Artificial Intelligence-Driven Multi-Omics Integration for Precision Oncology and Complex Disease Research
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Informatics and Big Data".
Deadline for manuscript submissions: 31 October 2026 | Viewed by 63
Special Issue Editors
Interests: cancer genetics; pharmacology; tumor biomarkers
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid accumulation of high-throughput sequencing and molecular profiling data has made multi-omics approaches indispensable for decoding the complexity of human diseases. However, the heterogeneity and dimensionality of multi-omics datasets pose significant analytical challenges that traditional methods alone cannot fully address. Recent advances in artificial intelligence (AI), particularly deep learning and machine learning frameworks, are transforming our ability to integrate genomics, transcriptomics, proteomics, metabolomics, epigenomics, and spatial omics data into coherent biological insights.
This Special Issue aims to highlight cutting-edge research and methodological innovations at the intersection of AI and multi-omics integration. We welcome original research and reviews that explore novel computational frameworks, predictive modeling, biomarker discovery, network reconstruction, and translational applications in oncology, neurology, immunology, and other disease areas. Emphasis will be placed on studies that demonstrate clinical utility, reproducibility, and interpretability of AI-based integrative pipelines, as well as discussions of data harmonization, ethical considerations, and open-science practices.
By bringing together contributions from computational scientists, biologists, and clinicians, this Special Issue seeks to advance the field toward precision medicine and accelerate the translation of multi-omics data into actionable diagnostics and therapies.
Dr. Hengrui Liu
Dr. Qi Wang
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 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. 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
- artificial intelligence
- multi-omics
- precision medicine
- biomarker
- deep learning
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