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...

German Feasibility Study Shows Cerenkov Luminescence Imaging May Provide New Technique for Identifying Positive Margins during Prostatectomies

Prostate cancer currently has the highest positive surgical margin rate of any cancer in men, with 21% of patients left with cancer cells at the resection site Cancer surgeons may soon have a new technology to help them completely remove cancerous tissue during prostate cancer surgery. Called Cerenkov luminescence imaging (CLI), this new diagnostic technology under development at the Essen University Hospital in Essen, Germany, will be of interest to surgical pathologists since it could become...
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