AI and Machine Learning in Cancer Genomics
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Bioinformatics".
Deadline for manuscript submissions: 25 November 2025 | Viewed by 824
Special Issue Editor
Interests: cancer genomics and epidemiology; methylation analysis; AI/machine-learning; blind source separation; early disease diagnosis; computational biology
Special Issue Information
Dear Colleagues,
The incorporation of artificial intelligence (AI) and Machine Learning (ML) into the field of cancer genomics has changed our approach toward analyzing and interpreting intricate genomic data. This, in turn, has aided in the understanding of the processes related to the inception, evolution, and prognosis of cancer. Advanced AI techniques, including deep learning and sophisticated models, can help to unravel multidimensional genomic data and tailor treatments for individuals based on their unique disease patterns, which were previously thought to be impossible. Some of the most advanced cancer AI solutions have breathtaking usefulness, and the study of mutational signatures is one of them. Using AI to interpret these complex patterns against the backdrop of different mutagenic mechanisms greatly enhances their clinical value.
This special issue aims to illustrate some of the most impressive synergetic research works that combine AI/ML with cancer genomics. We encourage the submission of works that put forward novel computational techniques, the use of machine learning on genomic projects, and the application of observational studies where AI methods have already been placed into practice in a medical field. Examples of focus include computational analysis of mutational signatures, the functional aspects of oncology, genomic and dynamic spatial biomarker development, and others. The main focus should be directed toward research carried out with the intent of explaining cancer development processes with the help of AI technologies, while cherishing expected improvement in the control of cancer patients for all clinicians.
Dr. S M Ashiqul Islam
Guest Editor
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. Genes is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). 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.
Keywords
- genomics
- cancer
- AI
- ML
- tools
- signatures
- biomarkers
- oncology
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