Vol. 4 No. 1 (2024): Hong Kong Journal of AI and Medicine
Articles

Precision Oncology Advancements Through Deep Learning-Based Biomarker Discovery: Utilizes deep learning techniques to discover novel biomarkers for precision oncology, enabling targeted therapies and personalized treatment plans for cancer patients

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  • Dr. Gabriela Moreno
Dr. Gabriela Moreno
Associate Professor of Bioinformatics, Universidad Nacional de Colombia
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Published 31-05-2024

Keywords

  • Deep learning,
  • biomarker discovery,
  • precision oncology,
  • cancer treatment,
  • personalized medicine
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
D. G. Moreno, “Precision Oncology Advancements Through Deep Learning-Based Biomarker Discovery: Utilizes deep learning techniques to discover novel biomarkers for precision oncology, enabling targeted therapies and personalized treatment plans for cancer patients”, Hong Kong J. of AI and Med., vol. 4, no. 1, pp. 69–79, May 2024, Accessed: Nov. 23, 2024. [Online]. Available: https://hongkongscipub.com/index.php/hkjaim/article/view/19

Abstract

Precision oncology aims to deliver personalized cancer treatment by identifying biomarkers that can predict patient response to specific therapies. Deep learning has emerged as a powerful tool in biomarker discovery, leveraging complex patterns in genomic, proteomic, and imaging data to identify novel biomarkers. This paper presents a comprehensive review of deep learning-based approaches for biomarker discovery in precision oncology. We discuss the challenges associated with traditional biomarker discovery methods and how deep learning techniques can address these challenges. We also highlight recent advancements, applications, and future directions in deep learning-based biomarker discovery for precision oncology.

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