The development cycle of an anti-aging active raw material takes an average of 3-5 years, and the failure rate exceeds 70%. The reality faced by brands is that traditional screening methods have low efficiency and high cost, while the market's demand for efficiency innovation is rising continuously. Homogeneous competition makes brands fall into a price war. Consumers' cognition of "sense of technology" begins to surpass "natural plant extracts". The whole industry is asking the same question: where is the next technological breakthrough?

The Nobel Prize in Physics in 2024 awarded the breakthrough in AI application field, which made the value of computational biology in the development of functional raw materials get unprecedented attention. In Lancome studies, AI technology can quickly lock target molecules in 4000 trillion polypeptide sequences, compressing the screening cycle from several years to several months, and the success rate has increased several times. This year's Nobel Prize was awarded to the immune tolerance mechanism, which also showed the importance of precise immune regulation to the repair and regeneration of various tissues and organs including skin. Our basic scientific research field and transformation industry field, the research and development revolution driven by the research direction of Nobel prize level, are shaking the innovation logic of the whole industry.

On Tuesday, November 18, Jung's live broadcast room is about to bring an in-depth dialogue on "the 7th frontier progress and Transformation Seminar on biological bioactive peptide (ATBP)", "the practice of noble wisdom industry, levitt Michael, the winner of the Nobel Prize in Chemistry in 2013 and a lifelong professor at Stanford University, will personally interpret his research on Nobel prize level and how to define important and innovative scientific issues in his own field.

The algorithm system developed by this scientist who initiated the field of computational biology is being transformed into Kepler 90i by Hemei biology.®Platform-an AI raw material discovery engine optimized for cosmetic scenarios. Kepler 90i®Based on the exclusive natural Active Ingredient Database and skin problem target database, the platform can accurately screen or rationally design specific targets by combining the multi-scale model of Nuo Award-level complex system. From polypeptide to nucleic acid, Hemei organisms design active ingredients with high affinity through AI calculation by digging important targets for skin. This idea is changing the underlying logic of raw material development.

Efficacy claims to be standard, and technological innovation has become a key variable for enterprises to break through. Nobel prize-level technology is not a distant future concept, but an ongoing industrial reform. This seminar provides not only knowledge update, but also a strategic opportunity to re-examine the research and development system and evaluate technology investment. For enterprises wishing to establish technical barriers on the efficacy track, understanding how to apply the research results of Nobel prize level may bring some different ideas.

Come and register for the meeting. Seats are limited. We recommend that you make an appointment in advance!