Emerging Advances in Cancer Biomarkers: Machine Learning, Radiomics, Genomics, and More
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Genetics and Genomics".
Deadline for manuscript submissions: 20 February 2025 | Viewed by 1583
Special Issue Editors
Interests: lncRNA; miRNA; epigenetics; cancers; ageing-related diseases; RNA-targeting therapy
Special Issues, Collections and Topics in MDPI journals
Interests: lncRNA; miRNA; epigenetics; cancers; ageing-related diseases; RNA-targeting therapy
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the last decade, the exponential growth in human genomics has enabled personalized medicine to enter the realm of diagnostics, prognostics and treatment for cancers. More recently, human radiomics has also been implicated in medical-image-guided precision medicine for cancers. Genomics and radiomics can be mutually linked and integrated to form an emerging discipline named “radiogenomics”, which aims to correlate imaging features with genetic characteristics.
Advances in artificial intelligence and machine learning have spurred significant interest in precision medicine. The application of these techniques in the analysis of genomics, radiomics and/or radiogenomics provides an opportunity for many aspects of clinical oncology, including the identification of biomarkers, the development of therapeutics, and the clarification of the mechanisms implicated.
This Special Issue aims to highlight the two omics bases involved in the improvement of precision oncology. Research areas may include (but are not limited to) genomics, radiomics, radiogenomics, transcriptomics, pharmacogenetics, and the machine learning approach. We welcome basic research papers addressing cancer biomarkers, and professional opinions and reviews investigating the broad role of molecular biology and imaging in the clinical management of cancer. We look forward to receiving your contributions.
Dr. Hung-Yu Lin
Dr. Pei-Yi Chu
Guest Editors
Manuscript Submission Information
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Keywords
- cancers
- biomarkers
- precision medicine
- artificial intelligence
- machine learning
- radiomics
- genomics
- radiogenomics
- multi-omics
- pharmacogenetics
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