Possibilities of artificial intelligence in the development of antihypertensive herbal preparations

In the modern pharmaceutical industry, the application of artificial intelligence significantly enhances the process of drug development. Recent studies have revealed that artificial intelligence can notably improve the effectiveness of hypertension treatment by optimizing the compositions of herbal blends. This study proposes three unique formulations of blends developed using the ChatGPT neural network. The three devised blend compositions are formulated based on the analysis of plant data, their interactions, and treatment effectiveness. Each composition is meticulously selected to ensure maximum efficacy and minimal side effects. These innovative approaches have the potential to significantly enhance patients' quality of life by providing them with more effective and safer means for treating hypertension and other cardiovascular conditions. This progress opens up new perspectives for future medical development, emphasizing the significance of the symbiosis between technology and medical practice.

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Publication Details

Journal
Medicine and ecology
Published
2025-05-16
DOI
https://doi.org/10.59598/me-2305-6053-2025-114-1-137-140
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Possibilities of artificial intelligence in the development of antihypertensive herbal preparations

Asima M. Turekhanova, A. G. Ibragimova, Zh. S. Toksanbaeva, S. A. Syzdykova et al.
Medicine and ecology
Computational Drug Discovery Methods
article

Possibilities of artificial intelligence in the development of antihypertensive herbal preparations

Asima M. Turekhanova, A. G. Ibragimova, Zh. S. Toksanbaeva, S. A. Syzdykova, M. M. Kulbayeva
article en

Abstract

In the modern pharmaceutical industry, the application of artificial intelligence significantly enhances the process of drug development. Recent studies have revealed that artificial intelligence can notably improve the effectiveness of hypertension treatment by optimizing the compositions of herbal blends. This study proposes three unique formulations of blends developed using the ChatGPT neural network. The three devised blend compositions are formulated based on the analysis of plant data, their interactions, and treatment effectiveness. Each composition is meticulously selected to ensure maximum efficacy and minimal side effects. These innovative approaches have the potential to significantly enhance patients' quality of life by providing them with more effective and safer means for treating hypertension and other cardiovascular conditions. This progress opens up new perspectives for future medical development, emphasizing the significance of the symbiosis between technology and medical practice.

Medicine and ecology(1)
South Kazakhstan Medical Academy (KZ)
Openalex Percentile: Top 88%
Computational Drug Discovery Methods
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