Scientists utilize machine learning-based classifiers to differentiate lung cancer and noncancerPeer-Reviewed Publication Institute of Science Tokyo image: Scientists utilized zinc oxide nanowires to capture cancer-associated miRNAs in urinary extracellular vesicles. By integrating machine learning analysis, they identified specific miRNA ensembles that differentiate lung cancer patients from healthy individuals, showing promise as a non-invasive, early-stage cancer...
Category: <span>Detection</span>
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A step toward safer X-rays with new detector technology
Peer-Reviewed Publication American Chemical Society image: A new X-ray detector produces a high-quality radiograph that shows a metal needle (top right) and the interior of a USB drive (bottom right) using lower doses of electromagnetic radiation than previous detectors.view more Credit: Adapted from ACS Central Science 2024, DOI: https://doi.org/10.1021/acscentsci.4c01296 X-rays are a common component of diagnostic testing...
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Artificial sensory cilia can monitor internal biomarkers to detect and assess airway diseases
by Vanderbilt University Credit: Vanderbilt University Xiaoguang Dong, assistant professor of mechanical engineering at Vanderbilt University, is leading a team of researchers that has developed a system of artificial cilia capable of monitoring mucus conditions in human airways to better detect infection, airway obstruction, or the severity of diseases like cystic fibrosis (CF), chronic obstructive pulmonary...
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Detecting Type 2 Diabetes Through Voice: How Does It Work?
An international study, Colive Voice, presented at the European Association for the Study of Diabetes (EASD) 2024 conference, shows that patients with type 2 diabetes (T2D) have different voice characteristics compared with healthy controls of the same age and gender. These results “open up possibilities for developing a first-line, noninvasive, and rapid screening tool for T2D, feasible with just...
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Discovery of key mechanism in Huntington’s disease could pave the way for early detection and treatment
by University of Oxford TrkbPenk-KO mice develop hyperactivity following DA increase. Credit: Nature Metabolism (2024). DOI: 10.1038/s42255-024-01155-z Researchers from the University of Oxford have identified a key biochemical mechanism relevant to the development of Huntington’s disease. This discovery opens up the possibility of studying the disease before its clinical onset and eventually stopping its progression. The study, published in Nature Metabolism, has shown...
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ACOG Updates Breast Cancer Screening Guidelines
The American College of Obstetricians and Gynecologists (ACOG) has updated its breast cancer screening guidelines, recommending that individuals at an average risk for breast cancer initiate mammography screening at age 40. This change reflects evolving evidence that starting earlier screening yields greater net benefits in reducing breast cancer mortality, particularly for certain racial groups with higher...
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Remote tool developed to helped detect autism and developmental delay in children with limited access to specialists
by Cambridge University Press Credit: CC0 Public Domain A Ukrainian researcher has developed a new digital tool for detecting autism and developmental delay in children. Her research has been published in Cambridge Prisms: Global Mental Health. The tool incorporates the basic principles of the Kids’ Development Diagnosis and Determining the Risk of Autism (KiDD) methodology, for children aged 1.5...
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Handheld diagnostic performs 1-hour blood tests from a finger prick
Researcher Cooper Thome demonstrates the new acoustic pipette device, which could perform blood tests in as little as an hour Patrick Campbell/CU Boulder View 1 Images Nobody enjoys giving blood samples, but it’s a necessary part of many hospital stays and doctor visits. Soon we might not have to, thanks to a new device that...
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Computational model can predict epilepsy after rare stroke
Credit: Pixabay/CC0 Public Domain Researchers from 15 countries, led by Amsterdam UMC, have developed a way to predict which patients are at risk of epilepsy after a cerebral venous sinus thrombosis (CVT). CVT is a type of stroke that typically affects women between the ages of 20 and 50. The prediction model is now available worldwide free...
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Invention quickly detects earliest sign of heart attack
Fast, accurate blood test could speed results to physicians, first responders Johns Hopkins University image: Johns Hopkins research Peng Zheng with the heart of the invention, a tiny chip with a groundbreaking nanostructured surface on which blood is tested. Credit: Will Kirk/Johns Hopkins University With heart attacks, every second counts. A new blood test diagnoses...