Advanced sensor platforms and machine learning tools for real-time contaminant monitoring

Single-molecule data analysis with high-spatial and high-temporal resolution has greatly advanced the understanding of biomolecular properties and functions in biomedicine. Recently, artificial intelligence (AI) and machine learning (ML) have been applied to efficiently analyze the large and complex data generated by single-molecule techniques, revealing how molecular structures, dynamics, interactions, and mechanisms determine biological processes and outcomes. This chapter will review the recent progress in applying AI and ML tools to facilitate the research of single-molecule data analysis in biomedicine. The current limitations and future directions will also be discussed.