, skin analysis, and user questionnaires to predict skin characteristics and create personalized cosmetics. The system diagnoses skin conditions using genetic data and skin glycation levels. It also recommends customized cosmetics based on user information, skin analysis, and genetic predictions. The system aims to provide tailored cosmetics that address each user's unique skin needs.

Source

Customized cosmetic service using skin diagnosis for each customer. The service involves obtaining skin measurements and user input, generating skin diagnosis, creating customized cosmetic recipes, manufacturing the customized cosmetics, and providing coaching. The customization is based on personalized skin analysis to optimize ingredients and formulations for individual skin needs. The coaching involves matching experts, providing coaching data, and calculating costs based on user feedback.

Source

Cosmetic recommendation system that provides personalized skincare products based on a user's genetics. The system collects the user's genetic information, extracts genes related to skin conditions, calculates risk levels for those genes, and recommends cosmetics containing ingredients to mitigate the identified risks. This allows recommending customized cosmetics tailored to a user's genetic predispositions for skin issues like wrinkles, blemishes, and acne. The genetic analysis is done using a de-identified code to protect user privacy.

Source

A method for determining individual skin type through comprehensive analysis of skin measurements, genetic markers, and questionnaire responses. The method combines data from multiple sources to create a unique skin phenotype code, with each phenotype comprising multiple measurements and genetic markers. This comprehensive code enables personalized cosmetic recommendations by accurately predicting skin characteristics and needs. The method provides customized skincare products tailored to an individual's specific skin type, addressing concerns such as moisture levels, pigmentation, and sensitivity.

Source

Determining genetic predisposition to sensitive skin in cosmetics through the identification of specific single nucleotide polymorphisms (SNPs) associated with skin irritation. The method involves detecting and analyzing the presence of specific SNPs in a subject's DNA, with the goal of predicting their likelihood of developing sensitive skin to cosmetic products. This predictive capability enables targeted ingredient selection and formulation optimization to prevent skin reactions, while also providing personalized recommendations for products that may be suitable for individuals with sensitive skin.

Source

Creating custom skincare products based on personalized biomarker analysis to address predicted skin tendencies. It involves using a skin diagnostic device to measure biomarker concentrations, then determining custom skincare ingredients based on those levels. A skincare formulation device uses the ingredient recommendations to create tailored products for each person. The diagnostic device obtains biomarker data, determines skin tendencies, finds associated products, and sends the ingredient list to the formulation device. The diagnostic device can also receive questionnaire responses and environmental factors to further personalize the recommendations.

Source

Automated determination of an individual care product formulation for a user through a hybrid approach combining expert knowledge and user feedback analysis. The method starts with domain-specific expert specifications that define the initial formulation parameters. It then incorporates user feedback data to refine the formulation through a multi-layer neural network that generates a personalized formulation vector based on user characteristics. The formulation is optimized using a loss function that incorporates both expert knowledge and user feedback, with the neural network adapting to changes in user skin characteristics during product use. This iterative process enables the development of a customized formulation that matches the user's specific skin needs.

Source

Method and apparatus for personalized cosmetic manufacturing using a microbiome. The method identifies skin microbiome profiles through analysis of skin samples and determines optimal probiotic and prebiotic components for each skin type. It then extracts and selects the most effective probiotic and prebiotic strains based on their efficacy against specific skin microbiota types, and manufactures customized cosmetic compositions containing these optimal components. The method enables the creation of customized cosmetics tailored to an individual's skin microbiome profile, addressing specific skin concerns through targeted microbiome modulation.

Source

Evaluating the potential for improving a person's skin condition based on their genetics and current skin state. The evaluation involves analyzing the person's genetic tendency for skin qualities like moisture, texture, and UV resistance, compared to their current skin condition. It uses SNP analysis and skin analysis to determine the potential for improving areas like hydration, texture clarity, and UV resistance. The evaluation results can provide personalized advice on how to improve skin condition by addressing specific areas where genetics and current state differ.

Source

A consulting method and device that provides personalized skin care recommendations by integrating genetic analysis with traditional skin assessment. The system evaluates users' skin characteristics, including barrier function, moisture levels, pigmentation, and wrinkle severity, and then recommends tailored skincare products and routines based on their genetic predispositions. The analysis considers both genetic factors and environmental influences, providing users with customized advice to maintain healthy and beautiful skin.

Source

Predicting skin sensitivity risk through a biomarker analysis that identifies genetic markers associated with skin response to environmental factors. The analysis employs a microarray-based approach to identify specific single nucleotide polymorphisms (SNPs) in genes related to skin barrier function, moisture regulation, and inflammatory response. These SNPs are then used to predict individual skin sensitivity levels, enabling personalized product development for sensitive skin.

Source

Combination of primers for detecting skin barrier function and acne resistance genes through mass spectrometry-based genotyping. The combination enables precise determination of individual skin barrier function and resistance to acne through targeted PCR amplification and single-base extension analysis. This enables personalized skin care management by identifying genetic predispositions to acne and determining optimal treatment strategies.

Source

Method for providing customized skin care products through AI-based skin diagnosis. The method involves converting data on skin care ingredients and their efficacy into a database. Customers provide skin opinion, measurement, and images. AI diagnoses skin issues and recommends optimized ingredients for a personalized skin care formula.

Source

A personalized skin care service system that provides tailored skin care products, services, and foods based on individual genetic information and skin condition. The system analyzes user data to recommend optimized skincare items like customized cosmetics, personalized skin care services, and customized foods. It uses DNA analysis, skin analysis, review analysis, and synergy analysis to provide customized solutions that address each user's unique skin needs. The system also analyzes user reviews and skin comparisons to improve the accuracy of the customized recommendations.

Source

Recommending skincare products based on biomarker analysis to address predicted skin trends. The method involves obtaining protein biomarker concentration data, determining skin trends based on the biomarker levels, identifying skincare products associated with those trends, and recommending those products to the user. It leverages correlations between biomarkers and signs of aging/skin issues to provide personalized product recommendations that address the user's specific skin concerns.

Source

Detection method to evaluate innate skin quality using a panel of five genes related to antioxidant capacity, anti-glycation ability, collagen synthesis, UV resistance, and inflammation control. The gene variants are detected and used to personalize skin care products by selecting ingredients with complementary effects based on the gene results. For example, if a person has weak UV resistance genes, their skin care kit would contain ingredients like bismuth oxychloride, cherry blossom extract, and photinia glabra extract to improve UV protection.

Source

Personalized cosmetics recommendation system that analyzes genetic test results and self-diagnosis to provide customized cosmetics for individual skin conditions. The system compares genetic analysis data, self-diagnosis data, and skin measurement data to calculate a diagnostic code that represents the user's skin condition. The diagnostic code is used to recommend cosmetics tailored to the user's specific skin needs.

Source

A system for personalized skin care product recommendations based on genetic analysis and user questionnaires. The system takes user skin data from questionnaires and genetic analysis, groups similar skin types based on gene expression, and recommends customized skin care products for each group to improve skin conditions. The system converts gene expression data into scores for indicators like pigmentation, aging, and elasticity. By comparing gene expression and analyzing skin function genes, it determines skin risk levels and recommends products for specific issues like moisturizing, wr

Source

A method for identifying bioactive hydration ingredients that enhance skin hydration through synergistic action on multiple endogenous mechanisms. The method employs gene expression analysis to identify a single compound that modulates the expression of genes involved in maintaining skin hydration balance. This compound, when combined with a vehicle, demonstrates enhanced skin hydration properties by simultaneously activating multiple mechanisms, including water retention, lipid production, and osmotic balance.

Source

A method for personalized aseptic skin care product formulation that enables rapid and accurate customization through comprehensive skin profiling. The method integrates objective and subjective skin data to create customized formulations that match individual skin characteristics, enabling faster and more precise product development compared to traditional methods.

Source

Personalized skincare products and routines formulated using user data and machine learning algorithms. The system leverages factors like skin hydration, oil levels, concerns, genetics, diet, lifestyle, environment, and preferences to generate unique skincare formulations and recommendations. It uses a feedback loop where user feedback after product use is analyzed to further refine formulations over time. The goal is to provide effective, customized skincare tailored to individual needs.

Source

Providing customized cosmetics that conform to individual skin characteristics and usage patterns to optimize effectiveness and minimize production costs. The method involves analyzing skin type based on genetic information and selecting appropriate ingredients. It then diagnoses skin condition and determines ingredient content based on that. This allows personalized cosmetics tailored to each user's skin needs.

Source

Customized sunscreen lotion that enhances skin repair after UV exposure. The lotion combines proprietary raw materials formulated based on individual genetic profiles, specifically designed to address specific skin concerns. The formulation includes a base of sodium hyaluronate and polyacrylate cross-linked polymer-6, combined with other targeted ingredients. This proprietary blend provides a tailored repair mechanism that addresses the unique skin needs of individuals with specific genetic profiles.

Source

Predicting skin pigmentation through genetic analysis of specific polymorphic markers. The method involves identifying and characterizing genetic variations associated with skin color, particularly those with high correlation coefficients, and developing a predictive model based on these markers. The predictive model can be used to determine skin pigmentation levels and predict skin types, enabling personalized skin care and cosmetic recommendations.

Source

Predicting skin moisture content through the identification of a specific genetic marker with significant correlation to skin moisture content. The marker is a polymorphic variation in a specific gene on chromosome 17, identified through genome-wide association studies. The marker's sequence is used to create a predictive composition that can be detected in skin samples, enabling the determination of skin moisture content. This approach enables personalized skin moisture content analysis, potentially leading to targeted treatments for skin conditions.

Source

Predicting skin hemoglobin concentration through genetic analysis of specific polymorphic markers. The method involves identifying a marker with a significant correlation between skin hemoglobin levels and genetic markers, and then analyzing the nucleotide sequence of this marker to predict skin hemoglobin concentration. This approach enables early classification of skin types based on hemoglobin levels, providing a foundation for personalized cosmetics and disease management.

Source

Customized emulsion for repairing sensitive skin through precise genetic profiling and formulation of specific skin barrier repair components. The emulsion combines proprietary skin-specific ingredients with fibronectin, a potent repair agent that addresses both superficial and deep dermal damage. The formulation is optimized based on genetic test results, ensuring optimal efficacy and safety for sensitive skin conditions.

Source