Artificial Intelligence for Cancer Precision Medicine
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Methods and Technologies Development".
Deadline for manuscript submissions: 8 May 2026 | Viewed by 23
Special Issue Editors
Interests: AI applications in cancer imaging and treatment; medical physics; numerical optimization
Special Issue Information
Dear Colleagues,
The era of Artificial Intelligence (AI) is transforming the landscape of cancer research and clinical practice. AI-driven models are now integral to oncology, enabling advances from tumor detection and molecular profiling to individualized treatment planning and outcome prediction. By integrating multi-omics, imaging, and clinical data, these technologies are accelerating drug discovery, improving diagnostic precision, and paving the way toward data-guided, patient-specific cancer precision medicine.
Despite these advancements, major challenges remain, particularly regarding model reliability, interpretability, clinical integration, and regulatory acceptance. This Special Issue aims to bring together cutting-edge research, comprehensive reviews, and innovative frameworks that address these challenges and advance the field of AI-powered cancer precision medicine.
We warmly invite researchers, clinicians, and engineers working at the interface of AI and oncology to submit original research articles, reviews, and perspectives that explore novel methodologies, translational applications, and future directions in this exciting and rapidly evolving domain.
Submissions may include, but are not limited to:
- AI-driven radiogenomics, radiomics, and pathomics
- Explainable and trustworthy AI models in oncology decision-making
- Deep learning for adaptive therapy and treatment planning optimization (radiotherapy, targeted therapy, etc.)
- Predictive modeling for therapeutic responses
- Federated and privacy-preserving learning across multi-institutional datasets
- Ethical, regulatory, and clinical implementation aspects of AI in oncology
We sincerely hope you will consider contributing your latest work to this Special Issue and help shape the next frontier of intelligent cancer care.
Dr. Chenyang Shen
Dr. Yujie Chi
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 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
- artificial intelligence
- cancer
- radiomics
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