Article

Artificial intelligence applications to genomic data in cancer research: a review of recent trends and emerging areas

2024-07-29

Abstract excerpt

Abstract This review focuses on the intersection of artificial intelligence and genomic data in cancer research. It explores the types of genomic data used in the literature, the methodologies of machine learning and deep learning, recent applications, and the challenges associated with this field. Through an analysis of 47,586 articles and addressing seven research questions, the study reveals significant growth...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 932af4f9-9279-5a8d-b918-1d7e9b3d057b
DOI: 10.1007/s44257-024-00017-y

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Artificial intelligence applications to genomic data in cancer research: a review of recent trends and emerging areasDOI 10.1007/s44257-024-00017-yRead

Artificial Intelligence in Genomic Medicine: From Data Integration to Clinical Decision Support in OncologySemantic proximity Read

From Genomics to AI: Revolutionizing Precision Medicine in OncologySemantic proximity Read

Bioinformatics and artificial intelligence in genomic data analysis: current advances and future directionsSemantic proximity Read

Translation of Genomics into Precision Medicine with Artificial Intelligence: A Narrative Review on Applications, Challenges and Future PerspectivesSemantic proximity Read

Enabling the clinical application of artificial intelligence in genomics: a perspective of the AMIA Genomics and Translational Bioinformatics WorkgroupSemantic proximity Read

Artificial Intelligence and Genomic Data Analysis: New Frontiers in Precision MedicineSemantic proximity Read

Illuminating the Noncoding Genome in Cancer Using Artificial Intelligence.Semantic proximity Read

Artificial Intelligence for Genetic Cancer Risk Assessment in Gynecologic Oncology: A Review of the Current Landscape and Future Directions.Semantic proximity Read

Precision Oncology in the Era of Genomics and Artificial IntelligenceSemantic proximity Read

AI-driven biomarker discovery: enhancing precision in cancer diagnosis and prognosisSemantic proximity Read

Artificial Intelligence (AI) and Machine Learning (ML) in Diagnosing Cancer: Current TrendsSemantic proximity Read