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Mathematics in Medical and Life Sciences is a high-quality research journal focusing on Mathematical Sciences, broadly defined, including statistics, computational biology and computational engineering. The journal invites novel enquiry combining mathematical research with domain relevance to current questions and challenges at the cutting edges of medicine, biology or the life sciences.
MMLS has an inherently applied nature but covers both theoretical and applied mathematics with topics covered including, but not limited to the following:
• Biomechanics
• Cardiovascular modelling
• Cell and developmental biology
• Disease modelling
• Ecological mathematics
• Epidemiology
• Immunobiology and infection
• Mathematical oncology
• Mathematical biology
• Population dynamics
• Systems biology and pharmacology
Mathematical and statistical methodology may include, but are not limited to, cross-cutting areas including:
• Continuous and discrete dynamical systems
• Partial differential equations
• Cellular automata
• Complexity and network science
• Stochastic and probabilistic modelling
• Asymptotic analysis
• Multiscale modelling
• Game theory
• Applications of geometry and topology in life sciences and medicine
• Parameter inference and model identifiability
• Image analysis
• Scientific computation and software development
• Machine learning and data science
• Design of experiments and interpretation of experimental data
MMLS is a multidisciplinary venue which has at its core mathematical development, novelty, and robustness at the heart of its publications, while ensuring non-mathematically trained domain readers can grasp and value the novelty and meaning of each work. This is also reflected with the review process aiming for, as a minimum, one review by a mathematician and one review from a domain expert.
MMLS publishes original research articles, review articles, article commentaries, and data notes, along with primer articles designed to communicate mathematical and statistical concepts in the context of a domain of application.
Criteria for Publication:
In order to meet MMLS’s standards for publication, the following criteria must be met:
(1) mathematical/statistical soundness, clarity, and novelty (either in techniques or application).
(2) demonstrable relevance to current biology, ecology and/or medicine, with genuine contact being made with the state of the art in domain literature, and excellent accessibility to domain readers.
(3) conclusions supported by the analysis, with any uncertainties clearly noted and discussed.
Papers may include original experimental data, however the quantitative treatment must be significantly beyond routine statistical analysis. Papers may also include re-analysis of previously published or publicly available data, however the novelty of the mathematical treatment must be clear and the added value of this analysis to domain knowledge should also be clearly explained.
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