Predicting oral disintegrating tablet formulations by neural network techniques
نویسندگان
چکیده
منابع مشابه
Predicting Oral Disintegrating Tablet Formulations by Neural Network Techniques
Oral Disintegrating Tablets (ODTs) is a novel dosage form that can be dissolved on the tongue within 3min or less especially for geriatric and pediatric patients. Current ODT formulation studies usually rely on the personal experience of pharmaceutical experts and trial-and-error in the laboratory, which is inefficient and time-consuming. The aim of current research was to establish the predict...
متن کاملFast Disintegrating Tablet Technology: Newly Prospects
Tablet that disintegrate rapidly in the mouth are convenient for patient who have difficulty in swallowing conventional dosages forms. Although various formulation technologies like Zydis Technology, Durasolve Technology, Orasolve Technology, Flash Dose Technology, Wow Tab Technology, Flash Tab Technology, Quicksolv Technology, Lyos Technology, Fast Melt Technology and Zip-lets Technology are u...
متن کاملConstrained Formulations for Neural Network
In this paper, we formulate neural-network training as a constrained optimization problem instead of the traditional formulation based on unconstrained optimization. We show that constraints violated during a search provide additional force to help escape from local minima using our newly developed constrained simulated annealing (CSA) algorithm. We demonstrate the merits of our approach by tra...
متن کاملImprovement in medication compliance and glycemic control with voglibose oral disintegrating tablet.
Good compliance with hypoglycemic therapy is important for diabetes treatment, since positive relationship between medication compliance and glycemic control has been reported. To improve medication compliance, the oral disintegrating tablet technology that facilitates drug administration without water has been employed in various drugs, including voglibose, an alpha glucosidase inhibitor. In t...
متن کاملPredicting the Hydrate Formation Temperature by a New Correlation and Neural Network
Gas hydrates are a costly problem when they plug oil and gas pipelines. The best way to determine the HFT and pressure is to measure these conditions experimentally for every gas system. Since this is not practical in terms of time and money, correlations are the other alternative tools. There are a small number of correlations for specific gravity method to predict the hydrate formation. As th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Asian Journal of Pharmaceutical Sciences
سال: 2018
ISSN: 1818-0876
DOI: 10.1016/j.ajps.2018.01.003