On Jan. 13, 2023, a team of researchers including faculty at the Translational Genomics Research Institute (TGen), part of City of Hope, published a study that combines genomics and machine learning in the quest to make early detection of cancer more affordable and widely available.

Published this week in Science Translational Medicine, researchers used a machine-learning model to identify DNA fragments in blood plasma shed by cancer cells. The technique uses readily available lab materials, and it detected cancers at an early stage among nearly all of the samples they studied.