Advanced ex vivo models for assessing natural and pharmaceutical compounds on human skin and hair follicles, providing mechanistic insights into aging and bioactivity. Ideal for academic and business applications in skin health and cosmetics.
This solution offers sophisticated ex vivo models designed to evaluate the effects of natural and pharmaceutical compounds on human skin and hair follicles. By utilizing advanced models such as 2D and 3D cultures, organotypic skin substitutes, and hair follicle organoids, this research provides comprehensive insights into the bioactivity, health, and senescence of skin cells. These models are crucial for understanding the mechanisms of aging and assessing the efficacy of compounds, making them valuable for both academic research and business applications in skincare and cosmetics.
The solution employs a variety of in vitro and ex vivo models including:
The technology is currently at TRL 5, indicating that it has been validated in a relevant environment. The team is experienced and well-funded, positioning this solution for further development and collaboration with industry partners seeking advanced research capabilities in skin and hair follicle biology.
The University of Cincinnati is a comprehensive public research university with an applied, urban-serving character and a significant clinical enterprise. Industry engages through one of the nation's largest cooperative education programs, placing students year-round with corporate R&D and operations teams and creating an on-ramp to sponsored research. An innovation district near campus hosts co-located corporate labs, startup space, and shared prototyping facilities, while the university's integration with a major hospital system enables clinical studies and translation. Research is supported by competitive federal funding from agencies such as NIH and NSF, along with state and industry partnerships. A dedicated technology transfer office manages IP, licensing, corporate agreements, and startup formation, providing flexible models for collaboration.