AI: A Catalyst for Analytical Innovation

Michel Reich, Teva Pharmaceuticals LTD, Netanya, Israel (Michael.Reich@teva.co.il)

Artificial intelligence (AI) holds immense promise for revolutionizing pharmaceutical analytical chemistry. This presentation will explore the transformative potential of AI technologies to significantly enhance the efficiency, accuracy, and innovation of analytical processes within the pharmaceutical industry. We will provide a comprehensive overview of how AI-driven technologies can be integrated into various stages of drug development and quality control. Specifically, we will discuss how AI models can be used in cell line development to detect lead cells in images of cell cultures and fluorescence assays by identifying subtle patterns and features often missed by traditional analysis, making the detection process more reliable and reproducible. By leveraging AI, the pharmaceutical industry can reduce the time and resources required for analytical tasks, leading to faster and more reliable drug development. This presentation aims to highlight the fundamental principles and benefits of AI, offering attendees insights into emerging trends and potential future directions of AI applications in this field. Ultimately, we seek to foster a deeper understanding of how these technologies can drive innovation and excellence in pharmaceutical research and development.