Laboratory Medicine Commons^™

Machine Learning In Flow Cytometry For Acute Myeloid Leukemia Diagnosis: A Scoping Review, Katrina Jezzela M. Dela Pena Md, Mls (Ascp)

Other Specialties

Manuscript version:

Introduction: Flow cytometry is essential for the diagnosis of acute myeloid leukemia (AML), but conventional analysis is labor-intensive, operator-dependent, and increasingly complex. Machine learning (ML) may support automated analysis; however, its readiness for clinical implementation remains unclear. This scoping review mapped ML approaches applied to flow cytometry for AML-related diagnosis.

Methods: PubMed was searched for English-language primary studies applying artificial intelligence, ML, or deep learning to human flow cytometry data for AML diagnosis or classification. Eligible studies reported diagnostic performance metrics. Study characteristics, preprocessing, data representation, model architecture, validation strategy, performance metrics, interpretability, and implementation considerations were descriptively …

Biomarkers In Acute Myeloid Leukemia: Leveraging Next Generation Sequencing Data For Optimal Therapeutic Strategies, Hanadi El Achi, Rashmi Kanagal-Shamanna

Faculty, Staff and Student Publications

Next generation sequencing (NGS) is routinely used for mutation profiling of acute myeloid leukemia. The extensive application of NGS in hematologic malignancies, and its significant association with the outcomes in multiple large cohorts constituted a proof of concept that AML phenotype is driven by underlying mutational signature and is amenable for targeted therapies. These findings urged incorporation of molecular results into the latest World Health Organization (WHO) sub-classification and integration into risk-stratification and treatment guidelines by the European Leukemia Net. NGS mutation profiling provides a large amount of information that guides diagnosis and management, dependent on the type and number …

Educational Case: Systemic Mastocytosis With An Associated Hematological Neoplasm, Brenda Mai, Md A Wahed, Lei Chen, Nghia D Nguyen, Xiaohong Iris Wang, Zhihong Hu

Faculty, Staff and Student Publications

The following fictional case is intended as a learning tool within the Pathology Competencies for Medical Education (PCME), a set of national standards for teaching pathology. These are divided into three basic competencies: Disease Mechanisms and Processes, Organ System Pathology, and Diagnostic Medicine and Therapeutic Pathology. For additional information, and a full list of learning objectives for all three competencies, see http://journals.sagepub.com/doi/10.1177/2374289517715040.1