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Contact


Email

ncame@unimelb.edu.au

Credentials


Position
Honorary (Fellow)
The Sir Peter MacCallum Department of Oncology
Education
Bachelors Degree (Honours)
Monash University
ORCID

0000-0002-4715-3886

Dr Neil Came

Honorary (Fellow)
The Sir Peter MacCallum Department of Oncology

42 Scholarly works
0 Projects

HIGHLIGHTS

  • 2026

    Journal article

    Flow cytometric assessment of measurable residual disease in acute myeloid leukaemia: a summary of current Australasian practice and future directions
    DOI: 10.1111/imj.70336
  • 2025

    Journal article

    Computational flow cytometry reveals a high prevalence of TRBC1-restricted CD8 T-cell subsets
    DOI: 10.1080/10428194.2025.2484643
  • 2024

    Journal article

    Immunophenotypic characterisation of acute myeloid leukaemia with UBTF tandem duplications
    DOI: 10.1111/bjh.19427
  • 2024

    Journal article

    Issue highlights—April 2024
    DOI: 10.1002/cyto.b.22171
  • 2024

    Journal article

    Evaluation of T-cell clonality by anti-TRBC1 antibody-based flow cytometry and correlation with T-cell receptor sequencing
    DOI: 10.1111/bjh.19252
  • 2024

    Journal article

    T-cell clones of uncertain significance in the era of increasingly sensitive flow-cytometry detection
    DOI: 10.1016/j.pathol.2023.12.090
  • 2020

    Journal article

    Undetectable peripheral blood MRD should be the goal of venetoclax in CLL, but attainment plateaus after 24 months
    DOI: 10.1182/bloodadvances.2019000864
Neil Came

Latest Honours,
Awards and Fellowships


2001
Fellow of the Royal Australasian College of Physicians (FRACP)
2001
Fellow of the Royal College of Pathologists, Australia (FRCPA)

RECENT SCHOLARLY WORKS

  • 2023

    Journal article

    Computational flow cytometry provides accurate assessment of measurable residual disease in chronic lymphocytic leukaemia
    DOI: 10.1111/bjh.18802
  • 2022

    Journal article

    Computational Flow Cytometry Provides Accurate and Sensitive Measurable Residual Disease Assessment in Chronic Lymphocytic Leukemia
    DOI: 10.1182/blood-2022-165649
  • 2022

    Journal article

    Evaluation of multiple myeloma measurable residual disease by high sensitivity flow cytometry: An international harmonized approach for data analysis
    DOI: 10.1002/cyto.b.22053
  • 2022

    Journal article

    Unsupervised computational detection of measurable residual disease in chronic lymphocytic leukaemia
    DOI: 10.1016/j.pathol.2021.12.101

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