Hard Science

This self-learning system can diagnose cancer in just two days


Researchers from Denmark came up with a new computer diagnostics algorithm that uses DNA analysis to diagnose several different types of cancer in as little as two days. The Technical University of Denmark (DTU) coined the name “TumorTracer” for the self-learning system, which begins by analyzing a huge number of samples and ultimately derives a list of primary localizations for the cancer. So far, TumorTracer has been performing with an 85% success rate. Going forward, the team at DTU believes that this early detection system can dramatically increase the patient’s chances of full recovery. As the time required for DNA sequencing continues to decrease, the team believes that this two day period can be cut even shorter.


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