A new blood test that uses artificial intelligence (AI) to detect liver cancer is being developed by researchers at the University of Liverpool.
The test, which is still in the early stages of development, is able to identify cancerous cells in a sample of blood with up to 90% accuracy.
Liver cancer is one of the most common cancers in the world, and is currently the fifth leading cause of cancer death. Early detection of the disease is crucial for successful treatment, but current methods are often inaccurate and invasive.
The new blood test uses a technique called Raman spectroscopy, which uses light to identify the chemical composition of cells. The data from the spectroscopy is then fed into an AI system which has been trained to recognise the patterns that are associated with cancerous cells.
The test is still in the early stages of development, but the researchers are hopeful that it could one day be used to screen for liver cancer in a simple and non-invasive way. If successful, the test could save lives by providing a more accurate and early diagnosis of the disease.
A new blood test that uses artificial intelligence (AI) can detect early-stage liver cancer with high accuracy, according to a study published in the journal Nature Medicine.
The test, called Hepatitis B Virus-Associated Hepatocellular Carcinoma Risk Evaluation (HCCR), uses a machine-learning algorithm to analyze a blood sample for markers of the disease.
In a study of more than 400 people with liver cancer, the test was able to detect the disease at an early stage in more than 80% of cases.
The test could be particularly useful in countries where liver cancer is common, such as China and Japan, where there is no national screening program for the disease.
The AI blood test is already being used in clinics in China and the researchers are working on developing a version for use in the US.