Displaying publications 21 - 25 of 25 in total

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  1. Dabbagh A, Abdullah BJ, Abdullah H, Hamdi M, Kasim NH
    J Pharm Sci, 2015 Aug;104(8):2414-28.
    PMID: 26073304 DOI: 10.1002/jps.24536
    Nanoparticle-based hyperthermia is an effective therapeutic approach that allows time- and site-specific treatment with minimized off-site effects. The recent advances in materials science have led to design a diversity of thermosensitive nanostructures that exhibit different mechanisms of thermal response to the external stimuli. This article aims to provide an extensive review of the various triggering mechanisms in the nanostructures used as adjuvants to hyperthermia modalities. Understanding the differences between various mechanisms of thermal response in these nanostructures could help researchers in the selection of appropriate materials for each experimental and clinical condition as well as to address the current shortcomings of these mechanisms with improved material design.
  2. Koloor SSR, Rahimian-Koloor SM, Karimzadeh A, Hamdi M, Petrů M, Tamin MN
    Polymers (Basel), 2019 Sep 02;11(9).
    PMID: 31480660 DOI: 10.3390/polym11091435
    The mechanical behavior of graphene/polymer interfaces in the graphene-reinforced epoxy nanocomposite is one of the factors that dictates the deformation and damage response of the nanocomposites. In this study, hybrid molecular dynamic (MD) and finite element (FE) simulations of a graphene/polymer nanocomposite are developed to characterize the elastic-damage behavior of graphene/polymer interfaces under a tensile separation condition. The MD results show that the graphene/epoxy interface behaves in the form of elastic-softening exponential regressive law. The FE results verify the adequacy of the cohesive zone model in accurate prediction of the interface damage behavior. The graphene/epoxy cohesive interface is characterized by normal stiffness, tensile strength, and fracture energy of 5 × 10-8 (aPa·nm-1), 9.75 × 10-10 (nm), 2.1 × 10-10 (N·nm-1) respectively, that is followed by an exponential regressive law with the exponent, α = 7.74. It is shown that the commonly assumed bilinear softening law of the cohesive interface could lead up to 55% error in the predicted separation of the interface.
  3. Mehbodniya A, Moghavvemi M, Narayanan V, Muthusamy KA, Hamdi M, Waran V
    World Neurosurg, 2020 Feb;134:e379-e386.
    PMID: 31639505 DOI: 10.1016/j.wneu.2019.10.080
    OBJECTIVES: The evaluation of sources of error when preparing, printing, and using 3-dimensional (3D) printed head models for training purposes.

    METHODS: Two 3D printed models were designed and fabricated using actual patient imaging data with reference marker points embedded artificially within these models that were then registered to a surgical navigation system using 3 different methods. The first method uses a conventional manual registration, using the actual patient's imaging data. The second method is done by directly scanning the created model using intraoperative computed tomography followed by registering the model to a new imaging dataset manually. The third is similar to the second method of scanning the model but eventually uses an automatic registration technique. The errors for each experiment were then calculated based on the distance of the surgical navigation probe from the respective positions of the embedded marker points.

    RESULTS: Errors were found in the preparation and printing techniques, largely depending on the orientation of the printed segment and postprocessing, but these were relatively small. Larger errors were noted based on a couple of variables: if the models were registered using the original patient imaging data as opposed to using the imaging data from directly scanning the model (1.28 mm vs. 1.082 mm), and the accuracy was best using the automated registration techniques (0.74 mm).

    CONCLUSION: Spatial accuracy errors occur consistently in every 3D fabricated model. These errors are derived from the fabrication process, the image registration process, and the surgical process of registration.

  4. Htwe TT, Hamdi MM, Swethadri GK, Wong JO, Soe MM, Abdullah MS
    Singapore Med J, 2009 Jul;50(7):724-8.
    PMID: 19644631
    Thyroid cancer is the most common among all endocrine malignancies. The worldwide prevalence of goitre in the general population is estimated at 4-7 percent and the incidence of malignancy in goitrous thyroid is about ten percent. It is postulated that goitrous thyroid is a precursor lesion to the development of malignant thyroid diseases. As Sarawak is a state well known for endemic goitre, this study focused on establishing the incidence of thyroid malignancy among goitrous thyroid swellings.
  5. Than TH, Swethadri GK, Wong J, Ahmad T, Jamil D, Maganlal RK, et al.
    Singapore Med J, 2008 Apr;49(4):333-8.
    PMID: 18418527
    It has been suggested that Galectin-3 (Gal-3) and Galectin-7 (Gal-7) are potential tumour markers for differentiating thyroid carcinoma from its benign counter part. Galectins are beta-galactoside-binding proteins with Gal-3 being a redundant pre-mRNA splicing factor. They are supposed to be p53-related regulators in cell growth and apoptosis, being either anti-apoptotic or pro-apoptotic. Although the value of Gal-3 has been studied extensively, there is little knowledge regarding the expression of Gal-7 in thyroid malignancy.
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