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    Impedimetic biosensor for the DNA of the human papilloma virus based on the use of gold nanosheets

    , Article Microchimica Acta ; Volume 184, Issue 6 , 2017 , Pages 1729-1737 ; 00263672 (ISSN) Karimizefreh, A ; Aghakhani Mahyari, F ; VaezJalali, M ; Mohammadpour, R ; Sasanpour, P ; Sharif University of Technology
    Abstract
    The authors describe an impedimetric method for the quantitation of the DNA of the human papilloma virus (HPV) type 16. A glassy carbon electrode (GCE) was modified with gold nanosheets and is shown to be superior to a common gold disk electrode. A single-stranded 25mer oligonucleotide (ssDNA) acting as the probe DNA was immobilized via its thiolated 5′ end on both electrodes. After hybridization with target (analyte) DNA, electrochemical impedance spectra were acquired in the presence of hexacyanoferrate as a redox marker. The sensor can distinguish between complementary, non-complementary and single base pair mismatches of HPV ssDNA. At a 1 mM hexacyanoferrate concentration, the biosensors... 

    Designing a new multifunctional peptide for metal chelation and Aβ inhibition

    , Article Archives of Biochemistry and Biophysics ; Volume 653 , 2018 , Pages 1-9 ; 00039861 (ISSN) Shamloo, A ; Asadbegi, M ; Khandan, V ; Amanzadi, A ; Sharif University of Technology
    Academic Press Inc  2018
    Abstract
    According to the Amyloid hypothesis, as the foremost scientific explanation for Alzheimer Disease (AD), the neuropathology of AD is related to toxic fragments of amyloid beta (Aβ) protein. Based on this hypothesis, an attractive therapeutic approach was demonstrated to identify multifunctional peptides able to modulate Aβ pathologies as the source of AD. On this premise, a bifunctional polypeptide based on the iAβ5p lead compound, was designed to inhibit Aβ aggregation and free metal ions. Herein, the efficacy of this novel drug in Zn2+ and Cd2+ ion chelation was examined through an integrated technique comprising combined Docking, QM, and MD simulations. MD relaxation of a set of probable... 

    Differentiation of inflammatory papulosquamous skin diseases based on skin biophysical and ultrasonographic properties: A decision tree model

    , Article Indian Journal of Dermatology, Venereology and Leprology ; Volume 86, Issue 6 , 2020 , Pages 752- Yazdanparast, T ; Yazdani, K ; Ahmad Nasrollahi, S ; Nazari, M ; Darooei, R ; Firooz, A ; Sharif University of Technology
    Wolters Kluwer Medknow Publications  2020
    Abstract
    The biophysical and ultrasonographic properties of the skin change in papulosquamous diseases. Aims: To identify biophysical and ultrasonographic properties for the differentiation of five main groups of papulosquamous skin diseases. Methods: Fifteen biophysical and ultrasonographic parameters were measured by multiprobe adapter system and high-frequency ultrasonography in active lesions and normal control skin in patients with chronic eczema, psoriasis, lichen planus, pityriasis rosea and parapsoriasis/mycosis fungoides. Using histological diagnosis as a gold standard, a decision tree analysis was performed based on the mean percentage changes of these parameters [(lesion-control/control)... 

    Global stability of a deterministic model for HIV infection in vivo

    , Article Chaos, Solitons and Fractals ; Volume 34, Issue 4 , 2007 , Pages 1225-1238 ; 09600779 (ISSN) Dehghan, M ; Nasri, M ; Razvan, M. R ; Sharif University of Technology
    2007
    Abstract
    A deterministic model for human immunodeficiency virus (denoted HIV) infection in the presence of combination therapy is considered. Global asymptotic stability of the disease-free equilibrium is discussed and the endemic equilibrium is also investigated. © 2006 Elsevier Ltd. All rights reserved  

    Formalin fumigation and steaming of various composts differentially influence the nutrient release, growth and yield of muskmelon (Cucumis melo L.)

    , Article Scientific Reports ; Volume 11, Issue 1 , 2021 ; 20452322 (ISSN) Mustafa, G ; Ali, M. A ; Smith, D. L ; Masood, S ; Qayyum, M. F ; Ahmed, N ; Rehman, A ; Ahmad, S ; Hussain, S ; Arshad, M ; Muneer, S ; Khan, A. H. A ; Fahad, S ; Datta, R ; Iqbal, M ; Schwinghamer, T. D ; Sharif University of Technology
    Nature Research  2021
    Abstract
    Nutrient disorder and presence of disease-causing agents in soilless media negatively influence the growth of muskmelon. To combat these issues, use of environmentally-friendly sanitation techniques is crucial for increased crop productivity. The study was conducted under greenhouse and field conditions to investigate the effect of two different sanitation techniques: steaming and formalin fumigation on various media’s characteristics and their impact on muskmelon yield. Media: jantar, guar, wheat straw and rice hull and peat moss of 10% air-filled porosity and sanitized with formalin and steaming. Steaming of guar, jantar, and wheat straw increased the phosphorus (P) and potassium (K)... 

    Vital role of water in longevity of SARS-CoV-2 and enhancing its binding with human cells

    , Article Journal of the Iranian Chemical Society ; 2021 ; 1735207X (ISSN) Parsafar, G ; Reddy, V ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2021
    Abstract
    Based on our present knowledge on SARS-CoV-2 virus, which is collectively summarized in this work, it is shown that water plays a crucial role in stabilizing the virus, in such a way that its viability may reduce from a few days to a few seconds in the absence of water layer. Water not only provides a protective shell for the virus in which it is enveloped, but enhances its binding with the human cell. Therefore, one may conclude that the dehydration of the hydrated virus makes it much more vulnerable, due to the fact that if it is exposed to many chemicals it will be deactivated; even by particles in air, such as ozone, singlet oxygen and pollutants. Thermodynamically, the dehydration may... 

    Transformer-based deep neural network language models for Alzheimer’s disease risk assessment from targeted speech

    , Article BMC Medical Informatics and Decision Making ; Volume 21, Issue 1 , 2021 ; 14726947 (ISSN) Roshanzamir, A ; Aghajan, H ; Soleymani Baghshah, M ; Sharif University of Technology
    BioMed Central Ltd  2021
    Abstract
    Background: We developed transformer-based deep learning models based on natural language processing for early risk assessment of Alzheimer’s disease from the picture description test. Methods: The lack of large datasets poses the most important limitation for using complex models that do not require feature engineering. Transformer-based pre-trained deep language models have recently made a large leap in NLP research and application. These models are pre-trained on available large datasets to understand natural language texts appropriately, and are shown to subsequently perform well on classification tasks with small training sets. The overall classification model is a simple classifier on... 

    Seesaw scenarios of lockdown for COVID-19 pandemic: Simulation and failure analysis

    , Article Sustainable Cities and Society ; Volume 73 , 2021 ; 22106707 (ISSN) Afshar Nadjafi, B ; Akhavan Niaki, S. T ; Sharif University of Technology
    Elsevier Ltd  2021
    Abstract
    The ongoing COVOD-19(SARS-CoV-2) outbreak has had a devastating impact on the economy, education and businesses. In this paper, the behavior of an epidemic is simulated on different contact networks. Herein, it is assumed that the infection may be transmitted at each contact from an infected person to a susceptible individual with a given probability. The probability of transmitting the disease may change due to the individuals' social behavior or interventions prescribed by the authorities. We utilized simulation on the contact networks to demonstrate how seesaw scenarios of lockdown can curb infection and level the pandemic without maximum pressure on the poor societies. Soft scenarios... 

    Seesaw scenarios of lockdown for COVID-19 pandemic: Simulation and failure analysis

    , Article Sustainable Cities and Society ; Volume 73 , 2021 ; 22106707 (ISSN) Afshar Nadjafi, B ; Akhavan Niaki, S. T ; Sharif University of Technology
    Elsevier Ltd  2021
    Abstract
    The ongoing COVOD-19(SARS-CoV-2) outbreak has had a devastating impact on the economy, education and businesses. In this paper, the behavior of an epidemic is simulated on different contact networks. Herein, it is assumed that the infection may be transmitted at each contact from an infected person to a susceptible individual with a given probability. The probability of transmitting the disease may change due to the individuals' social behavior or interventions prescribed by the authorities. We utilized simulation on the contact networks to demonstrate how seesaw scenarios of lockdown can curb infection and level the pandemic without maximum pressure on the poor societies. Soft scenarios... 

    Hearing loss prevalence and years lived with disability, 1990-2019: Findings from the Global Burden of Disease Study 2019

    , Article The Lancet ; Volume 397, Issue 10278 , 2021 , Pages 996-1009 ; 01406736 (ISSN) Haile, L. M ; Kamenov, K ; Briant, P. S ; Orji, A. U ; Steinmetz, J. D ; Abdoli, A ; Abdollahi, M ; Abu-Gharbieh, E ; Afshin, A ; Ahmed, H ; Rashid, T. A ; Akalu, Y ; Alahdab, F ; Alanezi, F. M ; Alanzi, T. M ; Al Hamad, H ; Ali, L ; Alipour, V ; Al-Raddadi, R. M ; Amu, H ; Arabloo, J ; Arab-Zozani, M ; Arulappan, J ; Ashbaugh, C ; Atnafu, D. D ; Babar, Z. U. D ; Baig, A. A ; Banik, P. C ; Bärnighausen, T. W ; Barrow, A ; Bender, R. G ; Bhagavathula, A. S ; Bhardwaj, N ; Bhardwaj, P ; Bibi, S ; Bijani, A ; Burkart, K ; Cederroth, C. R ; Charan, J ; Choudhari, S. G ; Chu, D. T ; Couto, R. A. S ; Dagnew, A. B ; Dagnew, B ; Dahlawi, S. M. A ; Dai, X ; Dandona, L ; Dandona, R ; Desalew, A ; Dhamnetiya, D ; Dhimal, M. L ; Dhimal, M ; Doyle, K. E ; Duncan, B. B ; Ekholuenetale, M ; Filip, I ; Fischer, F ; Franklin, R. C ; Gaidhane, A. M ; Gaidhane, S ; Gallus, S ; Ghamari, F ; Ghashghaee, A ; Ghozali, G ; Gilani, S.A ; Glǎvan, I. R ; Golechha, M ; Goulart, B. N. G ; Gupta, V. B ; Gupta, V. K ; Hamidi, S ; Hammond, B. R ; Hay, S. I ; Hayat, K ; Heidari, G ; Hoffman, H. J ; Hopf, K. P ; Hosseinzadeh, M ; Househ, M ; Hussain, R ; Hwang, B. F ; Iavicoli, I ; Ibitoye, S. E ; Ilesanmi, O. S ; Irvani, S. S. N ; Islam, S. M. S ; Iwagami, M ; Jacob, L ; Jayapal, S. K ; Jha, R. P ; Jonas, J. B ; Kalhor, R ; Al-Salihi, N. K ; Kandel, H ; Kasa, A. S ; Kayode, G. A ; Khalilov, R ; Khan, E. A ; Khatib, M. N ; Kosen, S ; Koyanagi, A ; Kumar, G. A ; Landires, I ; Lasrado, S ; Lim, S. S ; Liu, X ; Lobo, S. W ; Lugo, A ; Makki, A ; Mendoza, W ; Mersha, A. G ; Mihretie, K. M ; Miller, T. R ; Misra, S ; Mohamed, T. A ; Mohammadi, M ; Mohammadian Hafshejani, A ; Mohammed, A ; Mokdad, A. H ; Moni, M. A ; Kandel, S. N ; Nguyen, H. L. T ; Nixon, M. R ; Noubiap, J. J ; Nuñez Samudio, V ; Oancea, B ; Oguoma, V. M ; Olagunju, A. T ; Olusanya, B. O ; Olusanya, J. O ; Orru, H ; Owolabi, M. O ; Padubidri, J. R ; Pakshir, K ; Pardhan, S ; Kan, F. P ; Pasovic, M ; Pawar, S ; Pham, H. Q ; Pinheiro, M ; Pourshams, A ; Rabiee, N ; Rabiee, M ; Radfar, A ; Rahim, F ; Rahimi Movaghar, V ; Ur Rahman, M. H ; Rahman, M ; Rahmani, A. M ; Rana, J ; Rao, C. R ; Rao, S. J ; Rashedi, V ; Rawaf, D. L ; Rawaf, S ; Renzaho, A. M. N ; Rezapour, A ; Ripon, R. K ; Rodrigues, V ; Rustagi, N ; Saeed, U ; Sahebkar, A ; Samy, A. M ; Santric-Milicevic, M. M ; Sathian, B ; Satpathy, M ; Sawhney, M ; Schlee, W ; Schmidt, M. I ; Seylani, A ; Shaikh, M. A ; Shannawaz, M ; Shiferaw, W. S ; Siabani, S ; Singal, A ; Singh, J. A ; Singh, J. K ; Singhal, D ; Skryabin, V. Y ; Skryabina, A. A ; Sotoudeh, H ; Spurlock, E. E ; Taddele, B. W ; Tamiru, A. T ; Tareque, M. I ; Thapar, R ; Tovani-Palone, M. R ; Tran, B.X ; Ullah, S ; Tahbaz, S. V ; Violante, F. S ; Vlassov, V ; Vo, B ; Vongpradith, A ; Vu, G. T ; Wei, J ; Yadollahpour, A ; Jabbari, S. H. Y ; Yeshaw, Y ; Yiǧit, V ; Yirdaw, B. W ; Yonemoto, N ; Yu, C ; Yunusa, I ; Zamani, M ; Zastrozhin, M. S ; Zastrozhina, A ; Zhang, Z. J ; Zhao, J. T ; Murray, C. J. L ; Davis, A. C ; Vos, T ; Chadha, S ; Sharif University of Technology
    Elsevier B.V  2021
    Abstract
    Background: Hearing loss affects access to spoken language, which can affect cognition and development, and can negatively affect social wellbeing. We present updated estimates from the Global Burden of Disease (GBD) study on the prevalence of hearing loss in 2019, as well as the condition's associated disability. Methods: We did systematic reviews of population-representative surveys on hearing loss prevalence from 1990 to 2019. We fitted nested meta-regression models for severity-specific prevalence, accounting for hearing aid coverage, cause, and the presence of tinnitus. We also forecasted the prevalence of hearing loss until 2050. Findings: An estimated 1·57 billion (95% uncertainty... 

    Vital role of water in longevity of SARS-CoV-2 and enhancing its binding with human cells

    , Article Journal of the Iranian Chemical Society ; Volume 19, Issue 1 , 2022 , Pages 203-210 ; 1735207X (ISSN) Parsafar, G ; Reddy, V ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2022
    Abstract
    Based on our present knowledge on SARS-CoV-2 virus, which is collectively summarized in this work, it is shown that water plays a crucial role in stabilizing the virus, in such a way that its viability may reduce from a few days to a few seconds in the absence of water layer. Water not only provides a protective shell for the virus in which it is enveloped, but enhances its binding with the human cell. Therefore, one may conclude that the dehydration of the hydrated virus makes it much more vulnerable, due to the fact that if it is exposed to many chemicals it will be deactivated; even by particles in air, such as ozone, singlet oxygen and pollutants. Thermodynamically, the dehydration may... 

    Discrimination between different degrees of coronary artery disease using time-domain features of the finger photoplethysmogram in response to reactive hyperemia

    , Article Biomedical Signal Processing and Control ; Volume 18 , 2015 , Pages 282-292 ; 17468094 (ISSN) Hosseini, Z. S ; Zahedi, E ; Movahedian Attar, H ; Fakhrzadeh, H ; Parsafar, M. H ; Sharif University of Technology
    Elsevier Ltd  2015
    Abstract
    Atherosclerosis is a major cause of coronary artery disease leading to morbidity and mortality worldwide. Currently, coronary angiography is considered to be the most accurate technique to diagnose coronary artery disease (CAD). However, this technique is an invasive and expensive procedure with risks of serious complications. Since the symptoms of CAD are not noticed until advanced stages of the disease, early and effective diagnosis of CAD is considered a pertinent measure. In this paper, a non-invasive optical signal, the finger photoplethysmogram (PPG) obtained before and after reactive hyperemia is investigated to discriminate between subjects with different CAD conditions. To this end,... 

    Five insights from the Global Burden of Disease Study 2019

    , Article The Lancet ; Volume 396, Issue 10258 , 2020 , Pages 1135-1159 Abbafati, C ; Machado, D. B ; Cislaghi, B ; Salman, O. M ; Karanikolos, M ; McKee, M ; Abbas, K. M ; Brady, O. J ; Larson, H. J ; Trias-Llimós, S ; Cummins, S ; Langan, S.M ; Sartorius, B ; Hafiz, A ; Jenabi, E ; Mohammad Gholi Mezerji, N ; Borzouei, S ; Azarian, G ; Khazaei, S ; Abbasi, M ; Asghari, B ; Masoumi, S ; Komaki, H ; Taherkhani, A ; Adabi, M ; Abbasifard, M ; Bazmandegan, G ; Kamiab, Z ; Vakilian, A ; Anjomshoa, M ; Mokari, A ; Sabour, S ; Shahbaz, M ; Saeedi, R ; Ahmadieh, H ; Yousefinezhadi, T ; Haj-Mirzaian, A ; Nikbakhsh, R ; Safi, S ; Asgari, S ; Irvani, S.N ; Jahanmehr, N ; Ramezanzadeh, K ; Abbasi-Kangevari, M ; Khayamzadeh, M ; Abbastabar, H ; Shirkoohi, R ; Fazlzadeh, M ; Janjani, H ; Hosseini, M ; Mansournia, M ; Tohidinik, H ; Bakhtiari, A ; Fazaeli, A ; Mousavi, S ; Hasanzadeh, A ; Nabavizadeh, B ; Malekzadeh, R ; Hashemian, M ; Pourshams, A ; Salimzadeh, H ; Sepanlou, S. G ; Afarideh, M ; Esteghamati, A ; Esteghamati, S ; Ghajar, A ; Heidari, B ; Rezaei, N ; Mohamadi, E ; Rahimi-Movaghar, A ; Rahim, F ; Eskandarieh, S ; Sahraian, M ; Mohebi, F ; Aminorroaya, A ; Ebrahimi, H ; Farzadfar, F ; Mohajer, B ; Pishgar, F ; Saeedi Moghaddam, S ; Shabani, M ; Zarafshan, H ; Abolhassani, H ; Hafezi Nejad, N ; Heidari Soureshjani, R ; Abdollahi, M ; Farahmand, M ; Salamati, P ; Mehrabi Nasab, E ; Tajdini, M ; Aghamir, S ; Mirzaei, R ; Dibaji Forooshani, Z ; Khater, M. M ; Abd-Allah, F ; Abdelalim, A ; Abualhasan, A ; El-Jaafary, S. I ; Hassan, A ; Elsharkawy, A ; Khater, A. M ; Elhabashy, H. R ; Salem, M. R. R ; Salem, H ; Sadeghi, M ; Jafarinia, M ; Amini-Rarani, M ; Mohammadifard, N ; Sarrafzadegan, N ; Abdollahpour, I ; Sarveazad, A ; Tehrani Banihashemi, A ; Yoosefi Lebni, J ; Manafi, N ; Pazoki Toroudi, H ; Dorostkar, F ; Alipour, V ; Sheikhtaheri, A ; Arabloo, J ; Azari, S ; Ghashghaee, A ; Rezapour, A ; Naserbakht, M ; Kabir, A ; Mehri, F ; Yousefifard, M ; Asadi Aliabadi, M ; Babaee, E ; Eshrati, B ; Goharinezhad, S ; Moradi Lakeh, M ; Abedi, P ; Rashedi, V ; Kumar, V ; Elgendy, I. Y ; Basu, S ; Park, J ; Pereira, A ; Norheim, O. F ; Eagan, A. W ; Cahill, L. E ; Sheikh, A ; Abushouk, A. I ; Kraemer, M. U. G ; Thakur, B ; Bärnighausen, T. W ; Shrime, M. G ; Abedi, A ; Doshi, C. P ; Abegaz, K. H ; Geberemariyam, B. S ; Aynalem, Y. A ; Shiferaw, W. S ; Abosetugn, A. E ; Aboyans, V ; Abrams, E. M ; Gitimoghaddam, M ; Kissoon, N ; Stubbs, J. L ; Brauer, M ; Iyamu, I. O ; Kopec, J. A ; Pourmalek, F ; Ribeiro, A. P ; Malta, D. C ; Gomez, R. S ; Abreu, L. G ; Abrigo, M. R. M ; Almulhim, A. M ; Dahlawi, S. M. A ; Pottoo, F. H ; Menezes, R. G ; Alanzi, T. M ; Alumran, A. K ; Abu Haimed, A. K ; Madadin, M ; Alanezi, F. M ; Abu-Gharbieh, E ; Saddik, B ; Abu Raddad, L. J ; Samy, A. M ; El Nahas, N ; Shalash, A. S ; Nabhan, A. F ; Kamath, A. M ; Kassebaum, N. J ; Aravkin, A. Y ; Kochhar, S ; Sorensen, R. J. D ; Afshin, A ; Burkart, K ; Cromwell, E. A ; Dandona, L ; Dharmaratne, S. D ; Gakidou, E ; Hay, S. I ; Kyu, H. H ; Lopez, A. D ; Lozano, R ; Misganaw, A. T ; Mokdad, A. H ; Naghavi, M ; Pigott, D. M ; Reiner Jr, R. C ; Roth, G. A ; Stanaway, J. D ; Vollset, S ; Vos, T ; Wang, H ; Lim, S. S ; Murray, C. J. L ; Kalani, R ; Ikuta, K. S ; Cho, D. Y ; Kneib, C. J ; Crowe, C. S ; Massenburg, B. B ; Morrison, S. D ; Acebedo, A ; Adelson, J. D ; Agesa, K. M ; Alam, T ; Albertson, S. B ; Anderson, J. A ; Antony, C. M ; Ashbaugh, C ; Assmus, M ; Azhar, G ; Balassyano, S ; Bannick, M. S ; Barthelemy, C. M ; Bender, R. G ; Bennitt, F. B ; Bertolacci, G. J ; Biehl, M. H ; Bisignano, C ; Boon Dooley, A. S ; Briant, P. S ; Bryazka, D ; Bumgarner, B. R ; Callender, C. S ; Cao, J ; Castle, C. D ; Castro, E ; Causey, K ; Cercy, K. M ; Chalek, J ; Charlson, F. J ; Cohen, A. J ; Comfort, H ; Compton, K ; Croneberger, A. J ; Cruz, J. A ; Cunningham, M ; Dandona, R ; Dangel, W. J ; Dean, F. E ; DeCleene, N. K ; Deen, A ; Degenhardt, L ; Dingels, Z. V ; Dippenaar, I. N ; Dirac, M. A ; Dolgert, A. J ; Emmons Bell, S ; Estep, K ; Farag, T ; Feigin, V. L ; Feldman, R ; Ferrara, G ; Ferrari, A. J ; Fitzgerald, R ; Force, L. M ; Fox, J. T ; Frank, T. D ; Fu, W ; Fukutaki, K ; Fuller, J. E ; Fullman, N ; Galles, N. C ; Gardner, W. M ; Gershberg Hayoon, A ; Goren, E ; Gorman, T. M ; Gottlich, H. C ; Guo, G ; Haddock, B ; Hagins, H ; Haile, L. M ; Hamilton, E. B ; Han, C ; Han, H ; Harvey, J. D ; Henny, K ; Henrikson, H. J ; Henry, N. J ; Herbert, M. E ; Hsiao, T ; Huynh, C. K ; Iannucci, V. C ; Ippolito, H ; Irvine, C. M. S ; Jafari, H ; Jahagirdar, D ; James, S. L ; Johnson, C. O ; Johnson, S.C ; Keller, C ; Kemmer, L ; Kendrick, P. J ; Knight, M ; Kocarnik, J. M ; Krohn, K. J ; Larson, S. L ; Lau, K. M ; Ledesma, J. R ; Leever, A. T ; LeGrand, K. E ; Lescinsky, H ; Lin, C ; Liu, H ; Liu, Z ; Lo, J ; Lu, A ; Ma, J ; Maddison, E. R ; Manguerra, H ; Marks, A ; Martopullo, I ; Mastrogiacomo, C. I ; May, E. A ; Mooney, M. D ; Mosser, J. F ; Mullany, E. C ; Mumford, J ; Munro, S. B ; Nandakumar, V ; Nguyen, J ; Nguyen, M ; Nichols, E ; Nixon, M. R ; Odell, C. M ; Ong, K. L ; Orji, A. U ; Ostroff, S. M ; Pasovic, M ; Paulson, K. R ; Pease, S. A ; Pennini, A ; Pierce, M ; Pilz, T. M ; Pletcher, M ; Rao, P. C ; Razo, C ; Redford, S. B ; Reinig, N ; Reitsma, M. B ; Rhinehart, P ; Robalik, T ; Roberts, S ; Roberts, N. L. S ; Rolfe, S ; Sbarra, A. N ; Schaeffer, L. E ; Shackelford, K. A ; Shadid, J ; Sharara, F ; Shaw, D. H ; Sheena, B. S ; Simpson, K. E ; Smith, A ; Spencer, C. N ; Spurlock, E. E ; Stark, B. A ; Steiner, C ; Steuben, K. M ; Sylte, D. O ; Tang, M ; Taylor, H. J ; Terrason, S ; Thomson, A. M ; Torre, A. E ; Travillian, R ; Troeger, C. E ; Vongpradith, A ; Walters, M. K ; Wang, J ; Watson, A ; Watson, S ; Whisnant, J. L ; Whiteford, H. A ; Wiens, K. E ; Wilner, L. B ; Wilson, S ; Wool, E. E ; Wozniak, S. S ; Wu, J ; Wulf Hanson, S ; Wunrow, H ; Xu, R ; Sharif University of Technology
    Lancet Publishing Group  2020
    Abstract
    The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a rules-based synthesis of the available evidence on levels and trends in health outcomes, a diverse set of risk factors, and health system responses. GBD 2019 covered 204 countries and territories, as well as first administrative level disaggregations for 22 countries, from 1990 to 2019. Because GBD is highly standardised and comprehensive, spanning both fatal and non-fatal outcomes, and uses a mutually exclusive and collectively exhaustive list of hierarchical disease and injury causes, the study provides a powerful basis for detailed and broad insights on global health trends and emerging challenges. GBD... 

    Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm

    , Article Computer Methods and Programs in Biomedicine ; Volume 141 , 2017 , Pages 19-26 ; 01692607 (ISSN) Arabasadi, Z ; Alizadehsani, R ; Roshanzamir, M ; Moosaei, H ; Yarifard, A. A ; Sharif University of Technology
    Elsevier Ireland Ltd  2017
    Abstract
    Cardiovascular disease is one of the most rampant causes of death around the world and was deemed as a major illness in Middle and Old ages. Coronary artery disease, in particular, is a widespread cardiovascular malady entailing high mortality rates. Angiography is, more often than not, regarded as the best method for the diagnosis of coronary artery disease; on the other hand, it is associated with high costs and major side effects. Much research has, therefore, been conducted using machine learning and data mining so as to seek alternative modalities. Accordingly, we herein propose a highly accurate hybrid method for the diagnosis of coronary artery disease. As a matter of fact, the... 

    An Improved Clustering Method of Data Mining in Healthcare and Its Implementation

    , M.Sc. Thesis Sharif University of Technology Shourabizadeh, Hamed (Author) ; Akhavan Niaki, Taghi (Supervisor)
    Abstract
    In this study, a brief definition of data mining and its variants were mentioned. Then the methods and algorithms for clustering and their application in the field of healthcare is studied. Concidering the available data for anemia disease, including numeric and categorical attributes, the k-medoids clustering algorithm was selected. This algorithm is one of the simple, powerful and most widely used methods for clustering. The drawbacks of this algorithm are as follow: requires a user input on the number of clusters, depends on the initial data and traps in the local optima. In this thesis, an improved method of clustering-based on Random Forest and k-medoids algorithms has been developed.... 

    Diagnosis of Heart Disease Using Data Mining

    , M.Sc. Thesis Sharif University of Technology Alizadeh Sani, Roohallah (Author) ; Habibi, Jafar (Supervisor)
    Abstract
    Cardiovascular diseases are very common nowadays and are one of the main reasons of death. Being among the major types of these diseases, correct and in time diagnosis of Coronary Artery Disease (CAD) is very important. The best and most accurate CAD diagnosis method by now is recognized as Angiography, which has many side effects and is costly. Thus researchers are seeking for inexpensive, though still accurate, methods. Existing studies have used several features in collecting data from patients, while applying different data mining algorithms to increase accuracy. In this thesis, a data set is introduced which utilizes several new and effective features for CAD diagnosis, as well as a... 

    The Differential Diagnosis of Crohn's Disease and Celiac Disease Using Nuclear Magnetic Resonance Spectroscopy

    , Article Applied Magnetic Resonance ; Volume 45, Issue 5 , May , 2014 , Pages 451-459 Fathi, F ; Kasmaee, L. M ; Sohrabzadeh, K ; Nejad, M. R ; Tafazzoli, M ; Oskouie, A. A ; Sharif University of Technology
    Abstract
    Crohn's disease and celiac disease belong to a group of autoimmune conditions that affect the digestive system, specifically the small intestine. They both attack the digestive tract and share many symptoms. Thus, the discovery of proper methods would be a major step toward differentiating celiac disease from Crohn's disease. The aim of this study was to search for the metabolic biomarkers to differentiate between these two diseases. Proton nuclear magnetic resonance spectroscopy (1H NMR) was employed as the metabolic profiling method to look for serum metabolites that differentiate between celiac disease and Crohn's disease. Classification of celiac disease and Crohn's disease was done... 

    Relationship between serum level of selenium and metabolites using 1hnmr-based metabonomics in parkinson's disease

    , Article Applied Magnetic Resonance ; Volume 44, Issue 6 , January , 2013 , Pages 721-734 ; 09379347 (ISSN) Fathi, F ; Kyani, A ; Darvizeh, F ; Mehrpour, M ; Tafazzoli, M ; Shahidi, G ; Sharif University of Technology
    2013
    Abstract
    Parkinson's disease (PD) is a neurodegenerative disease, which is not easily diagnosed using clinical tests and the discovery of proper methods would be a major step towards a successful diagnosis. In the present study, we employed metabolic profiling using proton nuclear magnetic resonance spectroscopy to find metabolites in serum, which are helpful for the diagnosis of PD. Classification of PD and healthy subject was done using random forest. Serum levels of selenium measured by atomic absorption spectrometry in PD group were lower than the serum selenium levels in the control group. The metabolites causing selenium changes in PD patients were identified using random forest, and a model... 

    The concentration of serum zinc in celiac patients compared to healthy subjects in tehran

    , Article Gastroenterology and Hepatology from Bed to Bench ; Volume 6, Issue 2 , 2013 , Pages 92-95 ; 20082258 (ISSN) Fathi, F ; Ektefa, F ; Tafazzoli, M ; Rostami, K ; Nejad, M. R ; Fathi, M ; Rezaye Tavirani, M ; Oskouie, A. A ; Zali, M. R ; Sharif University of Technology
    2013
    Abstract
    Aim: This study evaluated serum levels of zinc in patient with CD compare to healthy subjects. Background: Celiac disease (CD) is characterized by small intestinal malabsorption of nutrients as a consequence of ingestion of wheat gluten. Zinc is an essential trace element that it has vital biological functions. Patients and methods: Sera of 30 celiac cases and 30 healthy normal cohorts as control group were obtained. Atomic absorption spectrophotometer was employed for estimating serum zinc level. Results: Zinc concentrations in patients diagnosed with CD were significantly lower than healthy subjects (75.97±12 compared with 92.83±18, P-value < 0.0001). Conclusion: The result of this study... 

    Diagnosis of coronary artery disease using cost-sensitive algorithms

    , Article Proceedings - 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012 ; 2012 , Pages 9-16 ; 9780769549255 (ISBN) Alizadehsani, R ; Hosseini, M. J ; Sani, Z. A ; Ghandeharioun, A ; Boghrati, R ; Sharif University of Technology
    2012
    Abstract
    One of the main causes of death the world over are cardiovascular diseases, of which coronary artery disease (CAD) is a major type. This disease occurs when the diameter narrowing of one of the left anterior descending, left circumflex, or right coronary arteries is equal to or greater than 50 percent. Angiography is the principal diagnostic modality for the stenosis of heart vessels; however, because of its complications and costs, researchers are looking for alternative methods such as data mining. This study conducts data mining algorithms on the Z-Alizadeh Sani dataset which has been collected from 303 random visitors to Tehran's Shaheed Rajaei Cardiovascular, Medical and Research...