Explore more about: Image processing

June 2, 2021
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A team of NIH microscopists and computer scientists used a type of artificial intelligence called a neural network to obtain clearer pictures of cells at work even with extremely low, cell-friendly light levels.
November 24, 2020
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A team of engineers has demonstrated how a new algorithm they developed was able to successfully predict whether or not a COVID-19 patient would need ICU intervention. This artificial intelligence-based approach could be a valuable tool in determining a proper course of treatment for individual patients.
August 22, 2020
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NIBIB-funded researchers at NYU Langone Health worked with Facebook AI researchers to develop a method to speed up MRI scans.
August 22, 2020
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NIBIB-funded researchers have developed a way to use artificial intelligence to speed up MRI imaging without sacrificing quality.
December 13, 2019
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QuantX backstops radiologists with AI-enabled software that analyzes MRIs to confirm or challenge their diagnosis.
March 15, 2021
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A new deep learning technique constructs better macroscopic medical images of cells and tissues at ultra-fast speeds.
December 3, 2020
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Tuberculosis meningitis causes life-threatening inflammation of the membranes in the brain and spinal cord.
December 3, 2020
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Researchers funded by NIH have developed an imaging method that reveals a much more diverse and flexible DNA-protein chromatin chain than previously thought. The result suggests a nimbler structure to regulate gene expression, and provide a mechanism for chemical modifications of DNA to be maintained as cells divide.
September 3, 2019
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Scientists funded by NIH have developed a new way to identify the state and fate of individual stem cells earlier than previously possible. Stem cells are undifferentiated, serving as building blocks for the various tissues and organs of the body. Understanding a stem cell’s fate—the type of cell it will eventually become—and how far along it is in that process can help scientists better manipulate cells for therapies.
October 3, 2019
News
NIBIB-funded researchers at the University of Washington have pioneered an approach to image functional activity in the brains of individual fetuses, allowing a better look at how functional networks within the brain develop.