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L’Oreal Cell BioPrint analyzes your skin in five minutes

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More L’Oréal Groupe announced at CES 2025 the L’Oréal Cell BioPrint, a hardware device that provides customized skin analysis in just five minutes at the beauty counter. This isn’t surface-level: this device will utilize cutting-edge proteomics science to […]

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L’Oréal Groupe announced at CES 2025 the L’Oréal Cell BioPrint, a hardware device that provides customized skin analysis in just five minutes at the beauty counter.

This isn’t surface-level: this device will utilize cutting-edge proteomics science to understand your skin’s unique biology. L’Oréal calls it a revolution in consumer skin intelligence rooted in the field of longevity science. The company made the announcement at CES 2025, the big tech trade show in Las Vegas this week. L’Oréal has been a regular at the event in recent years as the worlds of beauty and tech collide.

Proteomics, the study of how protein composition varies in our bodies and affects biological processes, is now being applied to skin intelligence, with a lab experience that has been miniaturized to the size of a credit card, the 115-year-old beauty company said.

Through L’Oréal Groupe’s exclusive partnership with Korean startup NanoEnTek, this groundbreaking technology makes it possible to measure L’Oréal Groupe-patented biomarkers within the skin – invisible clues that reveal the skin’s past, present, and future. L’Oréal’s Advanced Research, for the first time, identified biomarkers in the skin that can indicate key components of skin health and longevity.

The L’Oréal Cell BioPrint is a tabletop hardware device that provides personalized skin analysis in just five
minutes, using advanced proteomics – the study of how protein composition in the human body affects skin aging.

L’Oréal Cell BioPrint is made possible by L’Oréal’s Longevity Integrative Scienceä, a groundbreaking approach that reveals how mechanisms in the human body can affect skin’s appearance, and through an exclusive partnership with Korean startup NanoEnTek.

L’Oréal Cell BioPrint produces a personalized skin assessment in minutes including:

Skin’s Biological Age: How fast is skin aging? L’Oréal Cell BioPrint can calculate
skin’s age and provide personalized advice on how to slow down the appearance of
aging.

Ingredient Responsiveness: Will certain active ingredients work on one’s skin?
L’Oréal Cell BioPrint minimizes guesswork by helping to predict responsiveness to
certain key ingredients such as retinol.

Shifting from Reactive to Proactive Skincare: Is one’s skin prone to dark spots or
enlarged pores? L’Oréal Cell BioPrint can help predict potential cosmetic issues
before they become visible, enabling users to take proactive steps to help protect
the beauty of their skin.

“At L’Oréal, we’re always looking toward the future of beauty, blending cutting-edge
discoveries with our long-standing beauty expertise,” said said Barbara Lavernos, deputy CEO in charge of research, innovation and technology at L’Oréal Groupe, in a statement. “With skin being the largest organ, and a key part of people’s wellbeing, we are thrilled to unveil Cell BioPrint, an exclusive microfluidic lab-on-a-chip technology coupled with our century-long skin science leadership. With the Cell BioPrint device, we offer people the ability to discover deeper insights about their skin through specific biomarkers and to proactively address the beauty and longevity of their skin.”

In Pursuit of Increased Personalization in Skincare

L'Oreal Cell Bioprint can analyze your skin in five minutes.
L’Oreal Cell Bioprint can analyze your skin in five minutes.

The growth of the global skincare market, which is projected to reach $125 billion in 2024, is driven by consumers who are continuously seeking more information about, and more efficacious products for, their unique skin. According to a recent U.S. survey of 2,000 skincare users, nearly 80% reported relying on trial and error to determine what worked for them, with the average person reporting trying seven different cleansers before finding one they love.

The advanced science in L’Oréal CellBioPrint is now being applied to skin intelligence thanks to decades of knowledge-building and innovation by L’Oréal’s Advanced Research team, which identified for the first time, unique biomarkers in the skin that can indicate key components of healthy-looking skin and longevity.

The L’Oréal Cell BioPrint device also features NanoEntek’s exclusive microfluidic lab-on-a chip technology, which leverages some of NanoEnTek’s 100+ patents to measure the presence of L’Oréal‘s groundbreaking protein biomarkers in five minutes. It works through a simple, non-invasive process comprised of the following steps:

  • Put a facial tape strip on one’s cheek, then place into buffer solution.
  • Load the solution into the L’Oréal Cell BioPrint cartridge and insert it into the machine for analysis.
  • While L’Oréal Cell BioPrint processes the sample, the Skin Connect device takes several images of one’s face and a short questionnaire about skin concerns and aging is completed.

L’Oréal Cell BioPrint is scheduled to pilot with a L’Oréal brand in Asia later in 2025. L’Oréal has more than 90,000 employees, including 20 research centers with more than 4,000 scientists and 6,400 workers. L’Oréal is focused on inventing the future of beauty and becoming a beauty tech powerhouse.

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    Microsoft will invest $80B in AI data centers in fiscal 2025

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    John Deere unveils more autonomous farm machines to address skill labor shortage

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    OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

    Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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