Expert Systems in Preformulation and Formulation Development with Special Reference to SeDeM System: An Innovative, Problem Solving, Intelligent and Optimization Algorithm Tool

In the field of pharmaceutical research, expert tool has become a game-changing tool that is altering many aspects of drug discovery and development. Understanding the physicochemical characteristics of drug candidates is essential for developing formulation methods, and this is where preformulation studies come into play. The incorporation of expert tools in preformulation research is thoroughly examined in this review, which also highlights the problems, applications, and future prospects of these techniques. Further, the present review focuses on role of SeDeM expert system to generate information about drug and excipients in association with Artificial Intelligence (AI). Researchers can identify safer and more effective therapies by utilizing AI-driven techniques to accelerate drug development processes, optimize formulations, and reduce risks related to drug delivery.

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Publication Details

Journal
Current Indian Science
Published
2024-12-10
DOI
https://doi.org/10.2174/012210299x338978241015155050
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

Expert Systems in Preformulation and Formulation Development with Special Reference to SeDeM System: An Innovative, Problem Solving, Intelligent and Optimization Algorithm Tool

Megha Verma, Anupam Jaiswal, Ajay Kumar Shukla, Kunal Agam Kanaujia et al.
Current Indian Science
Computational Drug Discovery Methods
article

Expert Systems in Preformulation and Formulation Development with Special Reference to SeDeM System: An Innovative, Problem Solving, Intelligent and Optimization Algorithm Tool

Megha Verma, Anupam Jaiswal, Ajay Kumar Shukla, Kunal Agam Kanaujia, Vimal Kumar Yadav, Vandana Gupta
article en

Abstract

In the field of pharmaceutical research, expert tool has become a game-changing tool that is altering many aspects of drug discovery and development. Understanding the physicochemical characteristics of drug candidates is essential for developing formulation methods, and this is where preformulation studies come into play. The incorporation of expert tools in preformulation research is thoroughly examined in this review, which also highlights the problems, applications, and future prospects of these techniques. Further, the present review focuses on role of SeDeM expert system to generate information about drug and excipients in association with Artificial Intelligence (AI). Researchers can identify safer and more effective therapies by utilizing AI-driven techniques to accelerate drug development processes, optimize formulations, and reduce risks related to drug delivery.

Current Indian ScienceVol. 02
Dr. Ram Manohar Lohia Avadh University (IN), Sam Higginbottom Institute of Agriculture (IN)
Good health and well-being
Openalex Percentile: Top 73%
Computational Drug Discovery Methods
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Expert Systems in Preformulation and Formulation Development with Special Reference to SeDeM System: An Innovative, Problem Solving, Intelligent and Optimization Algorithm Tool — Megha Verma, Anupam Jaiswal, et al. · Current Indian Science (2024) | TGRS Research Map | TGRS