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Arthur T Knackerbracket has found the following story:

Scientists at the TSU Laboratory of Biophotonics, working with Tomsk National Research Medical Center (TNIMC) oncologists, have developed a new approach to the diagnosis of adenocarcinoma, a malignant tumor of the prostate gland, that uses artificial intelligence to identify oncopathology and determine the stage of the disease. Using machine learning, a computer model was taught to distinguish between healthy tissues and pathology with 100 percent accuracy.

The gold standard for the diagnosis of cancer is histology, during which tissue from a patient is examined for malignant changes. So that the samples can be stored for a long time, they are dehydrated and packed in paraffin. Then experts make thin sections and examine these slides under a microscope.

"Usually, several people work with prostate biopsy samples, and after studying the sections, they make a collegial decision," says Yuri Kistenev, executive director of the TSU Institute of Biomedicine. "The human factor has not been eliminated, therefore, due to subjective assessment, there are erroneous conclusions. We tried to solve this problem using IT technologies—we developed a computer model and, through machine learning, taught it how to detect abnormal areas using a tool such as terahertz spectroscopy."

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