AI Could Help Diagnose Cancer With One Spot of Dried Blood
AI is everyday shifting the medical sector. In China scientists have created a test using artificial intelligence that can detect cancer using one spot of dried blood. Thus, I can admit that compared to whole blood samples, the dried blood test was more heat stable, less expensive, and faster to perform.
Cancer: Dried Blood Test
The test also took up less physical space and was easier to transport, making them available to underserved people and less developed countries where the disease is often missed.
As for my view, I can say that before doctors start using these tests on their patients, they need to test the technology on thousands of people to confirm the findings. Besides, cancer remains a significant health burden in many countries due to late diagnoses and the affordability, ease of use and portability of the dried blood spot test could revolutionize cancer screening programs in many countries.
Test
The dried blood spot test is still in its early stages. The AI model needs to be severely tested to ensure it to exactly distinguishes between different types of cancer and avoid false positives.
The several ways cancer can be tested using blood include:
Multi-cancer early detection (MCED) tests
The MCED tests help detect more than type of cancer from a single blood sample. The process involves the look for a DNA and protein from cancer cells.
Cell-free DNA (cfDNA) tests
The test looks for pieces of DNA that tumors release into the blood flow.
Blood-based platelet RNA tests
The tests examine a small portion of blood sample to help detect, classify and locate the location of cancer.
Single-cell genomic analysis
The genomic analysis comprises of separating the circulating tumor cells (CTCs) from blood cells and evaluate the genome of each CTC for change.
WRITTEN BY: AMEDICC.COM
PHOTO CREDIT: GOOGLE.COM