Artificial Intelligence and Bioinformatics in Cancer Genomics: Innovations and Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: 30 October 2025 | Viewed by 33
Special Issue Editors
2. School of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
3. Faculty of Science, Department of Molecular Biology, University of Zagreb, 10000 Zagreb, Croatia
Interests: medical genetics; genomics; molecular oncology; personalized medicine; cellular and gene therapy
Interests: bioinformatics; text mining; biological domain knowledge-based feature selection on gene expression data; microRNA; one-class classification
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Cancer remains one of the most complex diseases, requiring interdisciplinary approaches to understand its genetic basis and develop effective therapies. The integration of artificial intelligence (AI) and bioinformatics has significantly advanced cancer genomics research by enabling large-scale data analysis, biomarker discovery, and personalized medicine. AI-driven algorithms and computational techniques assist us in deciphering genomic alterations, predicting treatment responses, and identifying novel therapeutic targets.
This Special Issue aims to gather original research articles and reviews that explore the latest advancements in AI and bioinformatics applications in cancer genomics. We encourage submissions covering topics such as the use of machine learning models for genomic data analysis, AI-driven drug discovery, the use of deep learning for cancer subtype classification, and integrative multi-omics approaches. By bringing together experts in AI, bioinformatics, and oncology, this issue will highlight cutting-edge methodologies and their impact on cancer research and clinical applications.
Dr. Petar Brlek
Prof. Dr. Malik Yousef
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- cancer research
- bioinformatics
- machine learning
- multi-omics
- precision oncology
- deep learning
- big data
- precision therapy
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