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dc.contributor.editorPapa, Federico
dc.contributor.editorSinisgalli, Carmela
dc.date.accessioned2022-02-24T10:35:36Z
dc.date.available2022-02-24T10:35:36Z
dc.date.issued2022
dc.identifierONIX_20220224_9783036527659_59
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/78761
dc.description.abstractMathematical modeling is a powerful approach supporting the investigation of open problems in natural sciences, in particular physics, biology and medicine. Applied mathematics allows to translate the available information about real-world phenomena into mathematical objects and concepts. Mathematical models are useful descriptive tools that allow to gather the salient aspects of complex biological systems along with their fundamental governing laws, by elucidating the system behavior in time and space, also evidencing symmetry, or symmetry breaking, in geometry and morphology. Additionally, mathematical models are useful predictive tools able to reliably forecast the future system evolution or its response to specific inputs. More importantly, concerning biomedical systems, such models can even become prescriptive tools, allowing effective, sometimes optimal, intervention strategies for the treatment and control of pathological states to be planned. The application of mathematical physics, nonlinear analysis, systems and control theory to the study of biological and medical systems results in the formulation of new challenging problems for the scientific community. This Special Issue includes innovative contributions of experienced researchers in the field of mathematical modelling applied to biology and medicine.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries
dc.subject.otherCOVID-19 seasonality
dc.subject.otherS.I.R. models
dc.subject.othermathematical modeling
dc.subject.otherforced seasonality
dc.subject.otherconfounding variables
dc.subject.otheruncertainty
dc.subject.otherAtangana–Baleanu
dc.subject.otherCaputo
dc.subject.othereco-epidemiology
dc.subject.otherRosenzweig–MacArthur
dc.subject.otherepidemic ODE model
dc.subject.otherCOVID-19 spread in Italy
dc.subject.othersystem control and identification
dc.subject.otherblood microcirculation
dc.subject.otherultrafiltration process
dc.subject.othervasomotion
dc.subject.otherFårhæus–Lindquist effect
dc.subject.othertype-1 diabetes mellitus
dc.subject.otherglobal analysis
dc.subject.otherβ cells
dc.subject.otherregulatory system
dc.subject.otherdynamical systems
dc.subject.othernetwork optimization
dc.subject.otherstability analysis
dc.subject.otherglobal attractor
dc.subject.otherrelative entropy
dc.subject.otherinformation geometry
dc.subject.otherVoronoi diagram
dc.subject.otherdiffusion process
dc.subject.otherbivariate probability density function
dc.subject.otherdiameter
dc.subject.otherpolygon area
dc.subject.otherstand density
dc.subject.otherpredictive microbiology
dc.subject.otherlactic acid bacteria
dc.subject.otherbatch fermentation
dc.subject.otherprimary mathematical model
dc.subject.otherbacterial growth
dc.subject.otherbounded noises
dc.subject.otherkinetic theory
dc.subject.otheractive particles
dc.subject.otherstatistical mechanics
dc.subject.otherpopulation dynamics
dc.subject.otherFokker–Planck equation
dc.subject.othermathematical oncology
dc.subject.otherecology
dc.subject.othernoise induced transitions
dc.subject.othersystems biology
dc.subject.otherenzymatic reactions
dc.subject.otherquadratization
dc.subject.otherODE integration
dc.titleMathematical Modeling of Biological Systems
dc.title.alternativeGeometry, Symmetry and Conservation Laws
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-2765-9
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036527659
oapen.relation.isbn9783036527642
oapen.pages218
oapen.place.publicationBasel


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