In the last year a company has begun the initial stages of offering two products that look at things a bit more holistically. These tests are based on research done at Stanford University's School of Medicine by Mylene Yao MD and her team (she is also the co-founder of the company that is marketing this test).
"It was the goal of Yao, Westphal and their colleagues to develop a way to provide patients with more personalized predictions. They took data from 1,676 IVF cycles performed at Stanford Hospital and Clinics between 2003 and 2006 and identified 52 factors -- such as patient age, levels of certain hormones, number and quality of eggs and individual characteristics of each embryo -- that influence a woman's chance of having a baby. They then developed a computer model that sorted patients into subsets defined by similar clinical characteristics (so-called "deep phenotyping") to predict live-birth probabilities in a subsequent round of IVF.