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Disintegration And Dissolution Of Solid Oral Dose Forms In The Fed Stomach : Novel Insights Using MRI Imaging In Humans

Disintegration And Dissolution Of Solid Oral Dose Forms In The Fed Stomach : Novel Insights Using MRI Imaging In Humans
固体口服剂型在胃中的崩解和溶解:利用人体 MRI 成像的新见解
批准号:
2753934
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

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中文摘要
翻译
我们对固体口服剂型在喂食状态下的行为的基本知识仍然存在重大差距。MRI成像有可能提供胃中发生的空间和时间过程的新信息。GSK与诺丁汉大学胃肠成像和专家之间的iCASE合作解决了这些关键的基本问题,有可能为口服产品开发提供更好的体外和硅(建模)工具,并最终提高我们在联邦状态下定制药物释放的能力。该学生将优化和利用核磁共振成像的能力,通过以下方式来检测和表征喂食胃中剂型的行为:1)识别和设计合适的试验分解配方。2)剂型崩解评价的MRI技术优化及图像分析。体外评估将是这项工作的关键部分。3)通过精心挑选的测试配方和测试膳食对人类志愿者的MRI技术进行评估该学生将受益于世界领先的研究环境,具有明确转化应用的独特多学科方法,以及量身定制的培训机会,包括图像数据处理,生物医学成像,机器学习和人工智能方面的培训
英文摘要
Significant gaps remain in our basic knowledge of solid oral dosage form behaviour in the fed state. MRI imaging has the potential to provide new information on spatial and temporal processes occurring in the stomach. This iCASE collaboration between GSK and gastrointestinal imaging and specialists at the University of Nottingham addresses some of these key basic issues, with the potential to lead to better in-vitro and in-silico (modelling) tools for oral product development, and ultimately enhance our ability to tailor drug release in the fed state.The student will optimise and exploit the ability of MRI imaging to detect and characterise the behaviour of dosage forms in the fed stomach by:1) Identification and design of suitable test disintegrating formulations. 2) Optimisation of MRI techniques and image analysis for the evaluation of dosage form disintegration. In-vitro assessment will perform a key part of this work. 3) Evaluation of MRI techniques in human volunteers with carefully selected test formulations and test mealsThe student will benefit from a world-leading research environment, a unique multi-disciplinary approach with clear translational applications, and tailored training opportunities including training in image data processing, biomedical imaging, machine learning and artificial intelligence
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