Researchers have found a novel, non-invasive technique for measuring brain hot spots caused by electromagnetic radiation from mobile phones, according to a study published today.
Dec 17, 2012
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Vision is a complex process. The visual perception of the environment is created by a combination of different wavelengths of light, which are decoded as colors and brightness in the brain. Photoreceptors in the retina first ...
Dec 22, 2023
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The implementation of artificial intelligence-powered large vessel occlusion (LVO) detection software for acute stroke triage can improve endovascular thrombectomy treatment times, according to new research from University ...
Sep 18, 2023
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A stretch of DNA that hops around the human genome plays a role in premature aging disorders, scientists at the Salk Institute and King Abdullah University of Science and Technology (KAUST) in Saudi Arabia have discovered. ...
Aug 10, 2022
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A mobile app that uses crowd-sourced data on COVID-19 symptoms can accurately identify where local coronavirus outbreaks will appear, according to Johns Hopkins Medicine scientists who developed the app.
May 6, 2021
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A laboratory test developed by a research team led by Johns Hopkins University bioengineers can accurately pinpoint, capture and analyze the deadliest cells in the most common and aggressive brain cancer in adults.
Oct 15, 2020
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How do mobile cell types like leukocytes or metastatic cancer cells reach their place of action during immune surveillance or cancer dissemination, respectively? The research group around Michael Sixt at IST Austria has now ...
Apr 3, 2019
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For some years research teams have explored and attempted to sort out any evidence concerning a cause-effect situation with mobile phones and cancer. Interest in the question does not disappear. Scientific groups prefer to ...
New research that combines cell phone data from 15 million people in Kenya with detailed information on the regional incidence of malaria has revealed, on the largest scale so far, how human travel patterns contribute to ...
Oct 11, 2012
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A smartphone app using artificial intelligence technology to detect changes in the voice of a person with heart failure predicted more than 75% of hospitalizations about three weeks before they happened, according to late-breaking ...
Nov 14, 2023
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