Researchers are developing an AI-powered test that utilizes a single piece of dried blood to detect three common cancers: pancreatic, gastric, and colorectal. Leveraging machine learning and analyzing metabolites in the blood, the test can differentiate between cancer patients and healthy individuals with high accuracy in just minutes. This tool has the potential to revolutionize cancer diagnosis, as it could provide an early detection method for these deadly diseases that are often difficult to diagnose in their early stages. The test could potentially diagnose these cancers with a small blood sample of less than 0.05 milliliters, making it a convenient and accessible method. The findings of the study, published in Nature Sustainability, suggest that the test could significantly improve the diagnosis and treatment of these cancers.