Detecting Occult Tumors
March 6, 2018 | Terry Sharrer
Johns Hopkins researchers took blood samples from 1,005 patients with various cancers, and with that study set applied molecular diagnostics and artificial intelligence for detecting cancer in another group not knowing they had cancer. Based on eight cancer proteins and sixteen related cancer mutations, the computation successfully determined 98% of occult ovarian tumors, and 70% of pancreatic cancers. Developers believe this could lead to an inexpensive (say $500) liquid biopsy screen. MORE
Image Credit: John Hopkins Kimmel Cancer Center