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...

MIT’s New Nanoparticle-based Technology Detects Cancer by Using a Multimodal Combination of Urine Tests and Medical Imaging

Use of such precision diagnostics offer ‘early detection, localization, and the opportunity to monitor response to therapy,’ say the MIT scientists Oncologists and medical laboratory scientists know that most clinical laboratory tests currently used to diagnose cancer are either based on medical imaging technologies—such as CT scans and mammography—or on molecular diagnostics that detect cancer molecules in the body’s urine or blood. Now, in a study being conducted at the Massachusetts...

Companies Developing Non-invasive and Wearable Glucose Monitoring Devices That Can Report Test Data in Real Time to Physicians and Clinical Laboratories

Goal is to shift glucose testing away from medical laboratories and make it easier for diabetics to do their own testing, while capturing glucose test results in patient records Because of the tremendous volume of glucose tests performed daily throughout the world, many companies are developing non-invasive methods for glucose testing. Their goal is a patient-friendly technology that does not require a needle stick or venipuncture and may even eliminate the need to send specimens to a medical...
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