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UMass Lowell Chemistry Students Working on Gel to Remove Harmful PFAS from Drinking Water

UMass Lowell Chemistry Students Working on Gel to Remove Harmful PFAS from Drinking Water
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United States , James Reuther , Shayesteh Tafazoli , Dylan Shuster , Umass Lowell , Us Geological , Massachusetts Technology Transfer Center , Assistant Professor James Reuther ,

New 3D imaging technique helps detect breast cancer, COVID-19, other diseases


New 3D imaging technique helps detect breast cancer, COVID-19, other diseases
A research team led by UMass Lowell is pioneering a new 3D imaging technique to better detect breast cancer and other diseases, including COVID-19.
The noninvasive medical technology uses specialized contrasting dye that recognizes breast cancer cells, allowing practitioners to better visualize human tissue inside the body. The dye amplifies the X-ray signal in tumors when used together with a state-of-the-art computed tomography (CT) scanner, called a photon-counting spectral CT, which produces multi-colored, 3D images.
The contrast agents, combined with spectral CT and machine learning, could lead to a more precise diagnosis of the disease and assist significantly in early intervention, said UMass Lowell Chemistry Assistant Prof. Manos Gkikas, who is leading the project, which is funded by a three-year, $750,000 grant from the Massachusetts Life Sciences Center. ....

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Researchers Pioneer 3D Imaging to Detect Breast Cancer, COVID-19 and Other Diseases


LOWELL, Mass. – A research team led by UMass Lowell is pioneering a new 3D imaging technique to better detect breast cancer and other diseases, including COVID-19. 
The noninvasive medical technology uses specialized contrasting dye that recognizes breast cancer cells, allowing practitioners to better visualize human tissue inside the body. The dye amplifies the X-ray signal in tumors when used together with a state-of-the-art computed tomography (CT) scanner, called a “photon-counting spectral CT,” which produces multi-colored, 3D images.
“The contrast agents, combined with spectral CT and machine learning, could lead to a more precise diagnosis of the disease and assist significantly in early intervention,” said UMass Lowell Chemistry Assistant Prof. Manos Gkikas, who is leading the project, which is funded by a three-year, $750,000 grant from the Massachusetts Life Sciences Center. ....

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