Human Embryo

Human embryo research focuses on understanding and improving the assessment of embryo viability and development, primarily within the context of in-vitro fertilization (IVF) and related assisted reproductive technologies. Current research heavily utilizes deep learning models, including transformer networks and convolutional neural networks, to analyze time-lapse imaging data, predict morphokinetic parameters, and automate embryo grading and selection processes. These advancements aim to improve the accuracy and efficiency of embryo assessment, ultimately increasing IVF success rates and reducing the need for invasive procedures. Furthermore, AI-driven image analysis is being applied to non-invasive monitoring of fetal development in utero, improving the understanding of normal and abnormal brain development.