36 results on '"Aibaidula, Abudumijiti"'
Search Results
2. Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype
3. BIOM-34. NON-NEOPLASTIC PLASMA EV SUBPOPULATIONS CORRELATE WITH TUMOR SIZE AND OVERALL SURVIVAL IN GLIOBLASTOMA INDEPENDENT OF STEROID USAGE
4. BIOM-07. NON-TUMOR PLASMA EXTRACELLULAR VESICLES PREDICT THE OCCURRENCE OF GBM: A MACHINE LEARNING ANALYSIS
5. The kinesin KIF14 is overexpressed in medulloblastoma and downregulation of KIF14 suppressed tumor proliferation and induced apoptosis
6. Discrete class I molecules on brain endothelium differentially regulate neuropathology in experimental cerebral malaria.
7. Pediatric low-grade gliomas can be molecularly stratified for risk
8. Oligodendrogliomas in pediatric and teenage patients only rarely exhibit molecular markers and patients have excellent survivals
9. 521 An Integrated Workflow for Identification, Enrichment, and Molecular Profiling of Tumor-Derived and Non-Tumor Derived Plasma Extracellular Vesicles in Glioblastoma Patients
10. Strategies, considerations, and recent advancements in the development of liquid biopsy for glioblastoma: a step towards individualized medicine in glioblastoma
11. BIOM-66. MULTIPARAMETRIC QUALITIES OF PLASMA EXTRACELLULAR VESICLES AS NOVEL DIAGNOSTIC BIOMARKERS FOR GLIOBLASTOMA
12. A novel image signature-based radiomics method to achieve precise diagnosis and prognostic stratification of gliomas
13. Establishment and maintenance of a standardized glioma tissue bank: Huashan experience
14. Multiparametric analysis in GBM plasma extracellular vesicles (Evs) and surface marker expression profile.
15. Superinduction of immunosuppressive glioblastoma extracellular vesicles by IFN-γ through PD-L1 and IDO1
16. Spectral flow cytometry identifies distinct nonneoplastic plasma extracellular vesicle phenotype in glioblastoma patients.
17. A novel image signature-based radiomics method to achieve precise diagnosis and prognostic stratification of gliomas
18. High-Field iMRI Guided Resection in Cerebral Glioma Surgery: A Prospective, Randomized, Parallel Controlled Trial
19. BIOM-25. IDENTIFYING EXTRACELLULAR VESICLES FROM GLIOBLASTOMA OR NON-NEOPLASTIC CELLS VIA IMAGING FLOW CYTOMETRY
20. Artificial intelligence neuropathologist for glioma classification using deep learning on hematoxylin and eosin stained slide images and molecular markers
21. Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients
22. Superinduction of immunosuppressive glioblastoma extracellular vesicles by IFN-γ through PD-L1 and IDO1.
23. IDH mutant lower grade (WHO Grades II/III) astrocytomas can be stratified for risk by CDKN2A, CDK4 and PDGFRA copy number alterations
24. Whole‐exome sequencing revealed mutational profiles of giant cell glioblastomas
25. MEDU-05. PROGNOSTIC IMPLICATION OF TERT PROMOTER MUTATION AND TP53 NUCLEAR STAINING IN ADULT MEDULLOBLASTOMA
26. The Relationship Between IDH1 Mutation Status and Metabolic Imaging in Nonenhancing Supratentorial Diffuse Gliomas: A 11C-MET PET Study
27. Artificial intelligence neuropathologist for glioma classification using deep learning on hematoxylin and eosin stained slide images and molecular markers.
28. IDH mutant lower grade (WHO Grades II/III) astrocytomas can be stratified for risk by CDKN2A, CDK4 and PDGFRA copy number alterations.
29. Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas
30. BRAF mutation marks out specific subgroups of glioma
31. Not all 1p/19q non-codeleted oligodendroglial tumors are astrocytic
32. Microfluidics for rapid detection of isocitrate dehydrogenase 1 mutation for intraoperative application
33. Pediatric low-grade gliomas can be molecularly stratified for risk.
34. Methods of Glioma Sample Processing for Molecular Diagnosis for the Glioma Tissue Bank Project
35. Establishment and maintenance of a standardized glioma tissue bank: Huashan experience
36. The Relationship Between IDH1 Mutation Status and Metabolic Imaging in Nonenhancing Supratentorial Diffuse Gliomas: A 11 C-MET PET Study.
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