Research on a bacterial toxin first discovered in Adelaide has led to the development a new blood test for the early diagnosis of ovarian cancer.
Scientists from McGill University have developed a novel technology to quickly analyze hundreds of proteins from a single blood sample in a cost-effective manner. There are around 20,000 proteins present in our bodies. But till date, only one specific protein can be detected at a time.
The most prevalent type of kidney cancer, clear cell kidney cancer, could be predicted years prior to clinical diagnosis by a crucial biomarker of kidney disease.
Siemens Health received US-FDA (US-Food and Drug Administration) clearance for two highly sensitive troponin assays, which detect protein levels released into the bloodstream during a heart attack allowing them to be made available in the U.S.
Around 54 million to 60 million people throughout the world are annually surviving with Traumatic Brain Injury annually. CT scan tests of the head are the common diagnostic choices in such cases. This extensive use of CT scans leads to unnecessary radiation exposure with high costs.
Lawson Health Research Institute, Memorial Sloan Kettering Cancer Center, the Royal Marsden and Epic Sciences conducted an international mutual study which discovered a novel blood test that can foresee advanced prostate cancer patient response to particular treatments, resulting in better survival.
The HCV RNA PCR test is a blood test that is advised by doctors in suspected patients to diagnose Hepatitis C infection. It calculates the hepatitis C viral load in the bloodstream. This article gives an insight into how the test functions and what the results signify.
Viral hepatitis is a major global health issue since it is the seventh leading cause of death worldwide. Around half of hepatitis-related deaths reported are due to the hepatitis B virus infection, which is transmitted through blood and body fluids.
The research team claimed that the effectiveness of drugs depends on the time of administration on a personalized level. Their goal was to identify the biomarkers in blood to characterize the ‘internal time’ of an individual.
In response to the issue, the scientific team of Professor Yazdan Yazdanpanah's Inserm and Sylvie Deuffic-Burban created a mathematical model to estimate the efficiency and cost-effectiveness of varied screening strategies which includes universal screening.
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