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CPU-Z is more comprehensive in virtually all areas compared to the tools provided in the Windows to identify various hardware components, and thus assists in identifying certain components without the need of opening the case; particularly the core revision and RAM clock rate. It also provides information on the system's GPU.
As with most blood tests, false-negatives can happen, meaning results could come back negative when a cancer does exist — although Grail reports that negative cancer test results from Galleri ...
The Papanicolaou smear ("Pap" smear) is a widely used cancer screening test for cervical cancer. DNA-based tests to identify the virus are also available. [12] Herpesviruses are a third group of common cancer-causing viruses. Two types of herpesviruses have been associated with cancer: the Epstein–Barr virus (EBV) and human herpesvirus 8 (HHV ...
All cancer screening tests generate both false-positive and false-negative results, with a tendency to yield more false positives. [10] False-negative tests may provide a false sense of reassurance, possibly leading to a bad prognosis if the cancer is diagnosed at a later stage, despite the utilization of surgeries, therapies, and other treatments.
The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.
Specificity indicates how well-targeted the test is to the virus in question. Highly specific tests pick up only the virus in question. Non-selective tests pick up other viruses as well. A 90% specific test will correctly identify 90% of those who are uninfected, leaving 10% with a false positive result. [13]
A positive result in a test with high specificity can be useful for "ruling in" disease, since the test rarely gives positive results in healthy patients. [5] A test with 100% specificity will recognize all patients without the disease by testing negative, so a positive test result would definitively rule in the presence of the disease.
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