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Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity

, , , , , , , , , , and . npj Digital Medicine, 6 (1): 171 (2023)

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Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity, , , , , , , , , and 1 other author(s). npj Digital Medicine, 6 (1): 171 (2023)Cross-species comparative analysis of single presynapses, , , , , , , , , and 1 other author(s). Scientific Reports, 13 (1): 13849 (2023)Data-Driven Modeling of Pregnancy-Related Complications, , , , , , , , , and 7 other author(s). Trends in Molecular Medicine, (2021)Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions, , , , , , , , , and 1 other author(s). Nature Machine Intelligence, 2 (10): 619--628 (2020)Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning, , , , , , , , , and 1 other author(s). Frontiers in Pediatrics, (2022)Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity., , , , , , , , , and 11 other author(s). npj Digit. Medicine, (2023)Prostate Cancer Diagnosis Automation Using Supervised Artificial Intelligence. A Systematic Literature Review., , , , and . ICAI, volume 1277 of Communications in Computer and Information Science, page 104-115. Springer, (2020)Data-driven longitudinal characterization of neonatal health and morbidity, , , , , , , , , and 23 other author(s). Science Translational Medicine, 15 (683): eadc9854 (2023)Profiling functional disruption in biological systems, , , , , , , , , and 10 other author(s). Under review, (2022)Early prediction and longitudinal modeling of preeclampsia from multiomics., , , , , , , , , and 23 other author(s). Patterns, 3 (12): 100655 (2022)