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  2. Diagnosis of HIV/AIDS - Wikipedia

    en.wikipedia.org/wiki/Diagnosis_of_HIV/AIDS

    When the ELISA test is combined with Western Blot, the rate of false positives is extremely low, and diagnostic accuracy is very high (see below). HIV antibody tests are highly sensitive, meaning they react preferentially with HIV antibodies, but not all positive or inconclusive HIV ELISA tests mean the person is infected by HIV.

  3. ELISA - Wikipedia

    en.wikipedia.org/wiki/ELISA

    The ELISA was the first screening test widely used for HIV because of its high sensitivity. In an ELISA, a person's serum is diluted 400 times and applied to a plate to which HIV antigens are attached. If antibodies to HIV are present in the serum, they may bind to these HIV antigens.

  4. Talk:Diagnosis of HIV/AIDS - Wikipedia

    en.wikipedia.org/wiki/Talk:Diagnosis_of_HIV/AIDS

    However, the accuracy of serologic testing has in fact been verified by isolation and culture of HIV and by detection of HIV RNA by PCR; these are widely accepted "gold standards" in microbiology.[18][19] While the AIDS dissidents focused on individual components of HIV testing, the combination of ELISA and Western Blot used for the diagnosis ...

  5. OraQuick - Wikipedia

    en.wikipedia.org/wiki/OraQuick

    OraQuick In-Home HIV Testing is expected to provide accurate results at 3 months from exposure since this is the amount of time it takes for people to develop antibodies to HIV. [14] A negative test result does not confirm individuals are not infected by HIV.

  6. Sensitivity and specificity - Wikipedia

    en.wikipedia.org/wiki/Sensitivity_and_specificity

    In medical diagnosis, test sensitivity is the ability of a test to correctly identify those with the disease (true positive rate), whereas test specificity is the ability of the test to correctly identify those without the disease (true negative rate). If 100 patients known to have a disease were tested, and 43 test positive, then the test has ...

  7. Positive and negative predictive values - Wikipedia

    en.wikipedia.org/wiki/Positive_and_negative...

    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.

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