Researchers have concluded that a simple blood test can accurately reveal ovarian cancer in its early stages, and it can also improve care and results for women with disease “significantly.”
The British Press Agency (BA Media) stated that the test is looking for two different types of blood connotations in women who have symptoms of the disease, which include pain in the pelvis and bloating, after which machine learning is used to monitor patterns that will be difficult for humans to detect.
Experts hope that the British Health Services Authority will one day use the test, after obtaining organizational approval.
The UK records about 7,500 new ovarian cancer cases annually, as it usually affects women who are more than 50 years old.
The disease is usually diagnosed using a mixture of tests and blood tests, and sometimes biopships, but the disease is often monitored very late when it becomes difficult to treat.
It is noteworthy that symptoms such as bloating may not always be clear, while other connotations of ovarian cancer include persistent pain in the abdomen or pelvis, feeling full quickly after eating, and urinating frequently.
The blood test, which was developed by ADX, is looking for the cancer in the bloodstream, even in its early stages.
Cancer cells released parts of the blood that carry small molecules that look like fat known as lipids, as well as certain proteins.
The company, ADX, said this combination of lipids and proteins is like the biological imprint of ovarian cancer.
The test also uses an algorithm, tested on thousands of patient samples, to monitor the fine patterns in these lipids and proteins that indicate the presence of ovarian cancer.
Alex Fisher, chief operational and co -co -co -co -co -co -co -co -participated, said the test can reveal the disease “in its early stages, with greater accuracy than the current tools.