Research and application of omics and artificial intelligence in cancer DOI
Ye Zhang,

Wenwen Ma,

Zhiqiang Huang

et al.

Physics in Medicine and Biology, Journal Year: 2024, Volume and Issue: 69(21), P. 21TR01 - 21TR01

Published: July 30, 2024

Cancer has a high incidence and lethality rate, which is significant threat to human health. With the development of high-throughput technologies, different types cancer genomics data have been accumulated, including genomics, epigenomics, transcriptomics, proteomics, metabolomics. A comprehensive analysis various omics needed understand underlying mechanisms tumor development. However, integrating such massive amount one main challenges today. Artificial intelligence (AI) techniques as machine learning are now becoming practical tools for analyzing understanding multi-omics on diseases. Enabling great optimization existing research paradigms screening, diagnosis, treatment. In addition, intelligent healthcare received widespread attention with informatization. As an essential part innovative healthcare, practical, prognosis personalized treatment patients also necessary. This paper introduces advanced technology in recent years, presents cases advantages combination both AI applied diseases, finally briefly describes faced by at current stage, aiming provide new perspectives oncology possibility

Language: Английский

Artificial intelligence-driven integration of multi-omics and radiomics: A new hope for precision cancer diagnosis and prognosis DOI
Jordi Camps, Andrea Jiménez-Franco,

Raquel García-Pablo

et al.

Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Journal Year: 2025, Volume and Issue: unknown, P. 167841 - 167841

Published: April 1, 2025

Language: Английский

Citations

0
Research and application of omics and artificial intelligence in cancer DOI
Ye Zhang,

Wenwen Ma,

Zhiqiang Huang

et al.

Physics in Medicine and Biology, Journal Year: 2024, Volume and Issue: 69(21), P. 21TR01 - 21TR01

Published: July 30, 2024

Cancer has a high incidence and lethality rate, which is significant threat to human health. With the development of high-throughput technologies, different types cancer genomics data have been accumulated, including genomics, epigenomics, transcriptomics, proteomics, metabolomics. A comprehensive analysis various omics needed understand underlying mechanisms tumor development. However, integrating such massive amount one main challenges today. Artificial intelligence (AI) techniques as machine learning are now becoming practical tools for analyzing understanding multi-omics on diseases. Enabling great optimization existing research paradigms screening, diagnosis, treatment. In addition, intelligent healthcare received widespread attention with informatization. As an essential part innovative healthcare, practical, prognosis personalized treatment patients also necessary. This paper introduces advanced technology in recent years, presents cases advantages combination both AI applied diseases, finally briefly describes faced by at current stage, aiming provide new perspectives oncology possibility

Language: Английский

Citations

0