Inspired by the Labyrinth of Greek mythology, a new chip etched with fluid channels sends blood samples through a hydrodynamic maze to separate out rare circulating cancer cells into a relatively clean stream for analysis. ...
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Metabolic fingerprints from blood samples could render important new knowledge on the connection between food and health. A new study finds that diet is one of the strongest predictors of type 2 diabetes risk in older women.
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There is an increased risk of thyroid cancer associated with lower-than-normal thyroid hormone levels, a finding that could have a major impact on patients fighting the disease.
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Examining vitamin D levels in the blood may help predict whether a person is at risk of developing multiple sclerosis (MS), according to a large new study published in the September 13, 2017, online issue of Neurology, the ...
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Space flight anemia - the reduction of circulating red blood cells (RBCs) during time spent in space - is an established phenomenon, but it may not be a major concern during long-duration space missions, according to a study ...
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In the largest and most conclusive study of its kind, researchers have analysed blood samples to create a novel and non-invasive way of helping to diagnose Alzheimer's disease and distinguishing between different types of ...
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Scientists at the Stanford University School of Medicine have completed the first-ever characterization of the meticulously timed immune system changes in women that occur during pregnancy.
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(Phys.org)—A large team of researchers from France and Cambodia has identified gene expression patterns and immune signatures associated with dengue fever symptoms in people who demonstrate an immune response. In their ...
In a randomized, double-blind, clinical trial of 212 patients, Johns Hopkins researchers have found that the routine use of fentanyl for sedation and comfort during coronary angiography reduces the effectiveness of the platelet ...
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Researchers at the University of Glasgow have announced a new technology-based approach that could lead to a more accurate identification of people at high risk of type 2 diabetes.
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