CE
Camilo Espinosa Bernal
Research areas: Biochemistry, Genetics and Molecular Biology · Molecular Biology · Machine Learning in Healthcare · Single-cell and spatial transcriptomics · Metabolomics and Mass Spectrometry Studies
Employment
Employment history is unavailable.
Education
Education history is unavailable.
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Publications (26)
- Viral load-driven systemic immune exhaustion is an enabler of antibody breadth in HIV infection Save
- Multiomics characterization of acute child illness and mortality in Africa and South Asia Save
- A machine learning model for frailty based on wearable device measurements Save
- Quantitative assessment of neonatal health using dried blood spot metabolite profiles and deep learning Save
- AI-guided precision parenteral nutrition for neonatal intensive care units Save
- Author Correction: AI-guided precision parenteral nutrition for neonatal intensive care units Save
- Mitigation of outcome conflation in predicting patient outcomes using electronic health records Save
- Author Correction: A machine learning approach to leveraging electronic health records for enhanced omics analysis Save
- A machine learning approach to leveraging electronic health records for enhanced omics analysis Save
- Leveraging computational methods and multiomic profiling to bridge clinical research and therapeutic Interventions in low- and middle-income countries Save
- Unlocking human immune system complexity through AI Save
- Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity Save
- Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries Save
- Large-scale correlation network construction for unraveling the coordination of complex biological systems Save
- Data-driven longitudinal characterization of neonatal health and morbidity Save
- A data-driven health index for neonatal morbidities Save
- Multiomics Modeling of Preterm Birth in Low- and Middle-Income Countries Save
- Objective Activity Parameters Track Patient-Specific Physical Recovery Trajectories After Surgery and Link With Individual Preoperative Immune States Save
- Data-Driven Modeling of Pregnancy-Related Complications Save
- Multiomics Characterization of Preterm Birth in Low- and Middle-Income Countries Save