Beyond Biomarkers: Machine Learning-Driven Multiomics for Personalized Medicine in Gastric Cancer DOI Open Access
J. Daniel,

Canfeng Fan,

Tomoya Sano

et al.

Journal of Personalized Medicine, Journal Year: 2025, Volume and Issue: 15(5), P. 166 - 166

Published: April 24, 2025

Gastric cancer (GC) remains one of the leading causes cancer-related mortality worldwide, with most cases diagnosed at advanced stages. Traditional biomarkers provide only partial insights into GC’s heterogeneity. Recent advances in machine learning (ML)-driven multiomics technologies, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, pathomics, and radiomics, have facilitated a deeper understanding GC by integrating molecular imaging data. In this review, we summarize current landscape ML-based integration for GC, highlighting its role precision diagnosis, prognosis prediction, biomarker discovery achieving personalized medicine.

Language: Английский

Molecular Mechanisms of the CIRBP Family in Tumors: Current Status and Future Perspectives DOI Open Access
Yu Cai, Tingting Wang,

Yuan Zhan

et al.

Journal of Cancer Therapy, Journal Year: 2025, Volume and Issue: 16(02), P. 63 - 76

Published: Jan. 1, 2025

Language: Английский

Citations

0

Beyond Biomarkers: Machine Learning-Driven Multiomics for Personalized Medicine in Gastric Cancer DOI Open Access
J. Daniel,

Canfeng Fan,

Tomoya Sano

et al.

Journal of Personalized Medicine, Journal Year: 2025, Volume and Issue: 15(5), P. 166 - 166

Published: April 24, 2025

Gastric cancer (GC) remains one of the leading causes cancer-related mortality worldwide, with most cases diagnosed at advanced stages. Traditional biomarkers provide only partial insights into GC’s heterogeneity. Recent advances in machine learning (ML)-driven multiomics technologies, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, pathomics, and radiomics, have facilitated a deeper understanding GC by integrating molecular imaging data. In this review, we summarize current landscape ML-based integration for GC, highlighting its role precision diagnosis, prognosis prediction, biomarker discovery achieving personalized medicine.

Language: Английский

Citations

0