Researchers have developed a new sensor technology that can detect ovarian cancer in its early stages using quantum defect-tailored carbon nanotubes and machine learning algorithms. This breakthrough could significantly improve survival rates for ovarian cancer patients, as early detection is crucial for effective treatment. The technology works by identifying specific biomarkers in serum samples, providing a more accurate diagnosis than current methods. This interdisciplinary research collaboration between Memorial Sloan-Kettering Cancer Center, Lehigh University, and the NIST Material Measurement Laboratory demonstrates the potential for quantum technologies to revolutionize cancer detection and treatment.
Source: https://www.nist.gov/awards/2023-life-sciences-invention-year-ming-zheng
Keywords: nanotubes, cancer, machine learning
