Emerging Advances in Cancer Biomarkers: Machine Learning, Radiomics, Genomics, and More

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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Molecular Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. There is an Article Processing Charge (APC) for publication in this open access journal. For details about the APC please see here. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• cancers
• biomarkers
• precision medicine
• artificial intelligence
• machine learning
• radiomics
• genomics
• radiogenomics
• multi-omics
• pharmacogenetics