Presentation Information
[15p-WL1_301-2]Machine learning-driven surface design for biofouling resistance and analysis of interfacial molecular processes
〇Tomohiro Hayashi1 (1.Science Tokyo)
Keywords:
biointerface,machine learning,interface analysis
This talk highlights our recent progress in integrating machine learning with biomaterial design and the characterization of molecular processes at biological interfaces. First, I will describe the use of machine learning models to predict protein adsorption on self-assembled monolayers (SAMs). Then, I will introduce a newly developed ML-assisted interface-selective spectroscopy for analyzing molecular behavior at interfaces. Based on these findings, I will discuss the hydration states of monolayers that possess resistance to the adhesion of biomolecules and cells