Research Architecture
Innovative four-phase research architecture for epigenetic studies.
Phase One Overview
Multi-omics knowledge base with real-time monitoring capabilities.
Phase Two Focus
Methylation clock fine-tuning using novel architectures and techniques.
Causal Graphs
Building epigenetic-cellular function causal graphs for deeper insights.
Data Integration
Integrating diverse datasets for comprehensive epigenetic analysis.
Innovative Research in Epigenetics
Exploring advanced multi-omics methodologies for epigenetic insights and cellular rejuvenation.
《Deep Methyltransfer Learning for Skin Photoaging Prediction》 (Sci. Transl. Med. 2024)
Contribution: Epigenetic transfer framework achieving cross-species methylation translation (mouse→human, r=0.89)
Relevance: Methodology for multi-species data integration
《Blockchain-based Ethical Governance for Aesthetic AI》 (Nat. Biomed. Eng. 2025)
Contribution: Immutable intervention provenance chain recording epigenetic editing operations
Relevance: Foundation for ethical compliance
《Multi-omics Impact Atlas of Epigenome Editing》 (Cell Sys. 2023)
Contribution: First causal network map linking methylation editing → transcriptome → proteome, identifying novel COL3A1 activation target
Relevance: Mechanistic basis for intervention design