Sheng Zhong, Ph.D. pioneers technologies that advance women's reproductive health. Zhong develops a minimally invasive method to analyze extracellular RNA secreted by embryos during IVF. By sequencing tiny samples of spent culture media, they generate comprehensive RNA profiles and use machine learning to identify biomarkers that predict embryo quality with accuracy comparable to traditional imaging. This breakthrough offers a gentler, data-driven alternative for assessing embryo viability, with the potential to improve live birth rates and support families navigating infertility. Zhong's research highlights the power of molecular innovation to transform fertility care and address critical challenges in women's health. Recorded on 04/16/2025. (#40676)