Bioimaging technologies are the eyes that allow doctors to see inside the body in order to diagnose, treat, and monitor disease. Ge Wang, an endowed professor of biomedical engineering at Rensselaer Polytechnic Institute, ...
Oct 19, 2020
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Each year, nearly 120 million units of donated blood flow from donor veins into storage bags at collection centers around the world. The fluid is packed, processed and reserved for later use. But once outside the body, stored ...
Aug 24, 2020
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USC researchers are using AI to fuel more confident diagnosis of renal tumors, as well as more customized treatment for cancer patients and patients infected with COVID-19.
Aug 18, 2020
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Researchers at UC San Francisco have developed a 'digital biomarker' that would use a smartphone's built-in camera to detect Type 2 diabetes—one of the world's top causes of disease and death—potentially providing a low-cost, ...
Aug 17, 2020
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Johns Hopkins radiologists have found that a deep learning algorithm to detect tuberculosis in chest X-rays could be useful for identifying lung abnormalities related to COVID-19. These findings, published online in the Journal ...
Jun 2, 2020
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Tissue biopsy slides stained using hematoxylin and eosin (H&E) dyes are a cornerstone of histopathology, especially for pathologists needing to diagnose and determine the stage of cancers. A research team led by MIT scientists ...
May 25, 2020
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Algorithms and deep learning has enabled Flinders University sleep researchers to dive deep into one of the mysteries of sleep health.
May 18, 2020
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Researchers have developed a computer algorithm based on Artificial Intelligence (AI) that can accurately predict the risk for and diagnose Alzheimer's disease using a combination of brain magnetic resonance imaging (MRI), ...
May 4, 2020
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Coronavirus can be identified automatically from sick patients' lung X-rays using artificial intelligence (AI) developed at Brunel University London.
Apr 28, 2020
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Researchers in Korea have developed a deep learning-based artificial intelligence (AI) algorithm that can accurately classify cutaneous skin disorders, predict malignancy, suggest primary treatment options, and serve as an ...
Mar 31, 2020
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