Adaptive digital therapy system with real-time emotional state analysis and symbolic language communication

Abstract

The present invention relates to a system and method for providing adaptive digital therapy, enhancing the emotional well-being of users through the analysis and translation of expressive and physiological states. Aspects of the invention are directed to identifying the neuroplastic window via user inputs, with or without the aid of psychedelics. This invention is particularly suited for supporting psychoactive therapies involving compounds such as 5-HT2A agonists, dissociatives, and empathogens, as well as applications beyond psychoactive treatments. By utilizing multi-modal deep learning methods, the system captures a wide array of user inputs, including text, speech, vision, symbols, and brain waves, to form a dynamic user representation. This representation is then used to provide real-time, tailored generative communications informed by established psychological therapeutic frameworks. The invention features a closed-loop feedback system through an access module, enabling continuous data relay, patient response metric derivation, and transmission of emotional optimization communications. The system also introduces novel communication methods, including symbolic language input, to articulate complex experiences and extends its capabilities to include natural emotional states, broadening its therapeutic applicability.