The skin is a complex organ whose functioning is affected by both environmental and intrinsic factors, making it a perfect model for studying the aging process at many different levels of analysis. Multi-dimensional data obtained in the course of aging-related research are difficult to analyze. However, with the use of artificial intelligence (AI), datasets at the molecular, genetic and biophysical information levels become more insightful and help strengthen skin resilience. AI also plays a major role in the visualization and simulation of skin and its derivatives (hair and nails). AI-driven technologies thus contribute to advances in skin aging research, including method development and data acquisition, evaluation and interpretation. It supports the development of new drugs, optimizes treatment recommendations and aids in substantiating the effectiveness of personalized approaches. This chapter outlines some future prospects of the application of AI in the areas of personalization and inclusiveness for both skin research and clinical practice.
Authors:
Georgievskaya, A., Danko, D., Baxter, R. A., Corstjens, H., & Tlyachev, T. (2023). Artificial Intelligence Approaches for Skin Anti-aging and Skin Resilience Research. In Artificial Intelligence for Healthy Longevity (pp. 189-214). Cham: Springer International Publishing.
Georgievskaya, A., Danko, D., Baxter, R. A., Corstjens, H., & Tlyachev, T. (2023). Artificial Intelligence Approaches for Skin Anti-aging and Skin Resilience Research. In Artificial Intelligence for Healthy Longevity (pp. 189-214). Cham: Springer International Publishing.
