Yuanwen Jiang

AI-enhanced wearable biosensor system for objective and proactive mental healthcare

Current psychiatric practices for diagnosing mental illness based on consultation and questionnaires are intermittent and subjective in nature. Here, we propose to develop an AI-enhanced wearable system for real-time and quantitative assessment of mental health. Utilizing aptamer-based non-invasive biosensors integrated with wireless flexible electronic patches, our technology can provide continuous monitoring of biomarkers relevant to psychological states. Through advanced algorithms based on artificial neural networks, our system will allow superior sensitivity and specificity compared to traditional methods. Our goal is to achieve a clinically-deployable prototype with robust biomarker detection and algorithmic prediction capabilities, paving the way towards proactive mental healthcare.