Developers: | St. Petersburg State University |
Date of the premiere of the system: | January 2023 |
Branches: | Pharmaceuticals, Medicine, Healthcare |
2023: Announcement
In January 2023, it became known that scientists at St. Petersburg State University (St. Petersburg State University) have developed a new method for diagnosing cancer of the genitourinary system. The technology does not involve surgery.
Petersburg specialists have created an express diagnostic method based on a urine test. Samples taken are checked using a special set of chemical sensors. The data obtained is processed using machine learning technologies. This was reported by TASS.
The advantage of the new development is in the speed and absence of the need for surgical manipulation. This approach will allow rapid screening of significant populations without the use of expensive equipment. The accuracy of cancer recognition using such a test is 97%.
Checking the results on a large set of samples will make the study even more accurate and bring this procedure to the screening level, Dmitry Kirsanov, professor of the Department of Analytical Chemistry, head of the laboratory of applied chemometrics at St. Petersburg State University, explained.
To search for different diseases, you need to use different sensors, the data processing process will also differ, but there will be no difference for the patient. Moreover, it will be possible to conduct several studies on the analysis of one urine sample, if necessary - on the chemical composition of urine, we will be able to identify different types of cancer, the expert explained. |
The development of a multisensory system for non-invasive rapid screening of prostate cancer and bladder cancer using multisensory urinalysis systems has been carried out since 2019 by St. Petersburg State University in conjunction with ITMO University, Urology Clinic of the Military Medical Academy named after S.M. Kirov and Zhejiang University. The research is supported by grants from the Russian Foundation for Basic Research (RFBR) and the National Science Foundation of China.[1]