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    A multi-scale model for determining the effects of pathophysiology and metabolic disorders on tumor growth

    , Article Scientific Reports ; Volume 10, Issue 1 , 20 February , 2020 Nikmaneshi, M. R ; Firoozabadi, B ; Mozafari, A ; Munn, L. L ; Sharif University of Technology
    Nature Research  2020
    Abstract
    The search for efficient chemotherapy drugs and other anti-cancer treatments would benefit from a deeper understanding of the tumor microenvironment (TME) and its role in tumor progression. Because in vivo experimental methods are unable to isolate or control individual factors of the TME and in vitro models often do not include all the contributing factors, some questions are best addressed with systems biology mathematical models. In this work, we present a new fully-coupled, agent-based, multi-scale mathematical model of tumor growth, angiogenesis and metabolism that includes important aspects of the TME spanning subcellular-, cellular- and tissue-level scales. The mathematical model is... 

    Identifying brain functional connectivity alterations during different stages of Alzheimer’s disease

    , Article International Journal of Neuroscience ; Volume 132, Issue 10 , 2022 , Pages 1005-1013 ; 00207454 (ISSN) Ahmadi, H ; Fatemizadeh, E ; Motie Nasrabadi, A ; Sharif University of Technology
    Taylor and Francis Ltd  2022
    Abstract
    Purpose: Alzheimer's disease (AD) starts years before its signs and symptoms including the dementia become apparent. Diagnosis of the AD in the early stages is important to reduce the speed of brain decline. Aim of the study: Identifying the alterations in the functional connectivity of the brain during the disease stages is among the main important issues in this regard. Therefore, in this study, the changes in the functional connectivity during the AD stages were analyzed. Materials and methods: By employing the functional magnetic resonance imaging (fMRI) data and graph theory, weighted undirected graphs of the whole-brain and default mode network (DMN) network were investigated... 

    Iran in transition

    , Article The Lancet ; Volume 393, Issue 10184 , 2019 , Pages 1984-2005 ; 01406736 (ISSN) Danaei, G ; Farzadfar, F ; Kelishadi, R ; Rashidian, A ; Rouhani, O. M ; Ahmadnia, S ; Ahmadvand, A ; Arabi, M ; Ardalan, A ; Arhami, M ; Azizi, M. H ; Bahadori, M ; Baumgartner, J ; Beheshtian, A ; Djalalinia, S ; Doshmangir, L ; Haghdoost, A. A ; Haghshenas, R ; Hosseinpoor, A. R ; Islami, F ; Kamangar, F ; Khalili, D ; Madani, K ; Masoumi Asl, H ; Mazyaki, A ; Mirchi, A ; Moradi, E ; Nayernouri, T ; Niemeier, D ; Houshang Omidvari, A ; Peykari, N ; Pishgar, F ; Qorbani, M ; Rahimi, K ; Rahimi Movaghar, A ; Ramezani Tehrani, F ; Rezaei, N ; Shahraz, S ; Takian, A ; Tootee, A ; Ezzati, M ; Jamshidi, H. R ; Larijani, B ; Majdzadeh, R ; Malekzadeh, R ; Sharif University of Technology
    Lancet Publishing Group  2019
    Abstract
    Being the second-largest country in the Middle East, Iran has a long history of civilisation during which several dynasties have been overthrown and established and health-related structures have been reorganised. Iran has had the replacement of traditional practices with modern medical treatments, emergence of multiple pioneer scientists and physicians with great contributions to the advancement of science, environmental and ecological changes in addition to large-scale natural disasters, epidemics of multiple communicable diseases, and the shift towards non-communicable diseases in recent decades. Given the lessons learnt from political instabilities in the past centuries and the... 

    Role of Thigh Muscle Changes in Knee Osteoarthritis Outcomes: Osteoarthritis Initiative Data

    , Article Radiology ; Volume 305, Issue 1 , 2022 , Pages 169-178 ; 00338419 (ISSN) Mohajer, B ; Dolatshahi, M ; Moradi, K ; Najafzadeh, N ; Eng, J ; Zikria, B ; Wan, M ; Cao, X ; Roemer, F. W ; Guermazi, A ; Demehri, S ; Sharif University of Technology
    Radiological Society of North America Inc  2022
    Abstract
    Background: Longitudinal data on the association of quantitative thigh muscle MRI markers with knee osteoarthritis (KOA) outcomes are scarce. These associations are of clinical importance, with potential use for thigh muscle–directed disease-modifying interventions. Purpose: To measure KOA-associated longitudinal changes in MRI-derived muscle cross-sectional area (CSA) and adipose tissue and their association with downstream symptom worsening and knee replacement (KR). Materials and Methods: In a secondary analysis of the Osteoarthritis Initiative multicenter prospective cohort (February 2004 through October 2015), knees of participants with available good-quality thigh MRI scans at baseline...