A breakthrough blood test developed by researchers at the University of Oxford has shown promising results in detecting multiple types of cancer in their earliest stages. The test, named TriOx, uses machine learning to analyze DNA features in blood samples and identify subtle signs of cancer.
The study tested six cancer types – colorectal, oesophageal, pancreatic, renal, ovarian, and breast – and found that TriOx accurately detected cancer at an early stage across all types. This could lead to earlier treatment and improved survival rates for millions worldwide.
Compared to current detection methods, the TriOx test is faster, more sensitive, and minimally invasive. It can also distinguish between people with and without cancer, reducing unnecessary procedures and enabling timely treatment.
While still in development, researchers believe that TriOx has the potential to revolutionize screening and diagnostic practices by enabling routine blood tests for early cancer detection. The team plans to further develop and validate the test across more cancer types and larger patient groups.
Source: https://uk.news.yahoo.com/oxford-university-develops-blood-test-200000994.html