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August 19, 2025International Journal of Life Science Research Archive

Computational immunogenomics: Leveraging AI to uncover novel biomarkers for disease diagnosis and therapy

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Authors

OCOgochukwu Peace Chinedu-NzereoguVOVictory Olamide OlorunfemiJOJoseph Olamide Osifeso

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Overview

Review reveals AI's role in uncovering biomarkers for disease diagnosis, suggesting a future of precision medicine.

Key Points

  • AI transforms disease diagnosis by uncovering novel biomarkers, changing the landscape of precision medicine.
  • This review highlights breakthroughs across cancer, autoimmune disorders, and infectious diseases in the last five years.
  • Methods include advanced machine learning techniques and multi-omics data analytics, facilitating tailored therapies and early detection.
  • Challenges such as data integration, algorithmic biases, and ethical concerns hinder clinical translation while future innovations may overcome these.

Cite This Study

Chinedu-Nzereogu et al. (2025) studied this question.

synapsesocial.com/papers/68af33ddcf1dd9ea359e8a66https://doi.org/10.53771/ijlsra.2025.9.1.0048
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Also Consider

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  5. 5AI-driven liquid biopsies and microbiome dynamics: Revolutionizing cancer monitoring through multi-omics integration2025