Diagnosing Ovarian Cancer Using Perception-based Nanosensors and Machine Learning

Two studies show the accuracy of perception-based systems in detecting disease biomarkers without needing molecular recognition elements, such as antibodies Researchers from multiple academic and research institutions have collaborated to develop a non-conventional machine learning-based technology for identifying and measuring biomarkers to detect ovarian cancer without the need for molecular identification elements, such as antibodies. Traditional clinical laboratory methods for detecting...

Carbon Nanotubes Hold Promise for Use in Speedy, Low-cost, Point-of-Care Medical Laboratory Tests

Clinical laboratory managers and pathologists may see more testing shifting to point-of-care For years, advocates of carbon nanotubes have predicted that this technology can be used to improve the accuracy and speed of clinical laboratory tests. Researchers at Oregon State University (OSU) now report that they have improved the speed at which a carbon nanotube-based bio-sensor can complete a diagnostic analysis. Experts believe that advances in this area of technology will make it possible to...
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