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- 저자 : Issa Hassan (검색결과 3 건)
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Khalil Sakeer,Hind Al-Zein,Issa Hassan,Sandip Desai,Ali Nokhodchi 대한약학회 2010 Archives of Pharmacal Research Vol.33 No.11
Nystatin is commonly employed to treat fungal infections in the mouth. It is not absorbed via the stomach and it will therefore not treat fungal infections in any part of the body other than the mouth. Nystatin buccoadhesive tablets release the drug very slowly due to the poor solubility of nystatin in water and also the presence of polymers with mucoadhesive properties. Therefore, the aim of the present study was to improve drug release from buccoadhesive tablets,while retaining adequate mucoadhesive properties. To this end, a solid dispersion of nystatin: lactose (1:3) was prepared and mixed with xanthan. The effects of hydrophilic surfactants such as cremophor RH40 and Tween 80 on drug release and mucoadhesive properties of nystatin tablets were also investigated as were swelling and erosion indices and strength of bioadhesion in vitro to a biological membrane. The interaction between nystatin and lactose in solid dispersion formulation was investigated by XRPD, FT-IR and DSC. The results showed that a solid dispersion formulation and mucoadhesive tablets containing surfactants led to faster drug release than their simple physical mixtures. Drug release was also faster from a solid dispersion compared to tablets containing surfactants. Swelling and erosion results showed that tablets made of a solid dispersion swelled and eroded faster than a physical mixture formulation. The presence of surfactant slightly increased the degree of swelling and erosion of buccoadhesive tablets.
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Elnemr, Gamal M,El-Rashidy, Ahmed H,Osman, Ahmed H,Issa, Lotfi F,Abbas, Osama A,Al-Zahrani, Abdullah S,El-Seman, Sheriff M,Mohammed, Amrallah A,Hassan, Abdelghani A Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.2
Triple-negative breast cancers constitute about 15% of all cases, but despite their higher response to neoadjuvant chemotherapy, the tumors are very aggressive and associated with a poor prognosis as well as a higher risk of early recurrence. This study was retrospectively performed on 101 patients with stage II and III invasive breast cancer who received 6-8 cycles of neo-adjuvant chemotherapy. Out of the total, 23 were in the triple negative breast cancer subgroup. Nuclear Ki-67 expression in both the large cohort group (n=101) and triple negative breast cancer subgroup (n=23) and its relation to the pathological response were evaluated. The purpose of the study was to identify the predictive value of nuclear protein Ki-67 expression among patients with invasive breast cancers, involving the triple negative breast cancer subgroup, treated with neoadjuvant chemotherapy in correlation to the rate of pathological complete response. The proliferation marker Ki-67 expression was highest in the triple negative breast cancer subgroup. No appreciable difference in the rate of Ki-67 expression in triple negative breast cancer subgroup using either a cutoff of 14% or 35%. Triple negative breast cancer subgroup showed lower rates of pathological complete response. Achievement of pathological complete response was significantly correlated with smaller tumor size and higher Ki-67 expression. The majority of triple negative breast cancer cases achieved pathological partial response. The study concluded that Ki-67 is a useful tool to predict chemosensitivity in the setting of neoadjuvant chemotherapy for invasive breast cancer but not for the triple negative breast cancer subgroup.
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A Novel Neural Network Ternary Arithmetic Logic Unit
Ali Haidar,M. Jad Hamdan,M. Backer Rashid,Hassan Hamieh,Ahmad Issa,Abdallah Kassem 대한전자공학회 2008 ITC-CSCC :International Technical Conference on Ci Vol.2008 No.7
in this paper we introduce a new set of ternary neural networks to realize a novel Ternary Arithmetic Logic Unit (TALU). All the neurons take advantage of the Logic Oriented neural network mathematical tools and parallelism concepts allowing fast and simple systematic analysis. The simulation results, done using MATLAB Simulink, demonstrate the feasibility, functionality and the correctness of the neural networks designed.
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