In a study published in Science Translational Medicine and led by professor of surgical oncology Muhammed Murtaza, MBBS, PhD, researchers used a machine-learning model to examine blood plasma for DNA fragments from cancer cells. The technique, which uses readily available lab materials, detected cancers at an early stage among most of the samples they studied.
Murtaza is also the Associate Director of the UW-Madison Center for Human Genomics and Precision Medicine.
Read the full story here: https://news.wisc.edu/a-blood-test-for-cancer-shows-promise-thanks-to-machine-learning/