By leveraging cutting-edge experimental and computational technologies — including systems biology approaches combined with machine learning and artificial intelligence — we integrate insights from skin morphology, multi-omics data (transcriptomics, genomics, proteomics, and metabolomics), the microbiome, nutrition, lifestyle, and overall well-being.

This comprehensive approach enables the identification of disrupted networks and actionable therapeutic targets, transforming dermatology into a more precise, predictive, and personalised discipline.

Our Three Key Programmes

The Skin Science Foundation's three programmes. 1: the Precision Medicine Programme, comprising the BioHub (an open-source platform for exploring curated skin omics datasets, including single-cell RNA sequencing and spatial transcriptomics) and Shared Molecular Cartography (a global network mapping the molecular landscape of skin diseases for clinical use). 2: the Predictive & Preventive Medicine Clinical Trial Programme, designing clinical trials that integrate imaging, omics, lifestyle and exposome data to identify biomarkers for disease prediction and prevention. 3: the Training Programme, offering fellowship grants with the European Dermatology Forum (EDF) for physician-scientists in big-data technologies.