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Numerical modeling in arterial hemodynamics incorporating fluid-structure interaction and microcirculation Theor. Biol. Med. Model. (IF 1.68) Pub Date : 2021-01-19 Fan He; Lu Hua; Tingting Guo
The effects of arterial wall compliance on blood flow have been revealed using fluid-structure interaction in last decades. However, microcirculation is not considered in previous researches. In fact, microcirculation plays a key role in regulating blood flow. Therefore, it is very necessary to involve microcirculation in arterial hemodynamics. The main purpose of the present study is to investigate
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Correction to: Required concentration index quantifies effective drug combinations against hepatitis C virus infection Theor. Biol. Med. Model. (IF 1.68) Pub Date : 2021-01-19 Yusuke Kakizoe; Yoshiki Koizumi; Yukino Ikoma; Hirofumi Ohashi; Takaji Wakita; Shingo Iwami; Koichi Watashi
An amendment to this paper has been published and can be accessed via the original article.
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Required concentration index quantifies effective drug combinations against hepatitis C virus infection Theor. Biol. Med. Model. (IF 1.68) Pub Date : 2021-01-09 Yusuke Kakizoe; Yoshiki Koizumi; Yukino Ikoma; Hirofumi Ohashi; Takaji Wakita; Shingo Iwami; Koichi Watashi
Successful clinical drug development requires rational design of combination treatments based on preclinical data. Anti-hepatitis C virus (HCV) drugs exhibit significant diversity in antiviral effect. Dose-response assessments can be used to determine parameters profiling the diverse antiviral effect during combination treatment. In the current study, a combined experimental and mathematical approaches
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Analysis and forecast of dengue incidence in urban Colombo, Sri Lanka Theor. Biol. Med. Model. (IF 1.68) Pub Date : 2021-01-07 KKWH Erandi; SSN Perera; AC Mahasinghe
Understanding the dynamical behavior of dengue transmission is essential in designing control strategies. Mathematical models have become an important tool in describing the dynamics of a vector borne disease. Classical compartmental models are well–known method used to identify the dynamical behavior of spread of a vector borne disease. Due to use of fixed model parameters, the results of classical
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A numerical simulation of air flow in the human respiratory system for various environmental conditions Theor. Biol. Med. Model. (IF 1.68) Pub Date : 2021-01-06 Alibek Issakhov; Yeldos Zhandaulet; Aizhan Abylkassymova; Assylbek Issakhov
The functions of the nasal cavity are very important for maintaining the internal environment of the lungs since the inner walls of the nasal cavity control the temperature and saturation of the inhaled air with water vapor until the nasopharynx is reached. In this paper, three-dimensional computational studies of airflow transport in the models of the nasal cavity were carried out for the usual inspiratory
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Statistical field theory of the transmission of nerve impulses Theor. Biol. Med. Model. (IF 1.68) Pub Date : 2021-01-06 Gianluigi Zangari del Balzo
Stochastic processes leading voltage-gated ion channel dynamics on the nerve cell membrane are a sufficient condition to describe membrane conductance through statistical mechanics of disordered and complex systems. Voltage-gated ion channels in the nerve cell membrane are described by the Ising model. Stochastic circuit elements called “Ising Neural Machines” are introduced. Action potentials are
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Simulation-based assessment of model selection criteria during the application of benchmark dose method to quantal response data. Theor. Biol. Med. Model. (IF 1.68) Pub Date : 2020-08-05 Keita Yoshii,Hiroshi Nishiura,Kaoru Inoue,Takayuki Yamaguchi,Akihiko Hirose
To employ the benchmark dose (BMD) method in toxicological risk assessment, it is critical to understand how the BMD lower bound for reference dose calculation is selected following statistical fitting procedures of multiple mathematical models. The purpose of this study was to compare the performances of various combinations of model exclusion and selection criteria for quantal response data. Simulation-based
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Ontological model of multi-agent Smart-system for predicting drug properties based on modified algorithms of artificial immune systems. Theor. Biol. Med. Model. (IF 1.68) Pub Date : 2020-07-20 Galina Samigulina,Zarina Samigulina
Currently, due to the huge progress in the field of information technologies and computer equipment, it is important to use modern approaches of artificial intelligence in order to process extensive chemical information at creating new drugs with desired properties. The interdisciplinary of research creates additional difficulties in creating new drugs. Currently, there are no universal algorithms
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Quantifying the annual incidence and underestimation of seasonal influenza: A modelling approach. Theor. Biol. Med. Model. (IF 1.68) Pub Date : 2020-07-10 Zachary McCarthy,Safia Athar,Mahnaz Alavinejad,Christopher Chow,Iain Moyles,Kyeongah Nah,Jude D Kong,Nishant Agrawal,Ahmed Jaber,Laura Keane,Sam Liu,Myles Nahirniak,Danielle St Jean,Razvan Romanescu,Jessica Stockdale,Bruce T Seet,Laurent Coudeville,Edward Thommes,Anne-Frieda Taurel,Jason Lee,Thomas Shin,Julien Arino,Jane Heffernan,Ayman Chit,Jianhong Wu
Seasonal influenza poses a significant public health and economic burden, associated with the outcome of infection and resulting complications. The true burden of the disease is difficult to capture due to the wide range of presentation, from asymptomatic cases to non-respiratory complications such as cardiovascular events, and its seasonal variability. An understanding of the magnitude of the true
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Modelling HIV disease process and progression in seroconversion among South Africa women: using transition-specific parametric multi-state model. Theor. Biol. Med. Model. (IF 1.68) Pub Date : 2020-06-23 Zelalem G Dessie,Temesgen Zewotir,Henry Mwambi,Delia North
HIV infected patients may experience many intermediate events including between-event transition throughout their follow up. Through modelling these transitions, we can gain a deeper understanding of HIV disease process and progression and of factors that influence the disease process and progression pathway. In this work, we present transition-specific parametric multi-state models to describe HIV
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Risk estimation of the SARS-CoV-2 acute respiratory disease outbreak outside China. Theor. Biol. Med. Model. (IF 1.68) Pub Date : 2020-06-05 Soyoung Kim,Sunhwa Choi,Youngsuk Ko,Moran Ki,Eunok Jung
On December 31, 2019, the World Health Organization was alerted to the occurrence of cases of pneumonia in Wuhan, Hubei Province, China, that were caused by an unknown virus, which was later identified as a coronavirus and named the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We aimed to estimate the reproductive number of SARS-CoV-2 in the Hubei Province and evaluate the risk of
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Computational models of melanoma. Theor. Biol. Med. Model. (IF 1.68) Pub Date : 2020-05-14 Marco Albrecht,Philippe Lucarelli,Dagmar Kulms,Thomas Sauter
Genes, proteins, or cells influence each other and consequently create patterns, which can be increasingly better observed by experimental biology and medicine. Thereby, descriptive methods of statistics and bioinformatics sharpen and structure our perception. However, additionally considering the interconnectivity between biological elements promises a deeper and more coherent understanding of melanoma
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Modelling the effect of a dengue vaccine on reducing the evolution of resistance against antibiotic due to misuse in dengue cases. Theor. Biol. Med. Model. (IF 1.68) Pub Date : 2020-05-13 Ana Kurauchi,Claudio Jose Struchiner,Annelies Wilder-Smith,Eduardo Massad
BACKGROUND This paper intends to check whether and how a hypothetical dengue vaccine could contribute to issue of evolution of bacteria resistance against antibiotics by reducing the number of patients that would inappropriately being treated with antibiotics. METHODS We use a new mathematical model that combines, in a novel way, two previously published papers, one on the evolution of resistance against
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Modeling and dynamic analysis of tuberculosis in mainland China from 1998 to 2017: the effect of DOTS strategy and further control. Theor. Biol. Med. Model. (IF 1.68) Pub Date : 2020-05-04 Siyu Liu,Yingjie Bi,Yawen Liu
BACKGROUND Tuberculosis (TB) is one of the most important health topics in the world. Directly observed treatment and short course chemotherapy (DOTS) strategy combines medicine care and modern health system firmly, and it has been carried out by World Health Organization (WHO) since 1997. In the struggle with TB, China has promoted the process of controlling the disease actively, and the full coverage
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UGM: a more stable procedure for large-scale multiple testing problems, new solutions to identify oncogene Theor. Biol. Med. Model. (IF 1.68) Pub Date : 2019-12-23 Chengyou Liu,Leilei Zhou,Yuhe Wang,Shuchang Tian,Junlin Zhu,Hang Qin,Yong Ding,Hongbing Jiang
Variations of gene expression levels play an important role in tumors. There are numerous methods to identify differentially expressed genes in high-throughput sequencing. Several algorithms endeavor to identify distinctive genetic patterns susceptable to particular diseases. Although these processes have been proved successful, the probability that the number of non-differentially expressed genes
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Modelling the effects of glucagon during glucose tolerance testing Theor. Biol. Med. Model. (IF 1.68) Pub Date : 2019-12-12 Ross A. Kelly,Molly J. Fitches,Steven D. Webb,S. R. Pop,Stewart J. Chidlow
Background Glucose tolerance testing is a tool used to estimate glucose effectiveness and insulin sensitivity in diabetic patients. The importance of such tests has prompted the development and utilisation of mathematical models that describe glucose kinetics as a function of insulin activity. The hormone glucagon, also plays a fundamental role in systemic plasma glucose regulation and is secreted