Decoding Cell Behavior and Disease With AI and Single-Cell Transcriptomics

Scientists from a biotech company observe gene expression changes in millions of cell as they transition from healthy to diseased. Using machine-learning techniques, they are better able to understand these transitions and predict potential therapies. These scientists are hoping to convert gene expression data into digital maps.