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    Coronary artery disease detection using computational intelligence methods

    , Article Knowledge-Based Systems ; Volume 109 , 2016 , Pages 187-197 ; 09507051 (ISSN) Alizadehsani, R ; Zangooei, M. H ; Hosseini, M. J ; Habibi, J ; Khosravi, A ; Roshanzamir, M ; Khozeimeh, F ; Sarrafzadegan, N ; Nahavandi, S ; Sharif University of Technology
    Elsevier B.V 
    Nowadays, cardiovascular diseases are very common and are one of the main causes of death worldwide. One major type of such diseases is the coronary artery disease (CAD). The best and most accurate method for the diagnosis of CAD is angiography, which has significant complications and costs. Researchers are, therefore, seeking novel modalities for CAD diagnosis via data mining methods. To that end, several algorithms and datasets have been developed. However, a few studies have considered the stenosis of each major coronary artery separately. We attempted to achieve a high rate of accuracy in the diagnosis of the stenosis of each major coronary artery. Analytical methods were used to... 

    Graphene scaffolds in progressive nanotechnology/stem cell-based tissue engineering of the nervous system

    , Article Journal of Materials Chemistry B ; Volume 4, Issue 19 , 2016 , Pages 3169-3190 ; 20507518 (ISSN) Akhavan, O ; Sharif University of Technology
    Royal Society of Chemistry  2016
    Although graphene/stem cell-based tissue engineering has recently emerged and has promisingly and progressively been utilized for developing one of the most effective regenerative nanomedicines, it suffers from low differentiation efficiency, low hybridization after transplantation and lack of appropriate scaffolds required in implantations without any degrading in functionality of the cells. In fact, recent studies have demonstrated that the unique properties of graphene can successfully resolve all of these challenges. Among various stem cells, neural stem cells (NSCs) and their neural differentiation on graphene have attracted a lot of interest, because graphene-based neuronal tissue... 

    Functional brain networks in parkinson's disease

    , Article 24th Iranian Conference on Biomedical Engineering and 2017 2nd International Iranian Conference on Biomedical Engineering, ICBME 2017, 30 November 2017 through 1 December 2017 ; 2018 ; 9781538636091 (ISBN) Akbari, S ; Fatemizadeh, E ; Reza Deevband, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2018
    Parkinson's disease (PD) is the second most common and progressive neurological disorder. Parkinson's signs are caused by dysfunction in PD patient's brain network. Newly, resting state functional magnetic resonance imaging has been utilized to assess the altered functional connectivity in PD patients. In this study, we investigated the properties of the brain network topology in 19 PD patients compared to 17 normal healthy group by means of graph theory. In addition, we used four different graph formation methods to explore linear and nonlinear relationships between fMRI signals. Each correlation measure created a weighted graph for each subject. Different graph characteristics have been... 

    Centrality-based epidemic control in complex social networks

    , Article Social Network Analysis and Mining ; Volume 10, Issue 1 , 2020 Doostmohammadian, M ; Rabiee, H. R ; Khan, U. A ; Sharif University of Technology
    Springer  2020
    Recent progress in the areas of network science and control has shown a significant promise in understanding and analyzing epidemic processes. A well-known model to study epidemics processes used by both control and epidemiological research communities is the susceptible–infected–susceptible (SIS) dynamics to model the spread of disease/viruses over contact networks of infected and susceptible individuals. The SIS model has two metastable equilibria: one is called the endemic equilibrium and the other is known as the disease-free or healthy-state equilibrium. Control theory provides the tools to design control actions (allocating curing or vaccination resources) in order to achieve and... 

    A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19)

    , Article Transportation Research Part E: Logistics and Transportation Review ; Volume 138 , June , 2020 Govindan, K ; Mina, H ; Alavi, B ; Sharif University of Technology
    Elsevier Ltd  2020
    The disasters caused by epidemic outbreaks is different from other disasters due to two specific features: their long-term disruption and their increasing propagation. Not controlling such disasters brings about severe disruptions in the supply chains and communities and, thereby, irreparable losses will come into play. Coronavirus disease 2019 (COVID-19) is one of these disasters that has caused severe disruptions across the world and in many supply chains, particularly in the healthcare supply chain. Therefore, this paper, for the first time, develops a practical decision support system based on physicians' knowledge and fuzzy inference system (FIS) in order to help with the demand... 

    Potential effects of alginate–pectin biocomposite on the release of folic acid and their physicochemical characteristics

    , Article Journal of Food Science and Technology ; Volume 57, Issue 9 , March , 2020 , Pages 3363-3370 Kiaei Pour, P ; Alemzadeh, I ; Vaziri, A. S ; Beiroti, A ; Sharif University of Technology
    Springer  2020
    Potential effects of folates on the treatment of several human diseases like cognitive function, neural tube defects, coronary heart disease and certain kinds of cancers have been discovered. However, the stability of folic acid against adverse conditions is a great concern. The present study investigates various alginate (A)–pectin (P) gastrointestinal-resistant hydrogel to immobilize folic acid. This involves evaluating different compositions of alginate–pectin to achieve higher encapsulation efficiency and stability during simulated gastric (SG) and simulated intestinal (SI) conditions. Coated alginate hydrogels with pectin resulted significant (p < 0.05) better protection of folic acid... 

    A k-NN method for lung cancer prognosis with the use of a genetic algorithm for feature selection

    , Article Expert Systems with Applications ; Volume 164 , 2021 ; 09574174 (ISSN) Maleki, N ; Zeinali, Y ; Akhavan Niaki, S. T ; Sharif University of Technology
    Elsevier Ltd  2021
    Lung cancer is one of the most common diseases for human beings everywhere throughout the world. Early identification of this disease is the main conceivable approach to enhance the possibility of patients’ survival. In this paper, a k-Nearest-Neighbors technique, for which a genetic algorithm is applied for the efficient feature selection to reduce the dataset dimensions and enhance the classifier pace, is employed for diagnosing the stage of patients’ disease. To improve the accuracy of the proposed algorithm, the best value for k is determined using an experimental procedure. The implementation of the proposed approach on a lung cancer database reveals 100% accuracy. This implies that one... 

    Wolfram-like syndrome with bicuspid aortic valve due to a homozygous missense variant in CDK13

    , Article Journal of Human Genetics ; Volume 66, Issue 10 , 2021 , Pages 1009-1018 ; 14345161 (ISSN) Acharya, A ; Raza, S. I ; Anwar, M. Z ; Bharadwaj, T ; Liaqat, K ; Khokhar, M. A. S ; Everard, J. L ; Nasir, A ; Nickerson, D. A ; Bamshad, M. J ; Ansar, M ; Schrauwen, I ; Ahmad, W ; Leal, S. M ; University of Washington Center for Mendelian Genomics ; Sharif University of Technology
    Springer Nature  2021
    Background: Wolfram syndrome (WFS) is characterized by deafness, diabetes mellitus, and diabetes insipidus along with optic atrophy. WFS has an autosomal recessive mode of inheritance and is due to variants in WFS1 and CISD2. Methods: We evaluated the underlying molecular etiology of three affected members of a consanguineous family with hearing impairment, bicuspid aortic valve, diabetes mellitus and insipidus, clinodactyly, and gastrointestinal tract abnormalities via exome sequencing approach. We correlated clinical and imaging data with the genetic findings and their associated phenotypes. Results: We identified a homozygous missense variant p.(Asn1097Lys) in CDK13, a gene previously... 

    Application Microarray Technology in Infectious Diseases

    , M.Sc. Thesis Sharif University of Technology Nazari Nodooshan, Khadijeh (Author) ; Mahdavi-Amiri, Nezameddin (Supervisor) ; Karami, Ali (Co-Advisor)
    DNA microarrays consist of DNA microscopic points that are attached to a solid surface such as glass, plastic or silicon chip and formed as an array. The fixed pieces of DNA are considered as searchers. In an experiment, we can use thousands of searchers. Therefore, any microarray consists of the same number of genetic tests as the experiment performed on all of them in parallel. Whit this ability, arrays have speeded up the biological investigations. Microarray technology can be seen as a continued development of southern blotting. However, the most important stage in this technology, analysis of data, requires reliable bioinformatics tools achieving high reliabilities. Infectious diseases,... 

    Preparation of Hemodialysis Membrane on the Basis of Polysulfone

    , M.Sc. Thesis Sharif University of Technology Sajjadi, Morteza (Author) ; Moosavi, Ali (Supervisor) ; Abd Khodaei, Mohammad Jafar (Supervisor)
    In Hemodialysis, membrane dialyser and commonly hollow fibers are used to treat patients who suffer from end stage renal failure. When blood flows into membrane, it loses uremic toxins such as urea and creatinine. On the other hand, some of the vital proteins of blood pass through the membrane or they are adsorbed on the membrane surface. The more hydrophilicity of the membrane, the less adsorption of proteins is. In this study, to achieve high hydrophilicity and low adsorption of proteins on the polysulfone membrane surface, the presence of hydrophilic nano-particles SBA-15 in membrane composition is investigated. The nano-particles with mass percentages 0.25%, 0.5 % and 1 % to one mass of... 

    Investigating the Effects of DBS on Brain Connectivity by Causal Inference in Parkinson’s Disease

    , M.Sc. Thesis Sharif University of Technology Ostad Mohammadi, Mohammad (Author) ; Rabiee, Hamid Reza (Supervisor)
    Parkinson’s disease (PD) is a progressive debilitating neurological disorder that causes motor and cognitive impairment. Administration of dopaminergic medication (Levodopa) has been reported to be effective in attenuating the excessive pathological synchronization in basal ganglia. However, long term levodopa therapy has its pitfalls. High frequency deep brain stimulation (DBS) has been suggested as an effective alternative for reducing motor symptoms in PD. In this method, distinct brain regions involved in the pathophysiology of the disease are stimulated electrically at high frequencies (i.e. at 130 Hz). While several studies have been carried out on the effects of DBS and its clinical... 

    Biosensor for Fast Detection (Based on Thyroid Hormones)

    , M.Sc. Thesis Sharif University of Technology Moradi, Farshid (Author) ; Abdekhodaie, Mohammad Jafar (Supervisor)
    Thyroid gland is one of the important internal organs of the body that is responsible for T3 and T4 hormones secretion. Concentration of these hormones directly influences growth of body, thus measurement concentration of thyroid hormones is one of the most common experiments all of the world, specially in our country that Hypothyroidism is common among people. Secretion of hormones in thyroid gland controlled by TSH (thyroid Stimulating Hormone) that released from Pituitary gland. TSH concentration is opposite of level of thyroid secretion. Because of interconnected relationship between these three hormones, measurement of each of them is so important. Many researches for developing... 

    An Analysis of a Mathematical Model Describing the Geographic Spread of Dengue Disease

    , M.Sc. Thesis Sharif University of Technology Hashemifar, Alireza (Author) ; Hesaraki, Mahmoud (Supervisor)
    We consider a system of nonlinear partial differential equations corresponding to a generalization of a mathematical model for geographical spreading of dengue disease. the mosquito population is divided into subpopulations: winged form (mature female mosquitoes) and aquatic form (comprising eggs, larvae and pupae); the human population is divided into the subpopulations:susceptible, infected and removed (or immune). On the other hand we allow higher spatial dimensions and also parameters depending on space and time. is last generalization is done to cope with possible abiotic effects as variations in temperature, humidity, wind velocity, carrier capacities, and so on; thus, the results... 

    Spatial analysis and mapping of malaria risk in an endemic area, south of Iran: A GIS based decision making for planning of control

    , Article Acta Tropica ; Volume 122, Issue 1 , 2012 , Pages 132-137 ; 0001706X (ISSN) Hanafi Bojd, A. A ; Vatandoost, H ; Oshaghi, M. A ; Charrahy, Z ; Haghdoost, A. A ; Zamani, G ; Abedi, F ; Sedaghat, M. M ; Soltani, M ; Shahi, M ; Raeisi, A ; Sharif University of Technology
    Bashagard district is one of the important malaria endemic areas in southern Iran. From this region a total of 16,199 indigenous cases have been reported in recent years. The aim of this study was to determine the situation of the disease and provide the risk map for the area. ArcGIS9.2 was used for mapping spatial distribution of malaria incidence. Hot spots were obtained using evidence-based weighting method for transmission risk. Environmental factors including temperature, relative humidity, altitude, slope and distance to rivers were combined by weighted multi criteria evaluation for mapping malaria hazard area at the district level. Similarly, risk map was developed by overlaying... 

    Paroxysmal atrial fibrillation prediction using Kalman filter

    , Article ACM International Conference Proceeding Series, 26 October 2011 through 29 October 2011, Barcelona ; 2011 ; 9781450309134 (ISBN) Montazeri, N ; Shamsollahi, M. B ; Carrault, G ; Hernández, A. I ; Sharif University of Technology
    In this paper, we proposed a method based on Kalman Filter for predicting the onset of paroxysmal atrial fibrillation (PAF) from the electrocardiogram (ECG) using clinical data available from the Computers in Cardiology (CinC) Challenge 2001. To predict PAF, we developed an algorithm based upon the number of atrial premature complexes (APCs) in the ECG. The algorithm detects classical isolated APCs by monitoring fidelity signals, which is defined here as a function of the innovation signal of Kalman filter, in vicinity of premature heartbeats and decides whether one beat is APC or not then predicts PAF, based on the number of APC. The challenge database consists of 56 pairs of 30-minute ECG... 

    Global analysis of a model of differential susceptibility induced by genetics

    , Article Nonlinear Analysis: Real World Applications ; Volume 12, Issue 4 , 2011 , Pages 2183-2197 ; 14681218 (ISSN) Razvan, M. R ; Yasaman, S ; Sharif University of Technology
    This paper is concerned with global analysis of an SIS epidemiological model in a population of varying size with two dissimilar groups of susceptible individuals. We prove that this system has no periodic solutions and use the Poincar index theorem to determine the number of rest points and their stability properties. It has been shown that multiple equilibria (bistability) occurs for suitable values of parameters. We also give some numerical examples of all possible bifurcations of this system  

    Comments regarding: Pereira SA, Lopez M, Lavado N, Abreu JM, Silva H. A clinical risk prediction model of orthodontic-induced external apical root resorption. Revista Portuguesa de Estomatologia, Medicina Dentária e Cirurgia Maxilofacial 2014;55(2):66-72

    , Article Revista Portuguesa de Estomatologia, Medicina Dentaria e Cirurgia Maxilofacial ; Volume 56, Issue 3 , 2015 , Pages 141-142 ; 16462890 (ISSN) Abdi, A. H ; Sharif University of Technology
    Elsevier Doyma  2015

    Reliability and validity of the Persian version of Foot and Ankle Ability Measure (FAAM) to measure functional limitations in patients with foot and ankle disorders

    , Article Osteoarthritis and Cartilage ; Volume 18, Issue 6 , 2010 , Pages 755-759 ; 10634584 (ISSN) Mazaheri, M ; Salavati, M ; Negahban, H ; Sohani, S. M ; Taghizadeh, F ; Feizi, A ; Karimi, A ; Parnianpour, M ; Sharif University of Technology
    Objective: To translate the Foot and Ankle Ability Measure (FAAM) into Persian and to evaluate the psychometric properties of the Persian version of FAAM. Methods: 93 patients with a range of foot and ankle disorders, completed the Persian version of the FAAM and Short-Form 36 Health Survey (SF-36) in the test session. With an interval of 2-6 days, 60 patients filled out the FAAM in the retest session. The FAAM is composed of two subscales including activities of daily living (ADL) and SPORTS. Internal consistency was assessed using Cronbach's alpha, test-retest reliability using intraclass correlation coefficient (ICC) and standard error of measurement (s.e.m.), item internal consistency... 

    Exploring cellular interactions of liposomes using protein corona fingerprints and physicochemical properties

    , Article ACS Nano ; Volume 10, Issue 3 , 2016 , Pages 3723-3737 ; 19360851 (ISSN) Bigdeli, A ; Palchetti, S ; Pozzi, D ; Hormozi Nezhad, M. R ; Baldelli Bombelli, F ; Caracciolo, G ; Mahmoudi, M ; Sharif University of Technology
    American Chemical Society 
    To control liposomes fate and transport upon contact with biofluids, it is essential to consider several parameters affecting the synthetic and biological identity of liposomes, as well as liposome-protein corona (PC) aspects. As a powerful tool in this data mining adventure, quantitative structure-activity relationship (QSAR) approach is used to correlate physicochemical properties of liposomes and their PC fingerprints to multiple quantified biological responses. In the present study, the relationship between cellular interactions of a set of structurally diverse liposomal formulations and their physicochemical and PC properties has been investigated via linear and nonlinear QSAR models.... 

    Alzheimer’s disease early diagnosis using manifold-based semi-supervised learning

    , Article Brain Sciences ; Volume 7, Issue 8 , 2017 ; 20763425 (ISSN) Khajehnejad, M ; Habibollahi Saatlou, F ; Mohammadzade, H ; Sharif University of Technology
    Alzheimer’s disease (AD) is currently ranked as the sixth leading cause of death in the United States and recent estimates indicate that the disorder may rank third, just behind heart disease and cancer, as a cause of death for older people. Clearly, predicting this disease in the early stages and preventing it from progressing is of great importance. The diagnosis of Alzheimer’s disease (AD) requires a variety of medical tests, which leads to huge amounts of multivariate heterogeneous data. It can be difficult and exhausting to manually compare, visualize, and analyze this data due to the heterogeneous nature of medical tests, therefore, an efficient approach for accurate prediction of the...