278 results on '"Hill, Holly"'
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2. Author Correction: Longitudinal single-cell profiling reveals molecular heterogeneity and tumor-immune evolution in refractory mantle cell lymphoma
3. BST2 facilitates activation of hematopoietic stem cells through ERK signaling
4. Enhancing the understanding of coinfection outcomes: Impact of natural atypical porcine pestivirus infection on porcine reproductive and respiratory syndrome in pigs
5. The impact of Atypical Porcine Pestivirus (APPV) in Great Britain
6. Forecasting acute kidney injury and resource utilization in ICU patients using longitudinal, multimodal models
7. Decline in Vaccination Coverage by Age 24 Months and Vaccination Inequities Among Children Born in 2020 and 2021-National Immunization Survey-Child, United States, 2021-2023
8. Vital Signs: Trends and Disparities in Childhood Vaccination Coverage by Vaccines for Children Program Eligibility--National Immunization Survey-Child, United States, 2012-2022
9. Immune-depleted tumor microenvironment is associated with poor outcomes and BTK inhibitor resistance in mantle cell lymphoma
10. Exploiting PRMT5 as a target for combination therapy in mantle cell lymphoma characterized by frequent ATM and TP53 mutations
11. Disrupted Routine Medical Visits in Children and Adolescents During the COVID-19 Pandemic, January–June 2021
12. Ibrutinib–rituximab followed by R-HCVAD as frontline treatment for young patients (≤65 years) with mantle cell lymphoma (WINDOW-1): a single-arm, phase 2 trial
13. Changes in vaccine hesitancy among parents of children aged 6 months – 17 Years, National Immunization Surveys, 2019–2022
14. Vaccination Coverage by Age 24 Months Among Children Born in 2016 and 2017 — National Immunization Survey-Child, United States, 2017–2019
15. CAR-T and other adoptive cell therapies for B cell malignancies
16. Vaccination Coverage by Age 24 Months Among Children Born in 2019 and 2020--National Immunization Survey-Child, United States, 2020-2022
17. Genetic mutations and features of mantle cell lymphoma: a systematic review and meta-analysis
18. Genomic profiles and clinical outcomes of de novo blastoid/pleomorphic MCL are distinct from those of transformed MCL
19. Forecasting Acute Kidney Injury and Resource Utilization in ICU patients using longitudinal, multimodal models
20. Vaccination Coverage by Age 24 Months Among Children Born in 2015 and 2016 — National Immunization Survey-Child, United States, 2016–2018
21. Longitudinal single-cell profiling reveals molecular heterogeneity and tumor-immune evolution in refractory mantle cell lymphoma
22. Vaccination Coverage Among Children Aged 19–35 Months — United States, 2017
23. Vaccination Coverage by Age 24 Months Among Children Born During 2018-2019--National Immunization Survey-Child, United States, 2019- 2021
24. Vaccination Coverage Among Children Aged 19–35 Months — United States, 2016
25. Vaccination Coverage Disparities Between Foreign-Born and U.S.-Born Children Aged 19–35 Months, United States, 2010–2012
26. Supplementary Table 4 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
27. Supplementary Table 5 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
28. FIGURE 2 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
29. Supplementary Figure 1 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
30. TABLE 1 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
31. TABLE 2 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
32. Supplementary Table 3 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
33. Supplementary Data Description from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
34. FIGURE 3 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
35. FIGURE 1 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
36. Supplementary Table 2 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
37. Supplementary Methods from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
38. Supplementary Table 1 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
39. Supplementary Figure 3 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
40. TABLE 3 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
41. FIGURE 4 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
42. Supplementary Table 6 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
43. Data from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
44. Supplementary Figure 2 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
45. Supplementary Figure 4 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
46. Supplementary Table 1 from Integrative Prognostic Machine-Learning Models in Mantle Cell Lymphoma
47. Supplementary Table 6 from Integrative Prognostic Machine-Learning Models in Mantle Cell Lymphoma
48. Supplementary Figure 2 from Integrative Prognostic Machine-Learning Models in Mantle Cell Lymphoma
49. Supplementary Figure 3 from Integrative Prognostic Machine-Learning Models in Mantle Cell Lymphoma
50. Supplementary Table 4 from Integrative Prognostic Machine-Learning Models in Mantle Cell Lymphoma
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