Why do some women get pregnant easily and others struggle, even when using in vitro fertilization (IVF) to overcome infertility?
We know that as women age, it becomes more difficult for them to get pregnant with a healthy baby. Infertility treatments today are quite successful, but age-related female infertility is still one of the most difficult to treat.
That being said, there is good news. It is clear from analysis of data gleaned from thousands of IVF cycles, that age alone is not the best predictor of your personal probability of IVF success.
Aside from age, there are a number of other patient-specific fertility factors that are very powerful for predicting your chance of success with IVF. They can be analyzed statistically to create a customized probability of IVF success specific to you.
Chronological age does not necessarily reflect the age of the ovaries. Your ovaries are aging at their own pace, either slower or faster than those of other women at your age. Population studies have clearly shown that egg supply declines with age, but it is still difficult to know: 1) If there is a magic age when sharp decline kicks in at the level of the individual, and 2) The exact pace or rate of decline for each woman.
In reality, age may only contribute 40 to 60% of the overall probability of whether or not you'll have a baby with IVF. However, age is too often used as the sole basis for information on the Internet about IVF success rates or as the primary factor for recommending infertility treatments.
Univfy researchers recognize that many factors affect a woman’s fertility, and age is only one of them. Our predictions measure multiple factors specific to you, including ovarian reserve, body mass index, reproductive history, among others, to determine more accurately your probability of conceiving a baby with IVF.
Mylene Yao, M.D. has led Univfy as Co-founder and CEO since the e company started operations in 2010. Her vision is to make IVF more accessible to patients and to break barriers to treatment through the power of predictive analytics. Dr. Yao has over 15 years of experience in clinical and scientific research in fertility. Prior to founding Univfy, she was on the faculty at Stanford University, where she led NIH-funded fertility and embryo genetics research.
Dr. Yao graduated from medical school at the University of Toronto and completed her obstetrics and gynecology residency training at McGill University. She received her clinical subspecialty training in reproductive endocrinology and infertility at Brigham and Women’s Hospital at Harvard University. Dr. Yao received multiple research awards for her fertility research work, including pre-implantation embryo development, the role of stem cell genes in the embryo, and uterine receptivity at implantation, and is co-author of the chapter on Infertility in Novak’s Gynecology, one of the top medical textbooks for obstetricians and gynecologists.