The use of artificial intelligence (AI) in the field of medicine is opening the doors to very interesting discoveries, including the possibility of detecting the tumor in the blood in a few minutes. Thanks to a new experimental test, researchers have shown that it is possible diagnose cancer using just a small stain of dried blood. This promising test could revolutionize the way we approach early cancer diagnosis, making it quicker, cheaper and more accessible to all.
The experimental test, an innovative AI technology
Il experimental test uses a form of artificial intelligence to detect cancer in the blood. It was designed by Chinese scientists who mainly focused on the pancreatic, stomach and colorectal cancer. This innovative test is based on a technology called nanoparticle-enhanced laser desorption/ionization mass spectrometry (NPELDI MS), which allows for rapid and accurate diagnosis.
Second a published study are Nature Sustainability, the experimental dried blood test is significantly faster, cheaper and more accurate than current whole blood tests and other available diagnostic techniques. With a sensitivity of 82-100%, this test has proven to exceed current diagnostic standards, pioneering a new era in cancer diagnosis.
Tumor, the importance of early diagnosis
Early diagnosis of cancer is crucial to improve patients’ chances of recovery and survival. However, currently, many people do not receive a timely diagnosis due to limitations of current diagnostic techniques. The new experimental test could change this scenario, enabling rapid and accurate diagnosis that could save lives.
Dried blood testing offers a number of advantages over current whole blood tests and other diagnostic techniques. First, it is extremely cheap and easy to perform, requiring only a small spot of dried blood rather than whole blood samples. Additionally, the drying process inactivates some pathogens, making the test safer.
One of the main advantages of the dried blood test is its applicability in low-income countries, where many people do not have access to expensive traditional diagnostic facilities. The test could enable rapid and accurate diagnosis of cancer even in settings with limited resources, thus improving patients’ chances of survival.
Although the experimental test has shown promising results, further studies and tests need to be conducted on a larger sample of people before it can be widely implemented in clinical practice. However, experts are optimistic about this technology‘s potential to change the way we approach early cancer detection.