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    Automatic skin cancer (melanoma) detection by processing dermatoscopic images

    , Article 1st International Conference on Machine Vision and Image Processing, MVIP 2020, 19 February 2020 through 20 February 2020 ; Volume 2020-February , 2020 Moazen, H ; Jamzad, M ; Sharif University of Technology
    IEEE Computer Society  2020
    Abstract
    Melanoma is the deadliest form of skin cancer if not treated early. The best way to cure melanoma is to treat it in its earliest stage of development. Since melanoma is similar to benign moles in its shape and appearance, it is often mistaken for moles and left untreated. Automatic melanoma detection is an essential way to increase the survival rate of patients by detecting melanoma in its early stages. In this paper, a new method for automatic diagnosis of melanoma using segmented dermatoscopic images is provided. Almost all related methods follow similar approaches but using different features. We have introduced several new features which could improve the accuracy of diagnosing melanoma.... 

    Virotheranostics, a double-barreled viral gun pointed toward cancer; Ready to shoot?

    , Article Cancer Cell International ; Volume 20, Issue 1 , 2020 Keshavarz, M ; Sabbaghi, A ; Miri, S. M ; Rezaeyan, A ; Arjeini, Y ; Ghaemi, A ; Sharif University of Technology
    BioMed Central Ltd  2020
    Abstract
    Compared with conventional cancer treatments, the main advantage of oncolytic virotherapy is its tumor-selective replication followed by the destruction of malignant cells without damaging healthy cells. Accordingly, this kind of biological therapy can potentially be used as a promising approach in the field of cancer management. Given the failure of traditional monitoring strategies (such as immunohistochemical analysis (in providing sufficient safety and efficacy necessary for virotherapy and continual pharmacologic monitoring to track pharmacokinetics in real-time, the development of alternative strategies for ongoing monitoring of oncolytic treatment in a live animal model seems... 

    The global, regional, and national burden of inflammatory bowel disease in 195 countries and territories, 1990–2017: a systematic analysis for the global burden of disease study 2017

    , Article The Lancet Gastroenterology and Hepatology ; Volume 5, Issue 1 , 2020 , Pages 17-30 Alatab, S ; Sepanlou, S. G ; Ikuta, K ; Vahedi, H ; Bisignano, C ; Safiri, S ; Sadeghi, A ; Nixon, M. R ; Abdoli, A ; Abolhassani, H ; Alipour, V ; Almadi, M. A. H ; Almasi Hashiani, A ; Anushiravani, A ; Arabloo, J ; Atique, S ; Awasthi, A ; Badawi, A ; Baig, A. A. A ; Bhala, N ; Bijani, A ; Biondi, A ; Borzì, A. M ; Burke, K. E ; Carvalho, F ; Daryani, A ; Dubey, M ; Eftekhari, A ; Fernandes, E ; Fernandes, J. C ; Fischer, F ; Haj Mirzaian, A ; Hasanzadeh, A ; Hashemian, M ; Hay, S. I ; Hoang, C. L ; Househ, M ; Ilesanmi, O. S ; Balalami, N. J ; James, S. L ; Kengne, A. P ; Malekzadeh, M. M ; Merat, S ; Meretoja, T. J ; Mestrovic, T ; Mirrakhimov, E. M ; Mirzaei, H ; Mohammad, K. A ; Mokdad, A. H ; Monasta, L ; Negoi, I ; Nguyen, T. H ; Nguyen, C. T ; Pourshams, A ; Poustchi, H ; Rabiee, M ; Rabiee, N ; Ramezanzadeh, K ; Rawaf, D. L ; Rawaf, S ; Rezaei, N ; Robinson, S. R ; Ronfani, L ; Saxena, S ; Sepehrimanesh, M ; Shaikh, M. A ; Sharafi, Z ; Sharif, M ; Siabani, S ; Sima, A. R ; Singh, J. A ; Soheili, A ; Sotoudehmanesh, R ; Suleria, H. A. R ; Tesfay, B. E ; Tran, B ; Tsoi, D ; Vacante, M ; Wondmieneh, A. B ; Zarghi, A ; Zhang, Z. J ; Dirac, M ; Malekzadeh, R ; Naghavi, M ; GBD 2017 Inflammatory Bowel Disease Collaborators ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    Background: The burden of inflammatory bowel disease (IBD) is rising globally, with substantial variation in levels and trends of disease in different countries and regions. Understanding these geographical differences is crucial for formulating effective strategies for preventing and treating IBD. We report the prevalence, mortality, and overall burden of IBD in 195 countries and territories between 1990 and 2017, based on data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017. Methods: We modelled mortality due to IBD using a standard Cause of Death Ensemble model including data mainly from vital registrations. To estimate the non-fatal burden, we used data... 

    Formulation and characterization of poly (ethylene glycol)-coated core-shell methionine magnetic nanoparticles as a carrier for naproxen delivery: growth inhibition of cancer cells

    , Article Cancers ; Volume 14, Issue 7 , 2022 ; 20726694 (ISSN) Yeganeh, F. E ; Yeganeh, A. E ; Yousefi, M ; Far, B. F ; Akbarzadeh, I ; Bokov, D. O ; Raahemifar, K ; Soltani, M ; Sharif University of Technology
    MDPI  2022
    Abstract
    An efficient and selective drug delivery vehicle for cancer cells can remarkably improve therapeutic approaches. In this study, we focused on the synthesis and characterization of magnetic Ni1−x Cox Fe2 O4 nanoparticles (NPs) coated with two layers of methionine and polyethylene glycol to increase the loading capacity and lower toxicity to serve as an efficient drug car-rier. Ni1−x Cox Fe2 O4 @Methionine@PEG NPs were synthesized by a reflux method then charac-terized by FTIR, XRD, FESEM, TEM, and VSM. Naproxen was used as a model drug and its loading and release in the vehicles were evaluated. The results for loading efficiency showed 1 mg of Ni1−x Cox Fe2 O4 @Methionine@PEG NPs could load... 

    Optimization, physicochemical characterization, and antimicrobial activity of a novel simvastatin nano-niosomal gel against E. coli and S. aureus

    , Article Chemistry and Physics of Lipids ; Volume 234 , 2021 ; 00093084 (ISSN) Akbarzadeh, I ; Keramati, M ; Azadi, A ; Afzali, E ; Shahbazi, R ; chiani, M ; Norouzian, D ; Bakhshandeh, H ; Sharif University of Technology
    Elsevier Ireland Ltd  2021
    Abstract
    Niosomes, as a kind of drug delivery system, is widely used for the topical delivery of lipophilic drugs. Optimization of niosomes plays an essential role in enhancing their therapeutic efficiencies. This study aims to prepare an optimized niosomal formulation of simvastatin (nSIM), a lipophilic member of statins, through the experiment (Response Surface methodology). Optimized niosomes were characterized in size, polydispersity index (PDI), entrapment efficiency (EE), stability, releasing pattern, and antimicrobial activity. The different molar ratio of surfactant and cholesterol were applied to prepare various formulation of simvastatin loaded niosome. Mean particle size and size... 

    Optimization, physicochemical characterization, and antimicrobial activity of a novel simvastatin nano-niosomal gel against E. coli and S. aureus

    , Article Chemistry and Physics of Lipids ; Volume 234 , 2021 ; 00093084 (ISSN) Akbarzadeh, I ; Keramati, M ; Azadi, A ; Afzali, E ; Shahbazi, R ; chiani, M ; Norouzian, D ; Bakhshandeh, H ; Sharif University of Technology
    Elsevier Ireland Ltd  2021
    Abstract
    Niosomes, as a kind of drug delivery system, is widely used for the topical delivery of lipophilic drugs. Optimization of niosomes plays an essential role in enhancing their therapeutic efficiencies. This study aims to prepare an optimized niosomal formulation of simvastatin (nSIM), a lipophilic member of statins, through the experiment (Response Surface methodology). Optimized niosomes were characterized in size, polydispersity index (PDI), entrapment efficiency (EE), stability, releasing pattern, and antimicrobial activity. The different molar ratio of surfactant and cholesterol were applied to prepare various formulation of simvastatin loaded niosome. Mean particle size and size... 

    An integrated analysis to predict micro-RNAs targeting both stemness and metastasis in breast cancer stem cells

    , Article Journal of Cellular and Molecular Medicine ; Volume 23, Issue 4 , 2019 , Pages 2442-2456 ; 15821838 (ISSN) Rahimi, M ; Sharifi Zarchi, A ; Firouzi, J ; Azimi, M ; Zarghami, N ; Alizadeh, E ; Ebrahimi, M ; Sharif University of Technology
    Blackwell Publishing Inc  2019
    Abstract
    Several evidences support the idea that a small population of tumour cells representing self-renewal potential are involved in initiation, maintenance, metastasis, and outcomes of cancer therapy. Elucidation of microRNAs/genes regulatory networks activated in cancer stem cells (CSCs) is necessary for the identification of new targets for cancer therapy. The aim of the present study was to predict the miRNAs pattern, which can target both metastasis and self-renewal pathways using integration of literature and data mining. For this purpose, mammospheres derived from MCF-7, MDA-MB231, and MDA-MB468 were used as breast CSCs model. They had higher migration, invasion, and colony formation...