Dec 4, 2024
10:00am - 10:30am
Sheraton, Second Floor, Independence West
Sihong Wang1
The University of Chicago1
The effective use of electronic devices for acquiring biological information and delivering therapeutic interventions hinges on two key aspects: acquiring physiological data through contact with soft bio-tissues and high-throughput processing using machine learning. Ensuring high-quality signal transduction requires interfaces between bioelectronic devices and bio-tissues that combine signal amplification with stable, conformable contact. Organic electrochemical transistors (OECTs) are advanced technologies for high-performance bio-sensing and neuromorphic computing. However, challenges such as rigid mechanical properties, lack of tissue adhesion, and immune reactions hinder the formation of stable bio-interfaces.<br/>In my talk, I will first present our material and device designs for OECT-based biosensors that incorporate bioadhesive properties, immune compatibility, and tissue-like softness, achieving these biomimetic properties while maintaining state-of-the-art electrical performance. I will discuss the strategies and advantages of using these properties in bioelectrical and biochemical sensing. Additionally, I will cover our research on imparting intrinsic stretchability to neuromorphic devices and circuits, which provide advanced computing performance, demonstrating their practical applicability for machine-learning-based health data analysis.