Yao MWM

ORCID: 0009-0001-8381-6149 · 4 papers in corpus · active 2008-2025
2025
Nature communications ·doi:10.1038/s41467-025-58744-z

Expanding in vitro fertilization (IVF) access requires improved patient counseling and affordability via cost-success transparency. Clinicians ask how two types of live birth prediction (LBP) models perform: machine learning, center-specifi…

2024
Seminars in reproductive medicine ·doi:10.1055/s-0044-1791536

Although in vitro fertilization (IVF) has become an extremely effective treatment option for infertility, there is significant underutilization of IVF by patients who could benefit from such treatment. In order for patients to choose to con…

2010
Proceedings of the National Academy of Sciences of the United States of America ·doi:10.1073/pnas.1002296107

Nearly 75% of in vitro fertilization (IVF) treatments do not result in live births and patients are largely guided by a generalized age-based prognostic stratification. We sought to provide personalized and validated prognosis by using avai…

2008
PloS one ·doi:10.1371/journal.pone.0002562

BackgroundHundreds of thousands of human embryos are cultured yearly at in vitro fertilization (IVF) centers worldwide, yet the vast majority fail to develop in culture or following transfer to the uterus. However, human embryo phenotypes h…