ACS Nano: "Sprinkle urine photo"! AI diagnoses prostate cancer with latest breakthrough in just 20 minutes, nearly 100% accuracy

Prostate cancer is one of the leading causes of cancer death in men.
, the diagnosis rate of prostate cancer has been low due to the limited level of detection at this stage.
also makes it difficult to treat prostate cancer, as it may have metastatic or spread by the time it is discovered.
, the Korea Institute of Science and Technology (KIST) has made a major breakthrough in the diagnosis of prostate cancer.
team used artificial intelligence to analyze a variety of factors in prostate cancer to achieve an accurate diagnosis of prostate cancer with nearly 100% accuracy.
, this way of detecting cancer using urine is also expected to enable accurate diagnosis of other diseases.
new study, "Noninvasive Precision Screening of Prostate Cancer by Urinary Multimarker sensor and Human Intelligence Analysis," was published January 21 in the international academic journal ACS Nano.
cancer, which is difficult to detect early, is one of the most common cancers in men.
most prostate cancers grow more slowly and may be asymptomatic early on, it is relatively difficult to detect prostate cancer in a timely manner.
to determine whether a patient has prostate cancer at this stage is a complex task that requires many steps.
, prostate cancer testing for healthy men with no symptoms is controversial.
there are also differences between medical organizations, mainly over whether the benefits of testing outweigh the potential risks.
if people develop associated prostate cancer symptoms and are screened for prostate cancer, the primary screening methods include rectal finger testing (DRE) and prostate-specific antigen (PSA) testing.
during DRE, the doctor inserts the gloved lubrication finger into the patient's rectum to examine the prostate adjacent to the rectum.
if your doctor finds any abnormalities in the texture, shape, or size of the glands, further examination may be required.
, blood samples can be taken from the veins of the arm and prostate cancer detected by analyzing PSA, a naturally occurring substance in the blood.
small amount of PSA present in the blood is normal, but if higher than normal levels are found, it may indicate prostate infection, inflammation, swelling, or cancer.
, however, because PSA tests are only 30% accurate, a significant number of patients require additional invasive biopsies.
invasive biopsies, mainly to collect samples of prostate tissue.
invasive biopsy is generally a prostate puncture biopsy, in which a thin needle is usually inserted into the prostate to collect tissue.
tissue samples in the lab after the test to determine if there are cancer cells.
and this invasive puncture usually has corresponding side effects, such as bleeding or pain.
therefore, the exploration of prostate cancer detection methods has never stopped, and numerous scientific teams have been conducting research in this area to find an efficient and accurate way to detect side effects.
AI urine testing is critical to identifying cancer because it objectively measures and evaluates the drug response of normal biological processes, disease progression, and treatment methods.
, however, the concentration of common cancer factors in urine is low, so this also leads to the fact that urine-based biosensors are now used to classify at-risk groups rather than for accurate diagnosis.
In this latest study, the Korea Institute of Science and Technology announced that a team of researchers led by Dr. Kwan Hyi Lee of the Center for Biomass Research and Professor In Gab Jeong of Asan Medical Center has developed a technology to diagnose prostate cancer from urine in just 20 minutes with nearly 100% accuracy by introducing AI analysis into ultra-sensitive biosensors based on electrical signals.
figure | Dr. Lee Kwan Hyi of KIST (Identify QR codes, see more scholars big data) Dr. Lee's team is trying to diagnose related diseases in urine by using ultra-sensitive biosensors based on electrical signals.
, it is difficult to increase diagnostic accuracy to more than 90% by utilizing a single cancer factor associated with cancer diagnosis.
to overcome this limitation, the team used different types of cancer factors, rather than just one cancer factor, to innovatively improve diagnostic accuracy.
same time, the team developed an ultra-sensitive semiconductor sensor system that simultaneously measures traces of four cancer factors in the urine to diagnose prostate cancer.
Graph | uses ML analysis to collect a set of sensing signals for each patient to filter the patient's PCa.
both algorithms provide greater accuracy, and as the number of biomarkers increases, so does the size of the AUROC (source: KIST) researchers train AI by using correlations between the four cancer factors obtained from the sensors developed.
-trained AI algorithms identify prostate cancer patients by analyzing complex patterns of heartbeats.
successfully tested 76 urine samples with an accuracy of almost 100% in diagnostic tests using AI for prostate cancer.
as a non-invasive test, the use of urine for diagnosis is convenient for patients and does not require an invasive biopsy, which means that cancer screening does not have any side effects.
the potential for AI urine testing, this is not the first time AI has been used in urine testing.
2019, Healthy.io has released Dip.io, a digital test suite that enables patients to collect and analyze urine samples using smartphone apps, dipsticks, and color-coded slides.
Healthy.io tests are designed with ease of use in consideration.
patient waits until the color on the accompanying scale is visible, uses a companion app to attach the photo to the card, then anonymizes, marks, and then transmits the image to the cloud for AI diagnostic testing.
is obvious to patients: taking pictures of urine samples is much easier than driving to a nearby hospital.
for clinicians, such home testing can make waiting rooms simple and help hospital staff prioritize emergencies.
ai-based urine testing system can detect from urinary tract infections to ketosis, kidney disease, pregnancy health and bladder cancer.
and KIST's research has undoubtedly given people confidence in the future of AI urine testing.
Jeong, of asan Medical Center, said:
The minimization of unnecessary biopsies and treatments for patients in need of surgical treatment allows for high-precision diagnosis of cancer, thereby significantly reducing medical costs and the workload of medical staff."
the study developed an intelligent biosensors that can quickly diagnose prostate cancer with almost 100% accuracy through urine testing alone, and can be used further for the accurate diagnosis of other cancers through urine tests.
" of course, more clinical trials are needed to verify the accuracy and specificity of the latest AI urine testing technology.
believe that with more relevant research breakthroughs, we will be able to solve the problem of prostate cancer treatment and diagnosis at an early age for the benefit of more male patients.