Davide De Francesco

机构：Stanford Medicine, Stanford University · ORCID：0000-0002-6185-0514

发表论文 101 篇 · 总被引 2098 次 · h-index 27

代表论文

• Early prediction and longitudinal modeling of preeclampsia from multiomics (2022 · Patterns · 被引 59)
• Data-driven longitudinal characterization of neonatal health and morbidity (2023 · Science Translational Medicine · 被引 41)
• Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity (2023 · npj Digital Medicine · 被引 40)
• Large-scale correlation network construction for unraveling the coordination of complex biological systems (2023 · Nature Computational Science · 被引 37)
• Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries (2023 · Science Advances · 被引 35)
• AI-guided precision parenteral nutrition for neonatal intensive care units (2025 · Nature Medicine · 被引 29)