Emerging Technologies: Application Of Artificial Intelligence and Machine Learning in Pharmaceutical Quality Assurance

This review's objective is to provide an early look at upcoming technology advancements in the pharmaceutical and healthcare sectors. In order to do this, we assess cutting-edge medical advancements from both fields in addition to existing technologies. Artificial intelligence, for instance, is able to understand the connections between different formulations and process variables. Artificial intelligence (AI) has developed into a powerful tool that employs human knowledge to swiftly resolve challenging issues. [4] Significant advancements in machine learning and artificial intelligence present a revolutionary opportunity for drug development, formulation, and testing of pharmaceutical dosage forms. By employing AI algorithms that analyze enormous volumes of biological data, including proteomics and genomes, researchers may identify disease-associated targets and predict how they will interact with potential therapy choices.Machine learning approaches not only help with experiment design but also anticipate the pharmacokinetics and toxicity of possible medications. [5]. This study provides an overview of the many AI-based approaches utilized in pharmaceutical technology and analyzes the benefits and drawbacks of each. However, the pharmaceutical industry's continued investment in and research into AI also has encouraging prospects to enhance drug development processes. AI has become a crucial component in all fields of science and technology, from basic engineering to medicine. Health care and pharmaceutical chemistry have been significantly impacted by AI.