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1. Towards a new taxonomy of preterm birth

2. Data-driven longitudinal characterization of neonatal health and morbidity

3. Comprehensive overview of the anesthesiology research landscape: A machine Learning Analysis of 737 NIH-funded anesthesiology primary Investigator's publication trends

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

6. Cross-species comparative analysis of single presynapses

8. Large-scale correlation network construction for unraveling the coordination of complex biological systems

10. Early prediction and longitudinal modeling of preeclampsia from multiomics

13. Data-Driven Modeling of Pregnancy-Related Complications

15. Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions

16. Objective Activity Parameters Track Patient-Specific Physical Recovery Trajectories After Surgery and Link With Individual Preoperative Immune States

18. Comprehensive Overview of the Anesthesiology Research Landscape: A Machine Learning Analysis of 737 Nih-Funded Anesthesiology Primary Investigator's Publication Trends

19. VoPo leverages cellular heterogeneity for predictive modeling of single-cell data

20. Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries

21. Figure S6. Treatment with a CCR4 antagonist decreases CCR4+ Tregs and increases T cell/Treg ratios in murine glioma. from CCL2 Produced by the Glioma Microenvironment Is Essential for the Recruitment of Regulatory T Cells and Myeloid-Derived Suppressor Cells

22. Figure S1. Clinical relevance of CCL2 in glioblastoma multiforme. from CCL2 Produced by the Glioma Microenvironment Is Essential for the Recruitment of Regulatory T Cells and Myeloid-Derived Suppressor Cells

23. Supplementary Figure 2 from Durable Therapeutic Efficacy Utilizing Combinatorial Blockade against IDO, CTLA-4, and PD-L1 in Mice with Brain Tumors

24. Supplementary Materials and Methods from Durable Therapeutic Efficacy Utilizing Combinatorial Blockade against IDO, CTLA-4, and PD-L1 in Mice with Brain Tumors

25. Supplementary Materials and Methods (Word Document File) from CCL2 Produced by the Glioma Microenvironment Is Essential for the Recruitment of Regulatory T Cells and Myeloid-Derived Suppressor Cells

27. Figure S4. CCR4-deficient monocytic MDSCs accumulate at the same level as wild-type monocytic MDSCs in the brain, while granulocytic MDSCs exhibit a mild defect. from CCL2 Produced by the Glioma Microenvironment Is Essential for the Recruitment of Regulatory T Cells and Myeloid-Derived Suppressor Cells

28. Data from CCL2 Produced by the Glioma Microenvironment Is Essential for the Recruitment of Regulatory T Cells and Myeloid-Derived Suppressor Cells

29. Figure S5. The small molecule inhibitor C 021 specifically inhibits Treg migration to CCR4 cognate chemokines. from CCL2 Produced by the Glioma Microenvironment Is Essential for the Recruitment of Regulatory T Cells and Myeloid-Derived Suppressor Cells

30. Table S1. Antibody Array Key from CCL2 Produced by the Glioma Microenvironment Is Essential for the Recruitment of Regulatory T Cells and Myeloid-Derived Suppressor Cells

35. Supplementary Figure Legends from Durable Therapeutic Efficacy Utilizing Combinatorial Blockade against IDO, CTLA-4, and PD-L1 in Mice with Brain Tumors

36. Supplementary Figure 1 from Durable Therapeutic Efficacy Utilizing Combinatorial Blockade against IDO, CTLA-4, and PD-L1 in Mice with Brain Tumors

37. Figure S3. Gating strategy for T cell and myeloid flow cytometric analysis of brain tumor leukocytes. from CCL2 Produced by the Glioma Microenvironment Is Essential for the Recruitment of Regulatory T Cells and Myeloid-Derived Suppressor Cells

40. Figure S2. CCL2 mRNA and protein level is detectable GL261 model of GBM. from CCL2 Produced by the Glioma Microenvironment Is Essential for the Recruitment of Regulatory T Cells and Myeloid-Derived Suppressor Cells

42. Prediction of neuropathologic lesions from clinical data

43. In‐silico generation of high‐dimensional immune response data in patients using a deep neural network

44. Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning

48. In‐silico generation of high‐dimensional immune response data in patients using a deep neural network.

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