Ten Bio News

Can AI improve predictive skin research?

Artificial intelligence is transforming skin research by uncovering biological patterns and predicting tissue responses from increasingly large and complex datasets. But AI is only as reliable as the biological data used to train and validate it. Discover why physiologically relevant human skin models remain essential for translating AI predictions into meaningful biological insight.

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Longevity beauty in 2026: From anti-aging claims to biological evidence

Longevity beauty is reshaping the dermo-cosmetics sector, shifting the focus from traditional anti-aging claims toward biologically relevant evidence. As innovations such as peptides, exosomes and microbiome-focused technologies gain momentum, the challenge is no longer simply developing new actives, but demonstrating their impact on skin biology through predictive, human-relevant testing approaches.

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From creams to complex molecules: The evolving science of topical delivery

Topical drug delivery has evolved from simple creams to increasingly sophisticated systems designed to transport therapeutic molecules through the skin. While many small molecules can penetrate the skin barrier, larger and more complex therapeutics present new challenges. In this article, we explore how topical and transdermal delivery is evolving and why human-relevant skin models are becoming increasingly important for understanding how new therapies interact with the skin.

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