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Current research in molecular imaging involves cellular/molecular biology, chemistry, and medical physics, and is focused on: 1) developing imaging methods to detect previously undetectable types of molecules, 2) expanding the number and types of contrast agents available, and 3) developing functional contrast agents that provide information ...
Washington government agencies around the state are hiring in health care, law and political information technology. These remote jobs with state of WA pay $80k and up in annual salary, paid leave ...
Infectious Disease Research Institute; Institute for Systems Biology; Northeastern University - Seattle Campus; Pacific Northwest Research Institute; PATH; Seattle Children's Research Institute; SightLife; University of Washington Department of Global Health; Washington State University School for Global Animal Health
The Bioproducts, Sciences, and Engineering Laboratory (BSEL) is a joint effort between Washington State University and PNNL, and is located on the WSU-Tri-Cities campus. Within BSEL, researchers are developing technology for converting agricultural byproducts into chemicals for products like plastics, solvents, fibers, pharmaceuticals, and fuel ...
Separately, Massachusetts Institute of Technology (MIT) is home to its own Martinos Imaging Center. The Martinos Center is home to approximately 120 faculty members and more than 100 postdoctoral research fellows and graduate students, and is a resource to hundreds of researchers and students throughout Boston, the United States and the world.
The National Institute of Biomedical Imaging and Bioengineering (NIBIB), founded at the National Institutes of Health (NIH) in 2000, is located in Bethesda, Maryland. It is one of 27 institutes and centers that are part of NIH, an agency of the U.S. Department of Health and Human Services (HHS).
Imaging informatics within Cardiology aids in the molecular phenotyping of CV(Cardiovascular) diseases and unification of CV knowledge. [19] This means that through data extraction, imaging, and machine learning analysis of these data and images allow researchers to categorize diseases based on the characteristics or features discovered.
Functional magnetic resonance imaging or functional MRI (fMRI) measures brain activity by detecting changes associated with blood flow. [1] [2] This technique relies on the fact that cerebral blood flow and neuronal activation are coupled. When an area of the brain is in use, blood flow to that region also increases. [3]
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