KAIST Researchers Develop AI-Driven Biosensor for Stress Hormone Detection
A research team from the Korea Advanced Institute of Science and Technology (KAIST) has developed a novel artificial intelligence biosensor capable of detecting the stress hormone cortisol. Utilizing a deep learning-driven protein structure generation and sequence design method, the team designed small molecule-binding proteins with high specificity. The proteins were transformed into sensors that can selectively recognize cortisol, addressing a significant challenge in protein design. This advancement moves beyond traditional methods that relied on natural protein screening and modification, offering a scalable and universal approach to biosensing technology. 
