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...

Massachusetts General Hospital Researchers Develop Tool for Detecting Lung Cancer from the Metabolites in a Drop of Blood

Researchers say their method can trace ancestry back 100,000 years and could lay groundwork for identifying new genetic markers for diseases that could be used in clinical laboratory tests Cheaper, faster, and more accurate genomic sequencing technologies are deepening scientific knowledge of the human genome. Now, UK researchers at the University of Oxford have used this genomic data to create the largest-ever human family tree, enabling individuals to trace their ancestry back 100,000 years....

Mitchell Cancer Institute in Alabama Combines New Robotic Method for Detecting and Excising Biopsies with Rapid On-site Evaluation (ROSE) to Speed Diagnosis of Lung Cancer

Combining robotic-assisted bronchoscopy with rapid on-site evaluation by cytopathologists enables cancer evaluation and diagnosis in one procedure New technologies are making it possible to both collect a tissue biopsy and diagnose lung cancer during the same procedure. Cytopathologist are essential in this unique approach, which has the potential to greatly shorten the time required to diagnose lung cancer. At USA Health Mitchell Cancer Institute in Alabama, a team consisting of pulmonology,...

Dermatopathologists May Soon Have Useful New Tool That Uses AI Algorithm to Detect Melanoma in Wide-field Images of Skin Lesions Taken with Smartphones

MIT’s deep learning artificial intelligence algorithm demonstrates how similar new technologies and smartphones can be combined to give dermatologists and dermatopathologists valuable new ways to diagnose skin cancer from digital images Scientists at the Massachusetts Institute of Technology (MIT) and other Boston-area research institutions have developed an artificial intelligence (AI) algorithm that detects melanoma in wide-field images of skin lesions taken on smartphones. And its use could...

New Study Shows Dogs Can be Trained to Sniff Out Presence of Prostate Cancer in Urine Samples

Determining how dogs do this may lead to biomarkers for new clinical laboratory diagnostics tests Development of new diagnostic olfactory tools for prostate and other cancers is expected to result from research now being conducted by a consortium of researchers at different universities and institutes. To identify new biomarkers, these scientists are studying how dogs can detect the presence of prostate cancer by sniffing urine specimens. Funded by a grant from the Prostate Cancer Foundation,...
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