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Theoretical Biology and Medical Modelling
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1. Research
A group matrix representation relevant to scales of measurement of
clinical disease states via stratified vectors
Jitsuki Sawamura, Shigeru Morishita and Jun Ishigooka
Published on: 9 February 2016
2. Software
A cell-centered, agent-based framework that enables flexible environment
granularities
Ryan C Kennedy, Glen EP Ropella and C Anthony Hunt
Published on: 2 February 2016
3. Research
Simulation and qualitative analysis of glucose variability, mean glucose,
and hypoglycemia after subcutaneous insulin therapy for stress
hyperglycemia
Richard J. Strilka, Mamie C. Stull, Michael S. Clemens, Stewart C. McCaver and Scott
B. Armen
Published on: 27 January 2016
4. Research
Extracting DNA words based on the sequence features: non-uniform
distribution and integrity
Zhi Li, Hongyan Cao, Yuehua Cui and Yanbo Zhang
Published on: 25 January 2016
5. Review
Numerical simulations of multicomponent ecological models with adaptive
methods
Kolade M. Owolabi and Kailash C. Patidar
Published on: 8 January 2016
View all articles
Most accessed articles
Most accessed articles RSS
1. Research
Structural, phylogenetic and docking studies of D-amino acid oxidase
activator (DAOA), a candidate schizophrenia gene
Sheikh Arslan Sehgal, Naureen Aslam Khattak and Asif Mir
Published on: 4 January 2013
2. Research
Serotonin synthesis, release and reuptake in terminals: a mathematical
model
Janet Best, H Frederik Nijhout and Michael Reed
Published on: 19 August 2010
3. Research
A thalamic reticular networking model of consciousness
Byoung-Kyong Min
Published on: 30 March 2010
4. Research
A simple intravenous glucose tolerance test for assessment of insulin
sensitivity
Robert G Hahn, Stefan Ljunggren, Filip Larsen and Thomas Nyström
Published on: 2 May 2011
5. Research
Linking neuronal brain activity to the glucose metabolism
Britta Göbel, Kerstin M Oltmanns and Matthias Chung
Published on: 29 August 2013
View all articles
Aims and scope
Theoretical Biology and Medical Modelling is an open access, peer-reviewed, online journal
adopting a broad definition of "biology" and focusing on theoretical ideas and models associated
with developments in biology and medicine. Mathematicians, biologists and clinicians of various
specialisms, philosophers and historians of science are all contributing to the emergence of novel
concepts in an age of systems biology, bioinformatics and computer modelling. This is the field
in which Theoretical Biology and Medical Modelling operates. We welcome submissions that
are technically sound and offering either improved understanding in biology and medicine or
progress in theory or method.
Featured article: Disc degeneration implies low back pain
Wikimedia commons
In this study, Chang-Jiang Zheng and James Chen build a physiologically-based model
investigating the relationship between disc degeneration and low back pain. They confirm that
disc degeneration is the driving force behind, and cause of, age dependence in low back pain.
Read more.
Editors-in-Chief
Professor Hiroshi Nishiura
Professor Nishiura is an Associate Professor at the Graduate School of Medicine, The University
of Tokyo. He is cosmopolitan-minded, having worked for 10 years for different infectious
disease modeling groups at Imperial College London, University of Tuebingen (Germany),
University of Utrecht (The Netherlands) and the University of Hong Kong, before returning back
to Japan in 2013. His research interests span the areas of statistical epidemiology of infectious
diseases, epidemiological modeling and biomathematical formulation of the transmission
dynamics of infectious diseases. He aims to answer policy-relevant questions by integrating
various mathematical models with empirically observed data. A common thread in his research is
an understanding of the epidemiological dynamics underlying empirically observed data.
Professor Rongling Wu
Professor Wu is the Director of the Center of Statistical Genetics and Professor of Public Health
Science Science and Statistics at Pennsylvania State University. His initial training in forestry
and genetics at Nanjing Forestry University, China, was followed by doctoral studies in
quantitative genetics and genomic mapping at the University of Washington. He then worked for
eight years at the University of Florida, where he became Professor of Statistics, before moving
to Penn State in 2008.
The Center of Statistical Genetics is composed of talented people trained in diverse areas,
ranging from genetics and molecular biology to statistics and mathematics to computer sciences
and engineering.
By developing powerful statistical models and algorithms, his multi-disciplinary group is
attempting to unravel the genetic roots for the outcome of a biological trait by dissecting the trait
into its biochemical and developmental pathways.
Dr Edward Rietman
Dr Rietman has a Ph.D. in physics, M.S. in materials science, B.S. degrees in physics and
chemistry, and a B.A. in philosophy. He worked at Bell Labs in New Jersey for 20 years in solidstate chemistry, analog electronics, artificial intelligence, and computer integrated
manufacturing. After leaving Bell Labs he worked at various military and venture capital funded
think tanks in applied optics, applied acoustics and database mining. In 2004 he completed a
graduate degree in bioinformatics and in 2009 accepted a postdoc position at Dana Farber Cancer
Institute. In 2011 he joined the Center for Cancer Systems Biology at St. Elizabeth’s Medical
Center and in January, 2014 joined Newman Lakka Institute and Tufts Medical Center, Pediatric
Oncology Department.
His current work involves using heretofore underutilized areas of mathematics and mathematical
physics to discover potential drug targets in molecular networks. Some of these mathematical
areas include molecular thermodynamics, group theory, abstract algebra and topology.
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ISSN:
1742-4682
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