Mathematical Modeling and Data Science for Biology and Medicine, 2nd Edition
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E3: Mathematical Biology".
Deadline for manuscript submissions: 15 September 2026 | Viewed by 1267
Special Issue Editor
Interests: nonlinear partial differential equations; mathematical physics; mathematical biology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The importance of mathematical modeling and data science is growing for understanding biological events and medical applications. This Special Issue, as a follow up to the previous edition, will attempt to study these still-mysterious matters observed in living things from mathematics and data science, covering topics including mathematical modelling of complex biological systems, optimal control strategies for biological systems, numerical methods for solving differential equations in biology and healthcare models, stochastic and hybrid models in biology and medicine, data-driven modeling of biology and medicine, statistics and data science for biological and biomedical data analysis, etc.
Here is a list of examples of biological questions for which a new mathematical approach is expected. New ideas, concepts, models, analysis, predictions, biological, and medical applications are welcome:
- Dynamic mechanism of complex biological systems
- Biological reactions caused by several interactions of stimulations, such as high and low temperatures, pH, osmotic pressures, cytokines, hormones, viruses, etc.;
- Analysis of the effect of multisensing in multi-scale biological events;
- Communications between heterogeneous cells, reactions to organs, and their interactions;
- Biological homeostasis through a reaction network and its breakdown;
- The role of the microenvironment in the malignancy of cancer cells;
- Mathematical modeling of signal transmission and cross-talks of signals inside and outside cells;
- Data science methods used to detect biological mechanisms which were not known before, and applications;
- New diagnoses and therapies using mathematical methods;
- New mathematical concepts motivated by biological and medical events, their analysis, and applications;
- How to deal with social data of healthcare and the deceased to construct mathematical models to predict events.
- Multi-scale modeling and agent-based simulation of cell–cell interactions.
- Mathematical methods for the detection and prediction of gene expression and metabolism.
Prof. Dr. Takashi Suzuki
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 short 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. Mathematics 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 2600 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
- mathematical immunology
- mathematical epidemiology
- population dynamics
- mathematical methods in diagnosis and therapy
- systems biology
- infectious disease modeling
- epidemiological dynamics
- human behaviors
- evolution dynamics
- signaling pathways
- cell dynamics
- biomedical data analysis
- biological signal analysis
- regression models
- data-driven modeling machine learning approaches
- data science
- multi-scale modeling
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