Univfy PredictIVF Test Proven to Predict Future IVF Success Accurately
LOS ALTOS, Calif. (April 18, 2013)—Univfy Inc., a pioneer in predictive technology for health care and fertility, today announced the results of a new validation study that proves its Univfy PredictIVF online prediction test is 75 percent more powerful than age-based estimates at accurately predicting the probability of live birth in a patient’s next in vitro fertilization (IVF) cycle based on data from her previous IVF cycles.
Univfy’s VP of Statistics and Technology Bokyung Choi, Ph.D., will present the new findings at the Pacific Coast Reproductive Society’s (PCRS) 61st Annual Meeting, which precedes the 15th annual National Infertility Awareness Week® April 21-27.
The study, “Turning Past IVF Data into Personalized Prognostics through a Validated Multi-Center IVF Prediction Model,” found that over 70 percent of cases analyzed using Univfy PredictIVF tests had a significantly different probability of success compared to age-based estimates. In one third of the cases, Univfy PredictIVF accurately predicted a probability of live birth greater than 40 percent, compared to age-based control, which could not differentiate these patients from others in the population.
The study is the first to validate that data from a previous IVF cycle can be used to more accurately predict future IVF cycle success. Univfy and its research collaborators used anonymized data from each patient’s previous IVF cycles and compared it to more than 20,000 qualifying repeat IVF cycles performed across three IVF clinics in the U.S., Canada and Spain. This predictive model is the basis for the Univfy PredictIVF online test that enables consumers to enter their own baseline data to receive a personalized prediction of IVF success instantly.
Armed with this vital information, couples can make better informed decisions about whether to pursue another IVF treatment with the patients’ own eggs to build their family.
“The decision to pursue a repeat IVF cycle is incredibly difficult for couples, particularly if the first attempt was unsuccessful,” says Choi. “While physicians counsel patients to focus on the cumulative probability of success over several attempts, IVF dropout rates after one unsuccessful attempt could be as high as 50 percent, showing that many patients give up when their chances of success may actually be quite high. This proven ability to use previous IVF cycle data to predict future success can have a significant impact on the way physicians and patients make decisions about whether to pursue IVF again.”
Univfy offers two online tests for consumers: the Univfy PreIVF for women who want to know their chances of success with their first IVF treatment, and the Univfy PredictIVF for women who have had IVF and want to know their chances of success with their next IVF cycle.
For more information about Univfy’s IVF prediction tests, visit www.univfy.com.
About Univfy Inc.: Los Altos, Calif.-based Univfy Inc. is a privately-held company specializing in the development and integration of powerful statistics and computation with an innovative web platform to bring evidence-based, personalized, prediction of treatment success to fertility patients and their health care providers. The company was founded in 2009 by former Stanford University faculty Mylene Yao,M.D. and Stanford University professor Wing Wong, Ph.D. For more information, visit www.univfy.com.
SOURCE Univfy Inc.