Cosmax Filed AI Patent for Alopecia Prediction
The firm developed an AI model that assesses alopecia risk by analyzing 33 physiological and medical variables.
Updated on Sept. 30, 2026 in Beauty
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Cosmax has filed a patent for an artificial intelligence model designed to predict the risk of alopecia areata. The system functions by processing user questionnaire data and physiological metrics without the need for additional biological samples.
Why it matters
This technology aims to provide personalized hair health insights by leveraging massive health screening datasets. It represents a shift toward data-driven, non-invasive diagnostic tools within the consumer beauty and wellness industry.
The AI model is trained on 22 million health records and analyzes 33 specific medical variables. Separately, the firm's Corelink-S technology has been shown to improve damaged hair tensile strength by more than 120 percent.
The players
Cosmax
This is a global beauty and personal care manufacturer headquartered in South Korea.
Seoul National University
This institution collaborated with Cosmax to develop the Corelink-S hair treatment technology.
Fujishin
This Japanese distributor partnered with Cosmax to establish the joint venture known as Trynex.
The details
The model was trained on health screening records from South Korea and Japan to improve its predictive accuracy. Furthermore, Cosmax is expanding its research to include a new product line specifically designed to address 12 different hair and scalp conditions for curly hair.
Timeline
Cosmax filed 37 hair care patents over the past three years.
Hair care sales rose by about 65 percent during the first half of 2026.
Cosmax established the venture Trynex with Fujishin in July 2026.
The patent filing was officially announced on September 30, 2026.
Culture Shift
This development follows the broader documented trend of the integration of big data and AI in cosmetic R&D. It reflects a move away from generic product testing toward hyper-personalized, algorithmically determined beauty solutions.
Consumers may soon gain access to more precise hair health recommendations through platforms like Byniq that utilize these AI-driven insights. These innovations could simplify the process of selecting appropriate hair care products by removing the need for manual diagnostic testing.
The takeaway
The move toward non-invasive AI diagnostics signals a future where hair care routines are based on personal health metrics rather than trial and error. Users should look for products that integrate these technological findings as they become available in the retail market.
Further reading
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