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