Mathematical Oncology: Using Mathematics to Enable Cancer Discoveries
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Methods and Technologies Development".
Deadline for manuscript submissions: 15 June 2024 | Viewed by 816
Special Issue Editors
Interests: mathematical oncology; personalized medicine; mathematical modeling; state transition; model discovery; radiation therapy; targeted radionuclides; glioblastoma; acute myeloid leukemia
Special Issues, Collections and Topics in MDPI journals
Interests: mathematical oncology; vascular networks; metabolic scaling; image analysis; model discovery
Interests: mathematical oncology; predictive modeling; patient-specific, personalized, dynamic modeling; computational biology
Interests: mathematical oncology; mathematical neuro-oncology; prognostic biomarkers; glioblastoma; subpopulation dynamics
Interests: mathematical and computational oncology; clinical cancer imaging; medical image analysis; patient-specific modeling; breast cancer; glioblastoma
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Mathematical modeling is proving to be an invaluable component for the future of oncology. Applications have spanned finding analytic or numerical analysis of first-principles models to agent-based modeling of complex dynamics. These methods are providing essential insights into the underlying cancer biology and identify unique opportunities to cancer prognosis, prediction, treatment planning, and intervention. Moreover, improvements in imaging systems and experimental techniques are providing unparalleled data with which to test, validate, and enhance proposed models. Given the rapid pace of growth seen in this field, many of these advances are being pioneered by early career researchers who are in the process of translating rigorous training into independent investigation.
In this Special Issue, we seek to highlight contributions to mathematical oncology led by early career researchers. We invite submissions that present contributions to mathematical oncology, with a focus on original research that merges modeling with data.
Dr. Russell Rockne
Dr. Alexander Brummer
Dr. Renee Brady-Nicholls
Dr. Lee Curtin
Dr. Chengyue Wu
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 short 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
- mathematical oncology
- computational biology
- mathematical modeling
- computational oncology
- data-driven modeling
- physical oncology
