Masahiro Nakamura
Visiting Researcher

Isotope Science Center　

Board Member, Kansai Healthcare Science Informatics

Email address
nakamura.masahiro@mail.u-tokyo.ac.jp

Areas of expertise
Multi-omics, AI, Data-science

Research Theme

• Stem cell fate prediction using single cell trajectory analyses
• Development of methods for single cell protein expression measurements
• Development of methods for exploring single cell epigenetics
• Estimating the risk of developing disease in healthy people
• Development of disease treatment methods using exosomes

Research Title

Predicting the fate of cells, tissues, and individuals (humans) by multi-omics analysis and machine learning

Research slogan

Aiming for health application fields by integrating micro-meso technology and data science

Research Purpose

In living organisms, cells interact with substances in the micro- and meso-region to produce various functions and promote tissue function. Since micro- and meso-scientific techniques have made it possible to measure cellular behavior at the single-cell level, we will develop these techniques while using machine learning to predict the fate of cells, tissues, and individuals. Another issue is what kind of perturbation should be added to predict the fate of cells, tissues, and individuals, and we will develop technologies that enable predictions to be made using perturbed systems.