HARNESSING THE POWER OF AI AND MACHINE LEARNING FOR NEXT-GENERATION SEQUENCING DATA ANALYSIS: A COMPREHENSIVE REVIEW OF APPLICATIONS, CHALLENGES, AND FUTURE DIRECTIONS IN PRECISION ONCOLOGY

Autores

  • Pedro Henrique Zeraik Viduedo UNIFOA
  • Victor César Urquiza Candeia UNIFIP
  • Victor Balceiro Legname Martins Faculdade Santa Marcelina
  • Afrânio Côgo Destefani EMESCAMB
  • Vinícius Côgo Destefani DynMolLab

DOI:

https://doi.org/10.51891/rease.v10i8.15346

Palavras-chave:

Next-generation sequencing. Artificial intelligence. Precision oncology. Machine learning. Clinical decision support systems.

Resumo

This comprehensive review discusses the transformative impact of artificial intelligence (AI) and machine learning (ML) on next-generation sequencing (NGS) data analysis in precision oncology. AI and ML are pivotal in enhancing the precision of variant calling, annotating complex genomic data, discovering and validating new biomarkers, and integrating multi-omics data to elucidate cancer complexities. These technologies facilitate advanced clinical decision support systems that improve diagnostic accuracy and treatment efficacy. Despite these advancements, challenges persist, including the need for model interpretability, validation across diverse datasets, and integration into clinical practice. Future directions involve federated learning for data privacy, integration of multi-modal data, and expansion of explainable AI applications to enhance understanding and trust in AI-driven methodologies.

Biografia do Autor

Pedro Henrique Zeraik Viduedo, UNIFOA

UNIFOA. 

Victor César Urquiza Candeia, UNIFIP

UNIFIP. 

Victor Balceiro Legname Martins, Faculdade Santa Marcelina

Faculdade Santa Marcelina.

Afrânio Côgo Destefani, EMESCAMB

Santa Casa de Misericórdia de Vitoria Higher School of Sciences – EMESCAMB Molecular Dynamics and Modeling Laboratory (DynMolLab).

Vinícius Côgo Destefani, DynMolLab

Molecular Dynamics and Modeling Laboratory (DynMolLab) - Santa Luíza – Vitória – ES – Brazil.

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Publicado

2024-08-23

Como Citar

Viduedo, P. H. Z., Candeia, V. C. U., Martins, V. B. L., Destefani, A. C., & Destefani, V. C. (2024). HARNESSING THE POWER OF AI AND MACHINE LEARNING FOR NEXT-GENERATION SEQUENCING DATA ANALYSIS: A COMPREHENSIVE REVIEW OF APPLICATIONS, CHALLENGES, AND FUTURE DIRECTIONS IN PRECISION ONCOLOGY. Revista Ibero-Americana De Humanidades, Ciências E Educação, 10(8), 2898–2904. https://doi.org/10.51891/rease.v10i8.15346