Harnessing ChatGPT for Pharmaceutics, Computing, and Environmental Health: Oral Organogels, AI-Driven Cybersecurity, and Machine Learning Insights

George Edison (2025) Harnessing ChatGPT for Pharmaceutics, Computing, and Environmental Health: Oral Organogels, AI-Driven Cybersecurity, and Machine Learning Insights. Global Journal of Computer Sciences and Artificial Intelligence, 1 (3). pp. 42-55. ISSN 3079-5753

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Abstract

This review offers the interdisciplinary convergence of the pharmaceutics, computing, and environmental health, and outlines the potential transformative value of the integration of oral organogels, artificial intelligence (AI), and machine learning (ML)-driven insights. Oral organogels are novel drug delivery systems, which are much more soluble, stable, as well as releaseable. Pharmaceutical research, predictive modeling, and cybersecurity are improved with the help of AI and ML, and knowledge synthesis and interdisciplinary collaboration can be facilitated by such tools as ChatGPT. ML-based predictive analytics and risk assessment are useful in environmental health applications to enable proactive intervention. Improving the interconnection of these areas, researchers will be able to optimize therapeutic approaches, protect sensitive data, and come up with actionable findings, and this proves the power of integrated strategies to achieve better healthcare, environmental leadership, and data-driven innovation.

Item Type: Article
Date Deposited: 14 Oct 2026 05:18
Last Modified: 14 Oct 2026 05:18
URI: https://repository.globalsciencepress.com/id/eprint/565

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