Mathematical model
New mathematical models presented to more accurately describe existing or new biological and biomedical processes and solved using standard numerical methods.
 
Computational Method
New computational methods/procedures to more accurately solve existing mathematical models for biomedical problems. Any dimensional examples are accepted as long as the method is demonstrated to be better than competing methods.
 
Applications
New problems of clinical and practical interest are solved using existing mathematical and numerical models. At least 3D is required, except for a small number of special cases. Convergence and other accuracy checks are mandatory.
 
General: Prospective authors are invited to submit original articles and reviews in the area of biomedical engineering to International Journal for Numerical Methods in Biomedical Engineering. A standard paper should not normally exceed 20 formatted pages in length, including figures.
 
Topics: All differential equation based models for biomedical applications and their novel solutions (using either established numerical methods such as finite difference, finite element and finite volume methods or new numerical methods) are within the scope of this journal. Manuscripts with experimental and analytical themes are also welcome if a component of the paper deals with numerical methods. Special cases that may not involve differential equations such as image processing, meshing and artificial intelligence are within the scope. Any research that is broadly linked to the wellbeing of the human body, either directly or indirectly, is also within the scope of this journal.
 
·         Part A - Fundamentals: Any new mathematical models and novel numerical solutions should be classed as fundamental. Any work that discovers a fundamental physical phenomenon in biomedical engineering/science will also be categorized as fundamental.

·         Part B - Applications: Any work with immediate impact in healthcare
should be treated as application. The majority of cases that use standard and well known numerical methods to study new biomedical problems typically fall into this category.

EDITORS
Perumal Nithiarasu
Swansea University,
UK
Guowei Wei
Michigan State University
USA
 
ASSOCIATE EDITORS
Pablo Blanco
National Laboratory for Scientific Computing
Brazil
Christian Gasser
KTH
Sweden
Alison Marsden
Stanford University
USA
Karol Miller
University of Western Australia
Australia
Michael Sacks
The University of Texas at Austin
USA
Irene Vignon-Clementel
INRIA
France
Xiao Yun Xu
Imperial College
UK
 
HONORARY EDITOR
Rainald Löhner
George Mason University, Fairfax,
USA
 
EDITORIAL BOARD
H. Adeli
The Ohio State University
Ohio, USA
F. Baaijens
Eindhoven University of Technology
The Netherlands
K. J. Bathe
Massachusetts Institute of Technology
Cambridge, USA
J. Bonet
University of Greenwich
UK
J. R. Cebral
George Mason University
USA
R. A. Feijóo
National Laboratory for Scientific Computing
Brazil
C. Alberto Figueroa
University of Michigan,
USA
L. Formaggia
Politecnico di Milano
Italy
T. Franz
University of Cape Town
South Africa
J.-F. Gerbeau
INRIA
France
G. A. Holzapfel
Graz University of Technology
Austria
R. Hose
The University of Sheffield
UK
T. J. R. Hughes
The University of Texas at Austin
USA
J. Humphrey
Yale University
USA
P. Hunter
The University of Auckland
Auckland, New Zealand
E. Kuhl
Department of Mechanical Engineering
Stanford, USA
K. M. Liew
City University of Hong Kong
Hongkong
G. R. Liu
University of Cincinnati
USA
W. K. Liu
Northwestern University
Evanston, USA
T. J. Lu
Xi'an Jiaotong University
P. R. China
X. Y. Luo
University of Glasgow
UK
R. Mittal
Johns Hopkins University
USA
J. T. Oden
University of Texas at Austin
USA
R. Ohayon
Conservatoire National des Arts et Metiers
France
E. Onate
CIMNE
Spain
M. Oshima
University of Tokyo
Japan
J. Peiro
Imperial College London
UK
A. Quarteroni
Politecnico di Milano - Dipartimento di Matematica 
Italy
J. N. Reddy
Texas A&M University
College Station, USA
A. M. Robertson
University of Pittsburgh
USA
B. A. Schrefler
University of Padova
Italy
K. N. Seetharamu
PES Institute of Technology
Bangalore, India
S. J. Sherwin
Imperial College
UK
M. Siebes
University of Amsterdam
The Netherlands
N. Smith
University of Auckland
New Zealand
D. Steinman
University of Toronto
Canada
C. A. Taylor
Stanford University
USA
T. Tezduyar
Rice University
USA
F. N. van de Vosse
Eindhoven University of Technology
The Netherlands
Y.V. Vassilevski
Russian Academy of Sciences
Russian Federation
A. Veneziani
Emory University
USA
Y. Ventikos
University College London
UK
W. Wall
Technical University of Munich
Germany
A. Yoganathan
Georgia Institute of Technology
USA