TSU scientists' algorithm will diagnose thyroid tumors faster
Researchers from 10 leading centers in Russia, including TSU, have developed a new approach to diagnosing thyroid tumors, based on a blood test. The main diagnostic tools are spectroscopy and machine learning. The role of the TSU scientists was to create methods of analysis using artificial intelligence. The results are presented in the highly ranked journal Biomedical Optics Express (Q1).
The methods used today to diagnose thyroid tumors are either complicated or not accurate enough,- explains Yuri Kistenev, head of the TSU Laboratory of Biophotonics and executive director of the TSU Institute of Biomedicine. -Our approach involves the analysis of molecular markers of blood by terahertz spectroscopy and machine learning.