Naoaki Ono

The paper examines how soil nutrition affects the root-associated microbiome of rice across seasons and conditions, finding nitrogen-fixing bacteria dominate in non-fertilized fields and a machine learning model can predict soil fertilization status from microbiome data.

This study integrates metabolomics with machine learning to explore how antibiotics affect gut microbiota resistance phenotypes and their associated metabolites.

This paper proposes a method using heartbeat interval complexity metrics and machine learning to predict impending malignant ventricular arrhythmias with high accuracy.