Preeti
Researchers have developed a simple and inexpensive experimental test for diagnosing cancer using a tiny dried blood spot. The test, which has a sensitivity of 82-100% and takes only a few minutes, could be particularly beneficial for people in low-income countries. The test focuses on pancreatic, gastric, and colorectal cancer and utilizes artificial intelligence (AI) to detect cancer-related metabolic changes. This approach is faster, more cost-effective, and potentially more accurate than current diagnostic techniques.
The use of dried blood spot tests for diagnosing cancer is more affordable and easier to transport compared to whole blood samples. The experimental test showed a higher sensitivity than current whole blood tests, and the samples remained viable under various temperatures and environmental conditions. Additionally, the blood spot test requires less pretreatment and physical space, making it a safer and more efficient option for cancer diagnosis.
Implementing this technology on a population-wide scale could significantly reduce undiagnosed cancer cases in underserved populations. The cost-effectiveness of the blood spot tests is highlighted by the example of shipping 100 filter paper dried blood spot tests compared to liquid serum specimens. However, further validation and prospective studies are needed before this technology can be widely adopted in clinical settings. Overall, the potential for a cost-effective, rapid AI-powered dry blood spot test for cancer diagnosis is promising and could have a major impact on detecting missed cancers.
Source link
Source link: https://www.medicalnewstoday.com/articles/ai-tool-may-help-detect-cancer-few-minutes-drop-blood
GIPHY App Key not set. Please check settings