Artificial Intelligence and Data Science for the Discovery of Anticancer Targets and Decision Support
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Informatics".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 17
Special Issue Editor
Interests: computer science; artificial intelligence; data science; machine learning; multi-omics integration; cancer
Special Issue Information
Dear Colleagues,
The convergence of artificial intelligence (AI), data science, and systems biology is transforming the landscape of cancer research, particularly through the discovery of novel therapeutic targets. This Special Issue invites the submission of contributions exploring the use of AI and data-driven approaches in identifying, prioritizing, and validating molecular targets for anticancer therapy. We are especially interested in integrative studies that use machine or deep learning, network analysis, and multi-omics data to uncover cancer-specific vulnerabilities. Manuscripts that contain decision-making frameworks based on predictive models, risk stratification, or the clinical translation of identified targets are highly encouraged. The goal is to highlight innovative computational methodologies that accelerate the drug discovery pipeline and inform precision oncology, bridging the gap between big data and actionable medical insights.
Prof. Dr. Soumia Ziti
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence in oncology
- data science and decision support in cancer therapy
- target discovery and biomarker identification
- machine learning and multi-omics integration
- predictive modeling in precision medicine
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