A research team led by Professor Takuya Yamamoto and Assistant Professor Ryusaku Matsumoto (Department of Life Science Frontiers) has developed a machine learning model that enables early prediction of hypothalamus–pituitary organoid formation from human iPS cells to aid in organoid research and regenerative medicine.
Predicting stem cell-derived organoid quality with machine learning
