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Automated Quantitative Analysis of ex vivo Blood-Brain Barrier Permeability Using Intellesis Machine-Learning

机译：智能机器学习的离体血脑屏障渗透性自动定量分析

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Michael Nesbit; John C. Mamo; Maimuna Majimbi; Virginie Lam; Ryusuke Takechi;
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1. Prediction of blood-brain barrier permeation of alpha-adrenergic and imidazoline receptor ligands using PAMPA technique and quantitative-structure permeability relationship analysis [J] . Vucicevic Jelica, Nikolic Katarina, Dobricic Vladimir, European journal of pharmaceutical sciences . 2015,第Null期

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2. Prediction of blood-brain barrier permeation of alpha-adrenergic and imidazoline receptor ligands using PAMPA technique and quantitative-structure permeability relationship analysis [J] . Vucicevic Jelica, Nikolic Katarina, Dobricic Vladimir, European journal of pharmaceutical sciences . 2015,第Null期

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3. Intracarotid tumor necrosis factor-alpha administration increases the blood-brain barrier permeability in cerebral cortex of the newborn pig: quantitative aspects of double-labelling studies and confocal laser scanning analysis. [J] . Abraham CS, Deli MA, Joo F, Neuroscience Letters: An International Multidisciplinary Journal Devoted to the Rapid Publication of Basic Research in the Brain Sciences . 1996,第2期

机译：颈动脉内肿瘤坏死因子-α给药可提高新生猪大脑皮质的血脑屏障通透性：双标签研究和共聚焦激光扫描分析的定量方面。
4. In-vivo quantitative permeability assessment of the focused-ultrasound-induced blood-brain barrier opening using dynamic contrast-enhanced MRI [C] . Vlachos Fotios, Tung Yao-Sheng, Konofagou Elisa E. 2010 IEEE International Ultrasonics Symposium . 2010

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5. Quantitative and dynamic analysis of the focused-ultrasound induced blood-brain barrier opening in vivo for drug delivery [D] . Samiotaki, Gesthimani. 2015

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6. In vivo assessment of the permeability of the blood-brain barrier and blood-retinal barrier to fluorescent indoline derivatives in zebrafish [O] . Kohei Watanabe, Yuhei Nishimura, Tsuyoshi Nomoto, 2012

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7. In vivo assessment of the permeability of the blood-brain barrier and blood-retinal barrier to fluorescent indoline derivatives in zebrafish [O] . Kohei Watanabe, Yuhei Nishimura, Tsuyoshi Nomoto, 2012

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Automated Quantitative Analysis of ex vivo Blood-Brain Barrier Permeability Using Intellesis Machine-Learning

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