“Combining technologies of biophotonics and machine learning opens a whole new world of possibilities for solving various problems of diagnostics,” says Valentin Kupriyanov, postgraduate student at the TSU Faculty of Physics, graduate of the autonomous master’s degree program Biophotonics. “I started learning these instruments while studying in the TSU master’s program. Thanks to the scholarship, I can study these technologies at two leading universities – TSU and Université de Lorraine. They both closely collaborate with research universities that specialize in oncology treatment and diagnostics, so these universities have a unique opportunity to implement AI machine learning in real-life conditions and test new approaches in partner clinics.”
“These instruments are very important for our student, because they reveal a great deal of information on skin pathologies (changes in structure, chemical composition, etc.),” explains Yury Kistenev, executive director of the Institute of Biomedicine. “They enable us to design simple but effective methods of diagnosing noninvasive malignant skin neoplasms. Moreover, hyperspectral imaging technology allows us to create simple and low-budget devices.”Currently, doctors use optical tools with a short wavelength range to visually examine samples. Biophotonic spectrometers have a wider wavelength range. Combining hyperspectral imaging with the possibilities of machine learning can be very helpful for large-scale diagnostics.