Emerging Artificial Intelligence (AI) Technologies Used in the Development of Solid Dosage Forms
Artificial Intelligence (AI)-based formulation development is a promising approach for facilitating the drug product development process. AI is a versatile tool that contains multiple algorithms that can be applied in various circumstances. Solid dosage forms, represented by tablets, capsules, powde...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-10-01
|
Series: | Pharmaceutics |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4923/14/11/2257 |
_version_ | 1797466812726640640 |
---|---|
author | Junhuang Jiang Xiangyu Ma Defang Ouyang Robert O. Williams |
author_facet | Junhuang Jiang Xiangyu Ma Defang Ouyang Robert O. Williams |
author_sort | Junhuang Jiang |
collection | DOAJ |
description | Artificial Intelligence (AI)-based formulation development is a promising approach for facilitating the drug product development process. AI is a versatile tool that contains multiple algorithms that can be applied in various circumstances. Solid dosage forms, represented by tablets, capsules, powder, granules, etc., are among the most widely used administration methods. During the product development process, multiple factors including critical material attributes (CMAs) and processing parameters can affect product properties, such as dissolution rates, physical and chemical stabilities, particle size distribution, and the aerosol performance of the dry powder. However, the conventional trial-and-error approach for product development is inefficient, laborious, and time-consuming. AI has been recently recognized as an emerging and cutting-edge tool for pharmaceutical formulation development which has gained much attention. This review provides the following insights: (1) a general introduction of AI in the pharmaceutical sciences and principal guidance from the regulatory agencies, (2) approaches to generating a database for solid dosage formulations, (3) insight on data preparation and processing, (4) a brief introduction to and comparisons of AI algorithms, and (5) information on applications and case studies of AI as applied to solid dosage forms. In addition, the powerful technique known as deep learning-based image analytics will be discussed along with its pharmaceutical applications. By applying emerging AI technology, scientists and researchers can better understand and predict the properties of drug formulations to facilitate more efficient drug product development processes. |
first_indexed | 2024-03-09T18:45:00Z |
format | Article |
id | doaj.art-5f2b00294f5f4a91a2cf784833af7fdc |
institution | Directory Open Access Journal |
issn | 1999-4923 |
language | English |
last_indexed | 2024-03-09T18:45:00Z |
publishDate | 2022-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Pharmaceutics |
spelling | doaj.art-5f2b00294f5f4a91a2cf784833af7fdc2023-11-24T06:19:11ZengMDPI AGPharmaceutics1999-49232022-10-011411225710.3390/pharmaceutics14112257Emerging Artificial Intelligence (AI) Technologies Used in the Development of Solid Dosage FormsJunhuang Jiang0Xiangyu Ma1Defang Ouyang2Robert O. Williams3Division of Molecular Pharmaceutics and Drug Delivery, College of Pharmacy, The University of Texas at Austin, Austin, TX 78712, USAGlobal Investment Research, Goldman Sachs, New York, NY 10282, USAState Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences (ICMS), University of Macau, Macau 999078, ChinaDivision of Molecular Pharmaceutics and Drug Delivery, College of Pharmacy, The University of Texas at Austin, Austin, TX 78712, USAArtificial Intelligence (AI)-based formulation development is a promising approach for facilitating the drug product development process. AI is a versatile tool that contains multiple algorithms that can be applied in various circumstances. Solid dosage forms, represented by tablets, capsules, powder, granules, etc., are among the most widely used administration methods. During the product development process, multiple factors including critical material attributes (CMAs) and processing parameters can affect product properties, such as dissolution rates, physical and chemical stabilities, particle size distribution, and the aerosol performance of the dry powder. However, the conventional trial-and-error approach for product development is inefficient, laborious, and time-consuming. AI has been recently recognized as an emerging and cutting-edge tool for pharmaceutical formulation development which has gained much attention. This review provides the following insights: (1) a general introduction of AI in the pharmaceutical sciences and principal guidance from the regulatory agencies, (2) approaches to generating a database for solid dosage formulations, (3) insight on data preparation and processing, (4) a brief introduction to and comparisons of AI algorithms, and (5) information on applications and case studies of AI as applied to solid dosage forms. In addition, the powerful technique known as deep learning-based image analytics will be discussed along with its pharmaceutical applications. By applying emerging AI technology, scientists and researchers can better understand and predict the properties of drug formulations to facilitate more efficient drug product development processes.https://www.mdpi.com/1999-4923/14/11/2257solid dosage formulationartificial intelligencemachine learningdeep learning |
spellingShingle | Junhuang Jiang Xiangyu Ma Defang Ouyang Robert O. Williams Emerging Artificial Intelligence (AI) Technologies Used in the Development of Solid Dosage Forms Pharmaceutics solid dosage formulation artificial intelligence machine learning deep learning |
title | Emerging Artificial Intelligence (AI) Technologies Used in the Development of Solid Dosage Forms |
title_full | Emerging Artificial Intelligence (AI) Technologies Used in the Development of Solid Dosage Forms |
title_fullStr | Emerging Artificial Intelligence (AI) Technologies Used in the Development of Solid Dosage Forms |
title_full_unstemmed | Emerging Artificial Intelligence (AI) Technologies Used in the Development of Solid Dosage Forms |
title_short | Emerging Artificial Intelligence (AI) Technologies Used in the Development of Solid Dosage Forms |
title_sort | emerging artificial intelligence ai technologies used in the development of solid dosage forms |
topic | solid dosage formulation artificial intelligence machine learning deep learning |
url | https://www.mdpi.com/1999-4923/14/11/2257 |
work_keys_str_mv | AT junhuangjiang emergingartificialintelligenceaitechnologiesusedinthedevelopmentofsoliddosageforms AT xiangyuma emergingartificialintelligenceaitechnologiesusedinthedevelopmentofsoliddosageforms AT defangouyang emergingartificialintelligenceaitechnologiesusedinthedevelopmentofsoliddosageforms AT robertowilliams emergingartificialintelligenceaitechnologiesusedinthedevelopmentofsoliddosageforms |