Artificial intelligence (AI) is transforming pharmaceutical formulation and drug development by enabling efficient data analysis, optimizing drug design, and streamlining clinical trials. AI's ability to identify patterns and connections in vast datasets allows researchers to discover novel pharmacological targets and develop more potent medications. It also improves drug formulations by predicting solubility, stability, and bioavailability, increasing the likelihood of successful clinical trials. AI is used in designing clinical trials, identifying patient populations likely to benefit from treatment, and monitoring patients during trials to detect adverse effects and adjust dosages. AI is applied in various stages of drug development, including drug discovery, formulation, and quality control. It enhances the identification of hit and lead compounds, validates drug targets, and optimizes drug structure design. AI tools such as artificial neural networks (ANN), fuzzy logic, neuro-fuzzy logic, and genetic algorithms are used to analyze data and improve drug development processes. These technologies help in predicting drug interactions, enhancing drug solubility, and improving the efficiency of drug delivery systems. AI is also used in drug repurposing, identifying new drug targets, and developing personalized treatments. It aids in the creation of controlled-release and immediate-release tablets, as well as in the formulation of hard gelatin capsules and solid dispersions. AI contributes to the development of self-emulsifying drug delivery systems (SEDDS) and other advanced formulations that enhance drug bioavailability and stability. In pharmaceutical manufacturing, AI improves process optimization, quality control, and production efficiency. It enables the integration of data from various sources, facilitating the development of standardized digital data for seamless transfer to relevant systems. AI also supports the design of biopharmaceutical products, ensuring product quality and consistency. The pharmaceutical industry is increasingly adopting AI to reduce costs, improve drug development efficiency, and enhance patient outcomes. AI's role in drug discovery and development is expected to grow, leading to faster, more effective treatments for various diseases. As AI technology advances, it will continue to revolutionize the pharmaceutical industry by enabling more personalized and targeted therapies.Artificial intelligence (AI) is transforming pharmaceutical formulation and drug development by enabling efficient data analysis, optimizing drug design, and streamlining clinical trials. AI's ability to identify patterns and connections in vast datasets allows researchers to discover novel pharmacological targets and develop more potent medications. It also improves drug formulations by predicting solubility, stability, and bioavailability, increasing the likelihood of successful clinical trials. AI is used in designing clinical trials, identifying patient populations likely to benefit from treatment, and monitoring patients during trials to detect adverse effects and adjust dosages. AI is applied in various stages of drug development, including drug discovery, formulation, and quality control. It enhances the identification of hit and lead compounds, validates drug targets, and optimizes drug structure design. AI tools such as artificial neural networks (ANN), fuzzy logic, neuro-fuzzy logic, and genetic algorithms are used to analyze data and improve drug development processes. These technologies help in predicting drug interactions, enhancing drug solubility, and improving the efficiency of drug delivery systems. AI is also used in drug repurposing, identifying new drug targets, and developing personalized treatments. It aids in the creation of controlled-release and immediate-release tablets, as well as in the formulation of hard gelatin capsules and solid dispersions. AI contributes to the development of self-emulsifying drug delivery systems (SEDDS) and other advanced formulations that enhance drug bioavailability and stability. In pharmaceutical manufacturing, AI improves process optimization, quality control, and production efficiency. It enables the integration of data from various sources, facilitating the development of standardized digital data for seamless transfer to relevant systems. AI also supports the design of biopharmaceutical products, ensuring product quality and consistency. The pharmaceutical industry is increasingly adopting AI to reduce costs, improve drug development efficiency, and enhance patient outcomes. AI's role in drug discovery and development is expected to grow, leading to faster, more effective treatments for various diseases. As AI technology advances, it will continue to revolutionize the pharmaceutical industry by enabling more personalized and targeted therapies.