Machine learning reveals sources of heterogeneity among cells in our bodies

A team of South Korean scientists led by Professor Kim Jae Kyoung of the Biomedical Mathematics Group within the Institute for Basic Science (IBS-BIMAG) discovered the secrets of cell variability in our bodies. The findings of this research are expected to have far-reaching effects, such as improvement in the efficacy of chemotherapy treatments, or the development of a new paradigm in the study of antibiotic-resistant bacteria.