187 results on '"Zhu Hong-bo"'
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2. On multiple handoff blocking‐then‐reaccess for opportunistic spectrum access
3. Circ0060467 sponges miR-6805 to promote hepatocellular carcinoma progression through regulating AIFM2 and GPX4 expression
4. Hemophagocytic lymphohistiocytosis after autologous stem cell transplantation in angioimmunoblastic T-cell lymphoma: A case report
5. Table S3 from Combination of TMB and CNA Stratifies Prognostic and Predictive Responses to Immunotherapy Across Metastatic Cancer
6. Figure S1 from Combination of TMB and CNA Stratifies Prognostic and Predictive Responses to Immunotherapy Across Metastatic Cancer
7. Figure S1 from Combination of TMB and CNA Stratifies Prognostic and Predictive Responses to Immunotherapy Across Metastatic Cancer
8. Figure S2 from Combination of TMB and CNA Stratifies Prognostic and Predictive Responses to Immunotherapy Across Metastatic Cancer
9. Figure S3 from Combination of TMB and CNA Stratifies Prognostic and Predictive Responses to Immunotherapy Across Metastatic Cancer
10. Figure S6 from Combination of TMB and CNA Stratifies Prognostic and Predictive Responses to Immunotherapy Across Metastatic Cancer
11. Table S1 from Combination of TMB and CNA Stratifies Prognostic and Predictive Responses to Immunotherapy Across Metastatic Cancer
12. Figure S5 from Combination of TMB and CNA Stratifies Prognostic and Predictive Responses to Immunotherapy Across Metastatic Cancer
13. Table S1 from Combination of TMB and CNA Stratifies Prognostic and Predictive Responses to Immunotherapy Across Metastatic Cancer
14. Table S2 from Combination of TMB and CNA Stratifies Prognostic and Predictive Responses to Immunotherapy Across Metastatic Cancer
15. Table S2 from Combination of TMB and CNA Stratifies Prognostic and Predictive Responses to Immunotherapy Across Metastatic Cancer
16. Figure S6 from Combination of TMB and CNA Stratifies Prognostic and Predictive Responses to Immunotherapy Across Metastatic Cancer
17. Figure S4 from Combination of TMB and CNA Stratifies Prognostic and Predictive Responses to Immunotherapy Across Metastatic Cancer
18. Figure S4 from Combination of TMB and CNA Stratifies Prognostic and Predictive Responses to Immunotherapy Across Metastatic Cancer
19. Table S3 from Combination of TMB and CNA Stratifies Prognostic and Predictive Responses to Immunotherapy Across Metastatic Cancer
20. Figure S5 from Combination of TMB and CNA Stratifies Prognostic and Predictive Responses to Immunotherapy Across Metastatic Cancer
21. Supplementary figure legends from Combination of TMB and CNA Stratifies Prognostic and Predictive Responses to Immunotherapy Across Metastatic Cancer
22. Figure S2 from Combination of TMB and CNA Stratifies Prognostic and Predictive Responses to Immunotherapy Across Metastatic Cancer
23. Figure S3 from Combination of TMB and CNA Stratifies Prognostic and Predictive Responses to Immunotherapy Across Metastatic Cancer
24. A General 3D Geometry-Based Stochastic Channel Model for B5G mmWave IIoT
25. Predictive Value of the Hepatic Immune Predictive Index for Patients with Primary Liver Cancer Treated with Immune Checkpoint Inhibitors
26. Low-Profile Dual-Resonant Wideband Backfire Antenna for Vehicle-to-Everything Applications
27. Use of computed tomography-derived body composition to determine the prognosis of patients with primary liver cancer treated with immune checkpoint inhibitors: a retrospective cohort study
28. Person Density Dependency on Path Loss and Root Mean Square Delay Spread for Smart Office Scenarios
29. Splenomegaly in predicting the survival of patients with advanced primary liver cancer treated with immune checkpoint inhibitors
30. Gemcitabine Combined with Cisplatin Has a Better Effect in the Treatment of Recurrent/Metastatic Advanced Nasopharyngeal Carcinoma
31. UAV-assisted cooperative offloading energy efficiency system for mobile edge computing
32. Identification of MATN3 as a Novel Prognostic Biomarker for Gastric Cancer through Comprehensive TCGA and GEO Data Mining
33. De Novo Mutation in Non-Tyrosine Kinase Domain of ROS1 as a Potential Predictor of Immune Checkpoint Inhibitors in Melanoma
34. Correlation Between Local Air Temperature and the COVID-19 Pandemic in Hubei, China
35. Lung metastasis and lymph node metastasis are risk factors for hyperprogressive disease in primary liver cancer patients treated with immune checkpoint inhibitors
36. Integrative evaluation of primary and metastatic lesion spectrum to guide anti-PD-L1 therapy of non-small cell lung cancer: results from two randomized studies
37. circRNA_100859 functions as an oncogene in colon cancer by sponging the miR-217-HIF-1α pathway
38. Development and validation of the HNC-LL score for predicting the severity of coronavirus disease 2019
39. Neural-Network-Based Root Mean Delay Spread Model for Ubiquitous Indoor Internet-of-Things Scenarios
40. Development and validation of a genomic mutation signature to predict response to PD-1 inhibitors in non-squamous NSCLC: a multicohort stud
41. A transferrable and interpretable multiple instance learning model for microsatellite instability prediction based on histopathology images
42. Integrative Modeling of Tumor Burden and Metastatic Pattern for Guiding Anti-PD-L1 Treatment of Non–Small Cell Lung Cancer: Results From Two Randomized Studies
43. Development and interpretation of a pathomics-based model for the prediction of microsatellite instability in Colorectal Cancer
44. Combination of TMB and CNA Stratifies Prognostic and Predictive Responses to Immunotherapy Across Metastatic Cancer
45. Directivity Enhancement of Planar Endfire Circularly Polarized Antenna Using V-Shaped 1.5-Wavelength Dipoles
46. Wideband Dual-Resonant Fixed-Beam High Gain Patch Antenna Array
47. Improved Design of a Dual-Band Circularly Polarized Square Loop Antenna under Even-Mode Resonance
48. Influence of Human Body on Massive MIMO Indoor Channels
49. Development and Validation of a Gene Mutation-Based Signature to Predict Response to PD-1 Inhibitors in Non-Squamous NSCLC: A Retrospective Multicohort Study
50. 10 kW CW diode laser cladding source and thermal effect
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