This greater predictive power over a wider probability spectrum means that both patients who are more likely and those who are less likely to conceive from IVF can be identified. With this knowledge, doctors can make better recommendations about IVF treatment, which is a benefit for all patients.

Accuracy and quality of prediction (also called predictive power) may seem like one and the same in many people’s minds, but in fact, they are two different measures of how well a prediction model performs.

Anyone can build a prediction model these days, but how do we know if we can trust it?

Our research team applies boosted tree, a method that is well established in machine learning, to build IVF prediction models that predict the probability of having a baby or multiple births from in vitro fertilization (IVF).

To apply machine learning to predict IVF outcomes, we first had to peel away some long-held assumptions in fertility statistics.

AI/machine learning can help women learn about the importance of seeking help sooner rather than later, and providing more precise predictions of success for women who might otherwise assume their chances of having a baby with IVF are slim.

Univfy applies AI/ML to help counsel women and couples about their personalized chances of success with IVF. Machine learning and cloud computing technologies have made it possible to help fertility patients in an impactful way.

Ovarian reserve and BMI vary among women of all ages and together contribute approximately 20% to the overall picture of your chances of having a baby with IVF.

Abnormal weight can disrupt hormonal function and timely ovulation, making it more difficult to become pregnant in natural cycles. 

We break down the differences in costs and benefits of IUI and IVF to help you discuss the best option with your fertility specialist.

Our bodies have natural, built-in systems to protect us from having too many babies. IVF can override some of these mechanisms to help those with infertility conceive. 

While every couple’s IVF journey is unique, the process typically consists of five main steps, which take place over a few weeks, the span of one menstrual cycle.

Your financial situation and financial package — how you decide to pay for IVF — can ultimately impact your chance of conceiving.

Univfy researchers found that by the time a woman has experienced one failed IVF, her age contributes to only 40 percent of the IVF success prediction, while her health data contributes to 60 percent of the prediction.

A preconception checkup with your doctor can help you follow healthy habits and take the right steps to give your baby the best start. We’ve compiled a preconception checklist from trusted sources.

Some simple math and a urine test kit will do the trick in tracking your ovulation. It might not be the coolest method, but it is certainly the most accurate.

Reproductive medicine today offers more advanced technologies than ever to help women get pregnant, but don’t forget the simple things you can do right now.

Couples trying to conceive have the tools to identify potential inherited genetic conditions before conception.

Understanding the normal operation of your reproductive system can alert you to possible risk factors so that you can get the help you need sooner and have the best start at a healthy pregnancy.