Abstract
Artificial intelligence (AI) is a rapidly transforming drug discovery and development process, significantly impacting the pharmaceutical industry and enhancing human health. This review article examines the tremendous role of AI in analyzing complex biological data, optimizing research processes, and reducing costs of production. Implementation of AI in the pharmaceutical sector can store a vast dataset of manufacturing processes, identify potential disease targets, simulate physiological conditions, and predict drug interactions. The review article also discusses the AI concepts and their applications, particularly in developing solid dosage forms. Advanced algorithms optimize formulation processes, predict pharmacokinetics profiles, and assess drug toxicity profiles, facilitating a more efficient pathway from pilot study to market. Additionally, this review highlights the advancements in 3D printing technologies of dosage forms that have the ability to provide personalized treatment to different individuals. Furthermore, the article explores the opportunities and challenges of AI in healthcare, focusing on applications such as disease diagnosis, digital therapy, and epidemic forecasting. Prominent AI technologies like deep learning and neural networks are examined for their roles in predicting outbreaks of diseases like influenza and COVID-19. As the pharmaceutical landscape evolves, AI is poised to redefine traditional methods. This paves the way for more efficient healthcare solutions. By harnessing the interplay of technology and science, AI not only increases productivity; but it also promotes a new era of precision medicine tailored to the needs of each patient.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call