Advances in Longevity: The Intersection of Regenerative Medicine and Cosmetic Dermatology.

BACKGROUND

Aging is increasingly recognized as a modifiable biological process influenced by genetic, environmental, and lifestyle factors. Recent advances in regenerative medicine and artificial intelligence (AI) have reshaped the field of cosmetic dermatology, shifting the focus from temporary aesthetic improvements to long-term interventions aimed at preserving skin vitality and longevity.

AIM

This narrative review aims to synthesize emerging knowledge from 2010 to 2025 on the integration of regenerative strategies, biological modulators, immunologic regulation, microbiome modulation, and AI-driven personalization in the context of aesthetic longevity. The review also discusses translational potential and ethical considerations surrounding these advancements.

METHODS

A targeted literature search was conducted using PubMed and Scopus to identify peer-reviewed articles from 2010 to 2025. Search terms included "skin aging," "stem cells," "mitochondrial dysfunction," "epigenetic reprogramming," "artificial intelligence in dermatology," and "skin microbiome." Selected studies focused on regenerative and longevity-based interventions with clinical relevance or future applicability in cosmetic dermatology.

RESULTS

Key findings were categorized into six interconnected domains: regenerative medicine, mitochondrial function, epigenetic modulation, immunological balance, microbiome resilience, and AI-driven innovation. These pillars demonstrate a paradigm shift toward biologically informed, personalized strategies that aim to restore and sustain skin health at the molecular level.

CONCLUSION

Cosmetic dermatology is undergoing a transformation toward integrative, proactive care that combines regenerative medicine, AI, and personalized interventions. These approaches offer promising, evidence-based solutions for enhancing both aesthetic outcomes and long-term skin function, while also raising important ethical and regulatory considerations for clinical implementation.