Computational Cancer Biology: Machine Learning for Multi-Omics Integration and Prognosis
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Methods and Technologies Development".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 1
Special Issue Editor
Interests: pancreatic cancer; immunotherapy
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue addresses the critical challenge of integrating complex, high-dimensional multi-omics data—genomics, transcriptomics, proteomics, and more—to advance cancer prognosis, drug response, and biological understanding. We focus on the transformative role of machine learning (ML) and artificial intelligence (AI) in deciphering these interconnected data layers derived from cancer patient datasets, genetically engineered mouse models, and patient-derived organoids for predictive modeling, patient stratification, drug response, biomarker discovery, and creating digital twins by combining cancer patient multi-omics profiles.
We invite contributions on novel ML methodologies, including deep learning architectures, graph neural networks, and multimodal fusion techniques designed for robust multi-omics integration. Submissions should emphasize biological interpretability, clinical translation, and validation in oncology. Topics of interest also include handling data heterogeneity, improving model transparency (XAI), and applications in single-cell or spatial omics for unraveling tumor microenvironment dynamics and spatial regulation.
This issue not only drives methodological progress in ML-enabled cancer research but also bridges technical innovation with clinical practice, offering critical theoretical foundations and tools for precision cancer diagnosis, prognostic stratification, and personalized therapy.
Dr. Aftab Alam
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 communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
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. Cancers is an international peer-reviewed open access semimonthly 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 2900 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
- multi-omics integration
- computational oncology
- prognostic biomarkers
- machine learning
- precision medicine
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