LOS ALTOS, Calif., July 11, 2012 /PRNewswire/ — If you and your spouse are trying to conceive but have been unsuccessful, you may be considering fertility treatment. But it can be hard to decide whether to undergo expensive yet potentially high-yield procedures, such as in vitro fertilization (IVF).
To help you decide, Univfy Inc., based in Los Altos, Calif., introduces PreIVF, a personalized prognostic test for patients considering IVF for the first time. PreIVF is a test taken online, using information from your medical records. It can provide a personalized prediction of your chances of having a baby with a first IVF treatment. You can use PreIVF whether you are just learning about fertility treatment from your primary care physician, or if you already had a failed intrauterine insemination (IUI) or other treatment from a fertility specialist.
“Patients often encounter difficult decisions in their fertility journey,” says Mylene Yao, MD, CEO and co-founder of Univfy Inc. “We can help alleviate some uncertainty for patients by providing insights into their personalized chances of having a baby with IVF.”
Univfy developed its fertility predictive technologies from research originally conducted at Stanford University (Jun et al., PLoS ONE 2008; Banerjee et al., PNAS 2010) and further developed through collaboration with other IVF clinics, including Boston IVF (Lannon et al., Fertility and Sterility 2012), IVI-Valencia in Spain, and the Ottawa Fertility Centre in Canada. Validated by a diverse, international data set, Univfy is the first to apply powerful statistical analysis and machine learning to evaluate simultaneously multiple factors affecting your chances and to extract each factor’s unique predictive contribution. These factors include body mass index, age, clinical diagnoses, laboratory or ultrasound prognostic tests such as Serum Day 3 FSH or antral follicle count, and your male partner’s age and sperm count. Univfy’s PreIVF test predictions are proven to be more accurate than conventional reporting by most websites and agencies using patients’ age as a primary factor. With PreIVF, many women will learn that their chances of a successful first IVF cycle are higher than that predicted by age-based statistics.