Researchers have developed cutting-edge AI models integrating multi-omics data that achieve nearly 90% accuracy in predicting preterm birth, offering transformative promise for risk assessments in maternal-fetal medicine. Concurrently, Harvard SEAS has introduced an integrated electro-optic digital-to-analog link device enhancing photonic computing and data transmission by converting digital signals directly to analog optical signals. These developments signal rapid growth in AI applications across biomedicine and health technology.