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  2. Rho (D) immune globulin - Wikipedia

    en.wikipedia.org/wiki/Rho(D)_immune_globulin

    A rosette test may be falsely positive if the mother is positive for the weak D phenotype and falsely negative if the neonate is weak D. If the mother is positive for the weak D phenotype, the rosette test should not be used; instead, a quantitative test such as the Kleihauer–Betke test or flow cytometry should be utilized. If the rosette ...

  3. Pregnancy test - Wikipedia

    en.wikipedia.org/wiki/Pregnancy_test

    For a qualitative test the thresholds for a positive test are generally determined by an hCG cut-off where at least 95% of pregnant women would get a positive result on the day of their first missed period. [11] Qualitative urine pregnancy tests vary in sensitivity.

  4. Rh disease - Wikipedia

    en.wikipedia.org/wiki/Rh_disease

    The fetal Rh can be screened using non-invasive prenatal testing (NIPT). This test can screen for the fetus's Rh antigen (positive or negative) at the 10th week of gestation using a blood sample drawn from the mother. The Unity test uses NGS technology to look for Rh alleles (genes) in the cell free fetal DNA in the maternal bloodstream.

  5. A week-by-week guide to common pregnancy symptoms - AOL

    www.aol.com/news/week-week-guide-common...

    Pregnancy Symptoms Week 1. It's a bit of a mind-bender, but you aren't actually pregnant during what doctors call "week one" of pregnancy. Instead, week one starts on the first day of your last ...

  6. Hemolytic disease of the newborn (anti-Kell) - Wikipedia

    en.wikipedia.org/wiki/Hemolytic_disease_of_the...

    Mothers who are negative for the Kell 1 antigen develop antibodies after being exposed to red blood cells that are positive for Kell 1.Over half of the cases of hemolytic disease of the newborn owing the anti-Kell antibodies are caused by multiple blood transfusions, with the remainder due to a previous pregnancy with a Kell 1 positive baby.

  7. False positives and false negatives - Wikipedia

    en.wikipedia.org/wiki/False_positives_and_false...

    The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate. In statistical hypothesis testing, this fraction is given the Greek letter α, and 1 − α is defined as the specificity of the test. Increasing the specificity of the test lowers the probability of type I errors ...