Genomic Evaluation of AML-Main Techniques and Novel Approaches
- PMID: 40869512
- PMCID: PMC12386541
- DOI: 10.3390/jcm14165685
Genomic Evaluation of AML-Main Techniques and Novel Approaches
Abstract
The genetic diversity of acute myeloid leukemia creates a major obstacle for current research and clinical practice. Despite advances in molecular genetic techniques, various omics approaches, and artificial intelligence, developing a universal algorithm to thoroughly assess each clinical case remains difficult. Starting with current recommendations and classifications, this narrative review highlights the most important diagnostic options available today, new opportunities that are emerging, and the challenges in diagnosing and managing this complex disease.
Keywords: acute myeloid leukemia; artificial intelligence; genetic markers; machine learning; next-generation sequencing.
Conflict of interest statement
The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.
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