Researchers at the University of Michigan have unveiled a groundbreaking blood test that can detect over 50 types of cancer with unprecedented accuracy. The test, which uses advanced machine learning algorithms to analyze cell-free DNA in the bloodstream, has shown promising results in early clinical trials.

The technology, developed by a team led by Dr. James Chen at the U-M Rogel Cancer Center, can not only detect the presence of cancer but also pinpoint its location in the body with 93% accuracy. This breakthrough could lead to earlier cancer diagnoses and potentially save millions of lives.

“This is a game-changer in cancer detection,” Dr. Chen stated. “Early diagnosis is crucial for successful treatment, and this test could revolutionize how we screen for cancer.”

The university has partnered with several major healthcare providers to begin larger-scale trials, with hopes of making the test widely available within the next two years. The development has attracted significant attention from the medical community and investors, with potential to reshape cancer screening protocols worldwide.