DE-INTERACT: A machine-learning-based predictive tool for the drug-excipient interaction study during product development—Validation through paracetamol and vanillin as a case study-Reference-Cited by-同舟云学术

DE-INTERACT: A machine-learning-based predictive tool for the drug-excipient interaction study during product development—Validation through paracetamol and vanillin as a case study

Published:2023-04 Issue: Volume:637 Page:122839
ISSN:0378-5173
Container-title:International Journal of Pharmaceutics
language:en
Short-container-title:International Journal of Pharmaceutics

Author:

Patel Swayamprakash,Patel Mehul,Kulkarni Mangesh,Patel Mruduka S.

Funder

Charotar University of Science and Technology

Publisher

Elsevier BV

Subject

Pharmaceutical Science

Reference47 articles.

1. Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research;Agatonovic-Kustrin;J. Pharm. Biomed. Anal.,2000

2. Excipient-drug interactions in parenteral formulations;Akers;J. Pharm. Sci.,2002

3. Formulation and pharmacopoeial quality evaluation of ketorolac tromethamine IR tablet and comparison with marketed product;Aysha;J. Appl. Pharm. Sci.,2019

4. The study of under-and over-sampling methods’ utility in analysis of highly imbalanced data on osteoporosis;Bach;Inf. Sci.,2017

5. Stability testing of pharmaceutical products;Bajaj;J. Appl. Pharm. Sci.,2012

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