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...

University of Texas Researchers Reveal a Portable Cancer Detection Device with the Potential to Significantly Reduce the Number of Skin Biopsies Sent to Dermatopathologists

Team of bioengineers succeeds in putting three different imaging technologies into a handheld probe that could be used by physicians to assess skin lesions in their offices Dermatopathologists and pathology practice administrators will be keenly interested in a new, hand-held diagnostic device that is designed to reduce the need for skin biopsies. Because of high volume of skin biopsies referred to pathologists, any significant reduction in the number of such case referrals would have negative...
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