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

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.