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Data-Driven Modeling of Pregnancy-Related Complications, , , , , , , , , and 7 other author(s). Trends in Molecular Medicine, (2021)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)In-Silico Generation of High-Dimensional Immune Response Data in Patients using a Deep Neural Network, , , , , , , , , and 1 other author(s). Cytometry Part A, (2022)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)A data-driven health index for neonatal morbidities, , , , , , , , , and 11 other author(s). iScience, (2022)Multiomics Characterization of Preterm Birth in Low- and Middle-Income Countries, , , , , , , , , and 68 other author(s). JAMA Network Open, (2020)Whole genome deconvolution unveils Alzheimer’s resilient epigenetic signature, , , , , , , , , and 9 other author(s). Nature Communications, 14 (1): 4947 (2023)Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions., , , , , , , , , and 21 other author(s). Nat. Mach. Intell., 2 (10): 619-628 (2020)VoPo leverages cellular heterogeneity for predictive modeling of single-cell data, , , , , , , , , and 20 other author(s). Nature Communications, 11 (1): 3738-- (2020)