'Univfy' recently designed its own IVF Prediction Tests, which allow patients to use their own reproductive data to predict their probability of success. With more and more consumers considering IVF, the technology could help interested couples figure out whether the treatment is the right option for their family.
The IVF Prediction Tests are designed to use patients' own reproductive data to determine their probability of IVF success. This is done by gathering information about the age of each patient, their BMI levels, semen analysis, ovarian reserves and clinical diagnoses. The information is then fed through scientifically validated algorithms developed by researchers at Stanford University.
Instead of relying on the age-based estimates that are commonly used by physicians, Univfy's IVF Prediction Tests give patients more accurate information about their potential for success. In fact, the Univfy tests have proven 1,000 times more accurate that than age-based estimates.
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