Cancer can be accurately diagnosed using an artificial intelligence urine test

Prostate cancer is one of the most common types of cancer in men. Patients are determined to have prostate cancer primarily based on * PSA, a blood cancer factor. However, as the accuracy of the diagnosis is up to 30%, a considerable number of patients undergo an additional invasive biopsy and suffer from such resulting side effects, such as bleeding and pain.

* Prostate specific antigen (PSA): a prostate specific antigen (a cancer factor) used as an index for prostate cancer screening.

The Korean Institute of Science and Technology (KIST) announced that the collaborative research team led by Dr. Kwan Hyi Lee of the Biomaterials Research Center and Professor In Gab Jeong of Asan Medical Center has developed a technique for diagnosing prostate cancer. from urine in just twenty minutes. with an accuracy of almost 100%. The research team developed this technique by introducing an intelligent AI analysis method to an ultrasound biosensor based on electrical signal.

As a non-invasive method, a diagnostic test that uses urine is convenient for patients and does not require an invasive biopsy, thus diagnosing cancer without side effects. However, because the concentration of cancer factors ** is low in the urine, a urine-based biosensor has been used to classify risk groups, rather than for an accurate diagnosis so far.

** Cancer factor: a cancer-related biological index that can objectively measure and evaluate the drug’s reactivity to a normal biological process, disease progression, and method of treatment.

Dr. Lee’s KIST team worked to develop a technique for diagnosing urinary tract disease using an ultrasound-based biosensor based on an electrical signal. An approach that uses a single cancer factor associated with a cancer diagnosis has been limited in increasing the accuracy of the diagnosis to over 90%. However, to overcome this limitation, the team simultaneously used different types of cancer factors instead of using just one to innovatively enhance the accuracy of the diagnosis.

The team developed an ultrasensitive semiconductor sensor system capable of simultaneously measuring trace amounts of four selected cancer factors in the urine to diagnose prostate cancer. They trained AI using the correlation between the four cancer factors, which were obtained from the developed sensor. The trained AI algorithm was then used to identify those with prostate cancer by analyzing complex patterns of detected signals. The diagnosis of prostate cancer using AI analysis successfully detected 76 urine samples with an accuracy of almost 100%.

“For patients who need surgery and / or treatment, cancer will be diagnosed with high accuracy by using urine to minimize biopsy and unnecessary treatments, which can dramatically reduce medical costs and medical staff fatigue,” said Professor Jeong de at Asan Medical Center. “This research has developed an intelligent biosensor that can quickly diagnose prostate cancer with almost 100% accuracy with just a urine test and can be further used in the accurate diagnosis of other cancers using a urine test.” said Dr. Lee of KIST. .

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This research was supported by the Midcareer Researcher Foundation of the Korea National Research Foundation, government departments (Ministry of Science and ICT, Ministry of Trade and Industry, Ministry of Health and Social Protection and Ministry of Food and Drug Safety) and Medical Devices Development Fund. from Korea, funded by the Ministry of Science and ICT (MSIT). The research results were published in the latest issue of ACS Nano, a leading international academic journal in the field of nano.