Columbia University researchers adapted astrophysics-based AI algorithms to detect sperm cells missed by manual techniques in samples previously deemed sterile. The system, STAR, scanned millions of images rapidly and identified 44 viable sperm cells, three of which contributed to successful fertilization and an ongoing pregnancy. This advancement addresses limitations in conventional sperm analysis, offering potential to enhance fertility outcomes, especially in challenging cases of male factor infertility.