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November 4, 2025Current Pharmaceutical Design

Advancements in Personalized Medicine for Leukemia: Integrating Genetic, Transcriptomic, and Artificial Intelligence Insights

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Authors

RRRamin RaoufiniaMAMehdi AlimoradiMKMotahhareh Karimoddini

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Implication

This review highlights how personalized medicine improves leukemia diagnosis and treatment through AI, transcriptomics, and genetic profiling.

Key Points

  • Personalized medicine enhances leukemia treatment, integrating AI and molecular profiling for better outcomes.
  • Advancements include AI-driven methods improving diagnosis and therapeutic strategies in leukemia management.
  • The review covers genetic and transcriptomic insights from RNA sequencing, pivotal for precision medicine applications.
  • Ongoing challenges like genetic heterogeneity and treatment resistance call for integrating emerging technologies.

Cite This Study

Raoufinia et al. (2025) studied this question.

synapsesocial.com/papers/690945348f2297dc13532fb4https://doi.org/10.2174/0113816128402252251005215721
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Molecular Pathogenesis and Evolving Precision Medicine in Leukemia2025
  2. 2Advances in Leukemia detection and classification: A Systematic review of AI and image processing techniques2025 · 8 citations
  3. 3Genomic Classification of Acute Lymphoblastic Leukemia Using AI: Towards Personalized Medicine2025
  4. 4Toward Clinically Actionable Machine Learning and Artificial Intelligence Algorithms in Acute Leukemia: A Systematic Narrative Review2025 · 3 citations
  5. 5The role of advanced diagnostics on precision medicine in hemato oncology2025 · 1 citations