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This study explores the application of AI-approach to identify new fluorophores in the human organism. Trained on the multiple representations of the chemical structure of molecules, the approach accurately restored optical properties for known fluorophores and identified new sources in the human body using available databases. The predictions of the presented approach were experimentally validated for fluorophores identified in tissues.