Skin Models

Explore how NativeSkin® supports human-relevant cosmetic efficacy and safety testing, helping you strengthen claims and de-risk formulations earlier.

Beyond animal models: The role of human skin in ADME testingADME (Absorption, Distribution, Metabolism, and Excretion) testing plays a vital role in modern drug development by improving candidate selection, reducing failures, enhancing safety assessments, ensuring regulatory compliance, and ultimately saving time and resources in bringing new drugs to market. Traditionally, ADME testing has relied on animal models and in vitroRead more

HairSkin®Human skin model with hair folliclesHairSkin®: the first ex vivo human skin model with mature pilosebaceous units HairSkin® is a cutting-edge ex vivo human skin model, developed with tissue containing fully mature pilosebaceous units. HairSkin® is designed to meet the requirements of both pharmaceutical and cosmetic industries and to empower innovation in dermatology, cosmetics, and personal care. Thanks to aRead more

From human skin to human data: Advancing immunogenicity testing with human modelsIn a public workshop organized by the FDA-CRCG group, Dr. Nicolas Gaudenzio, CSO of Genoskin, introduced an innovative platform for assessing immune reactions in response to injected substances using human skin explants. His talk, titled "A new in vitro framework for assessing immunogenicity using comprehensive profiling of injectable humanRead more

This application note highlights new comparative data on T cell dynamics in HypoSkin^® and InflammaSkin^®, generated using flow cytometric analysis.

ProtocolNativeSkin® Approved Protocols Genoskin’s approved protocols for NativeSkin® are developed and validated by our scientific teams to support robust downstream analyses across efficacy, safety, and mechanistic studies. From tissue viability and barrier assessment to histology, molecular biology, and immunostaining, these protocols are designed to help you get the most out of your NativeSkin® studies while maintaining consistency across experiments and users.Read more