With recent leaps in artificial intelligence, there is major potential to turn computing advances into gains for human health.
Over the past three decades, cancer genetics has transformed precision oncology. Germline testing has advanced from single-gene Sanger sequencing to parallel sequencing of hundreds of genes, while tumor (somatic) testing has expanded with the rise of targeted therapies based on point mutations, copy number changes and other alterations.
