Mathematical Models in Cancer
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Informatics and Big Data".
Deadline for manuscript submissions: closed (31 March 2025) | Viewed by 2765
Special Issue Editor
Interests: virtual human models; predictive oncology; cancer systems biology; machine learning; artificial intelligence; mechanistic models; digital twins; precision oncology; precision medicine; computational oncology; cancer
Special Issue Information
Dear Colleagues,
The range of mathematical models developed for cancer applications continues to rise, driven by multiple trends including the development of artificial intelligence models, the evolution of mechanistic and systematic biology models with cutting-edge data insights, and interest in predictive models aiming to improve decisions and provide explanations. With mathematics serving as a common foundation for expressing and sharing key relationships in cancer, the ability to relate, integrate and couple mathematical models in cancer to improve discovery insights and health outcomes provides a unifying vision for this Special Issue.
This Special Issue gives prominence to predictive mathematical models in cancer, highlighting the accelerating translational use of their applications to benefit patients. The range of predictive mathematical models in cancer serves as the foundation for integrated virtual representations of cancer across various scales, with potential applications at the molecular, cellular and tumor level, and clinical predictions at the patient and population level. With an emphasis on human translation, including personalized approaches of mathematical models for cancer, this Special Issue also embraces mathematical models in areas such as side effects, toxicity and recurrence predictions.
Dr. Eric A. Stahlberg
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 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
- virtual human models
- predictive oncology
- cancer systems biology
- machine learning
- artificial intelligence
- mechanistic models
- digital twins
- precision oncology
- precision medicine
- computational oncology
- cancer
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