197 results on '"Lau, Mai Chan"'
Search Results
2. Author Correction: Probabilistic embedding, clustering, and alignment for integrating spatial transcriptomics data with PRECAST
3. Bayesian risk prediction model for colorectal cancer mortality through integration of clinicopathologic and genomic data
4. Probabilistic embedding, clustering, and alignment for integrating spatial transcriptomics data with PRECAST
5. Histopathology images predict multi-omics aberrations and prognoses in colorectal cancer patients
6. Spatially resolved multimarker evaluation of CD274 (PD-L1)/PDCD1 (PD-1) immune checkpoint expression and macrophage polarisation in colorectal cancer
7. Quantitative Multiplexed Analysis of Indoleamine 2,3-Dioxygenase (IDO) and Arginase-1 (ARG1) Expression and Myeloid Cell Infiltration in Colorectal Cancer
8. The Prognostic Value of CD39 as a Marker of Tumor-Specific T Cells in Triple-Negative Breast Cancer in Asian Women
9. The Hurdle of Precision Medicine in Cancer Immunotherapy: Personalization Now or Then?
10. Spatial Technologies: A Game Changer for Studying the Tumor Microenvironment
11. Immune cell profiles in the tumor microenvironment of early-onset, intermediate-onset, and later-onset colorectal cancer
12. Smoking and colorectal cancer survival in relation to tumor LINE-1 methylation levels: a prospective cohort study
13. Abstract LT09: Integrative Multi-Omics Enhancer Activity Profiling Identifies Therapeutic Vulnerabilities in Cholangiocarcinoma of Different Etiologies
14. CD27hiCD38hi plasmablasts are activated B cells of mixed origin with distinct function
15. Integrative multiomics enhancer activity profiling identifies therapeutic vulnerabilities in cholangiocarcinoma of different etiologies
16. Assessment of an AI virtual staining model performance across same and serial tissue sections using CD3+T cell ground truth
17. 1279 H&E-2.0: an extended application of ST-net to liver cancer and its generalizability
18. 1282 H&E 2.0 virtual staining of CD3+T cells: improving cell labeling for precise model training
19. An integrated analysis of lymphocytic reaction, tumour molecular characteristics and patient survival in colorectal cancer
20. 1512 Single-cell resolution spatial transcriptomics detection of pathogens followed by studying the immune milieu: using virus-associated cancers from different organs as paradigm
21. The prognostic value of CD39+CD8+ T cells as a potential surrogate marker of tumor-specific T cells in Asian triple-negative breast cancer
22. Multimodal molecular landscape of response to Y90-resin microsphere radioembolization followed by nivolumab for advanced hepatocellular carcinoma
23. The promise and challenge of spatial omics in dissecting tumour microenvironment and the role of AI
24. Immunological history governs human stem cell memory CD4 heterogeneity via the Wnt signaling pathway
25. Application of Artificial Intelligence to In Vitro Tumor Modeling and Characterization of the Tumor Microenvironment
26. Data from The Prognostic Role of Macrophage Polarization in the Colorectal Cancer Microenvironment
27. Supplementary Data from Spatial Organization and Prognostic Significance of NK and NKT-like Cells via Multimarker Analysis of the Colorectal Cancer Microenvironment
28. Supplementary Tables S1-S8. Supplementary Figures S1-S12. from The Prognostic Role of Macrophage Polarization in the Colorectal Cancer Microenvironment
29. Data from Spatial Organization and Prognostic Significance of NK and NKT-like Cells via Multimarker Analysis of the Colorectal Cancer Microenvironment
30. Data from Metabolic Profiling of Formalin-Fixed Paraffin-Embedded Tissues Discriminates Normal Colon from Colorectal Cancer
31. Supplementary Figure S1 from Metabolic Profiling of Formalin-Fixed Paraffin-Embedded Tissues Discriminates Normal Colon from Colorectal Cancer
32. Supplementary Data from Metabolic Profiling of Formalin-Fixed Paraffin-Embedded Tissues Discriminates Normal Colon from Colorectal Cancer
33. Supplementary Figures FS1 from Neoadjuvant Chemotherapy Is Associated with Altered Immune Cell Infiltration and an Anti-Tumorigenic Microenvironment in Resected Pancreatic Cancer
34. Supplementary Tables S1-S10. Supplementary Figures S1-S5. from Prognostic Significance of Immune Cell Populations Identified by Machine Learning in Colorectal Cancer Using Routine Hematoxylin and Eosin–Stained Sections
35. Supplementary Data from Composition, Spatial Characteristics, and Prognostic Significance of Myeloid Cell Infiltration in Pancreatic Cancer
36. Supplementary Data from Spatially Resolved Single-Cell Assessment of Pancreatic Cancer Expression Subtypes Reveals Co-expressor Phenotypes and Extensive Intratumoral Heterogeneity
37. A hybrid CPU-Graphics Processing Unit (GPU) approach for computationally efficient simulation-optimization
38. Integrative multiomics enhancer activity profiling identifies therapeutic vulnerabilities in cholangiocarcinoma of different etiologies
39. Spatially Resolved Single-Cell Assessment of Pancreatic Cancer Expression Subtypes Reveals Co-expressor Phenotypes and Extensive Intratumoral Heterogeneity
40. 1288 Spatial transcriptomics-enabled integrated morphology-transcriptome tumor cell phenotyping using machine learning
41. 1039 The prognostic value of tumour-specific T cells in Asian TNBC: using CD39+CD8+T cells as a surrogate marker
42. 1302 Spatial analysis of the tumor microenvironment using machine learning-enabled integrated morphology-transcriptomic cell phenotypes
43. 867 Deciphering of radiotherapy-induced immunomodulation effect synergized with immunotherapy in hepatocellular carcinoma by spatial multi-omics profiling
44. Corrigendum: Case report: Persistence of residual antigen and RNA of the SARS-CoV-2 virus in tissues of two patients with long COVID
45. Western-Style Diet, pks Island-Carrying Escherichia coli, and Colorectal Cancer: Analyses From Two Large Prospective Cohort Studies
46. Neoadjuvant Chemotherapy Is Associated with Altered Immune Cell Infiltration and an Anti-Tumorigenic Microenvironment in Resected Pancreatic Cancer
47. Case report: Understanding the impact of persistent tissue-localization of SARS-CoV-2 on immune response activity via spatial transcriptomic analysis of two cancer patients with COVID-19 co-morbidity
48. Case report: Persistence of residual antigen and RNA of the SARS-CoV-2 virus in tissues of two patients with long COVID
49. Early triple negative breast cancers in a Singapore cohort exhibit high PIK3CA mutation rates associated with low PD-L1 expression
50. Abstract 684: Body mass index throughout adulthood and incidence of colorectal cancer subclassified by T cell, macrophage, and myeloid cell infiltrates in cancer tissue
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.