Ultrasound AI, a pioneer in artificial intelligence applications for medical imaging, today announced the publication of groundbreaking findings from its PAIR (Perinatal Artificial Intelligence in Ultrasound) Study in The Journal of Maternal-Fetal & Neonatal Medicine. The study was performed in collaboration with researchers at the University of Kentucky and validates Ultrasound AI’s proprietary technology that more accurately predicts time to delivery using only standard ultrasound images. This technology offers a non-invasive, efficient, and scalable tool for improving pregnancy outcomes, particularly in the fight against preterm birth.

Researchers have controlled the evolution of E. coli bacteria in the lab in order to dramatically increase the amount of plasmid DNA (pDNA) these modified bacteria produce. The advance is significant because pDNA is an essential – and expensive – ingredient in many gene therapies, and the new technique could drive down the cost of these medical treatments.