The research team presented nine studies highlighting a shift toward predictive skin science. Eun-Jeong Choi’s work, which earned a Top 10 Podium Fundamental Research Award, utilized deep learning to map transcriptomic signatures of heat-accelerated aging. This study establishes a new framework for predicting skin responses to environmental stressors and identifying ingredients capable of mitigating damage. Complementing this, Jeong Yu Lee introduced a method for the electroluminescent visualization of skin hydrodynamics, which secured a Top 10 Podium Applied Research Award. By translating moisture movement into measurable electrical data, the technology bridges the gap between subjective sensory experience and objective formulation analysis.
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Amorepacific Leverages AI to Redefine Skin Science at IFSCC Congress
At the IFSCC Congress 2026 in Perth, Amorepacific showcased how deep learning and digital sensory quantification are transforming cosmetic research. By integrating AI into skin aging prediction and consumer behavior analysis, the company secured multiple top-tier podium recognitions for its data-driven approach to sustainable beauty and skin longevity.
Beyond laboratory metrics, the company applied AI to global consumer trends. Jinseob Shin, representing the Americas R&I Center, analyzed video interviews from consumers in Brazil and Mexico to determine preference drivers for barrier-repair moisturizers. This methodology replaces traditional survey models with AI-powered behavioral analysis, isolating specific preferences for texture and absorption speed. Brian Byung-Fhy Suh, CTO of the Amorepacific R&I Center, emphasized that these hybrid technologies are central to the company’s broader 'Holistic Longevity' strategy, which aims to maintain skin health across diverse environmental conditions through continuous innovation.
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