Machine learning algorithms for surface plasmon resonance bio-detection applications, A short review

Abstract Surface plasmon resonance (SPR) sensors have many applications in detecting toxic gases, water pollutants, and biomarkers of diseases. are a good candidate for future sensing platforms due to their high sensitivity fine resolution. However, the challenges cost, cross-sensitivity, large amount generated data need be addressed unlock surface potential. Machine learning (ML) algorithms can address these challenges. In this short review, recent studies integrating Artificial Intelligence (AI) Learning with mechanisms bio-detection presented here. This review shows how integrated approach help mitigate some faced by traditional SPR sensing.