Transforming Drug Discovery with AI: Navigating Regulatory Guidelines

Evolution of AI in Drug Discovery Artificial Intelligence (AI) is catalyzing a transformation in drug discovery and development. It offers innovative solutions that expedite processes and enhance efficiency. However, the adoption of AI in this critical sector also necessitates adherence to stringent regulatory guidelines set forth by bodies like the U.S. Food and Drug Administration (FDA) and the European Medicines Agency (EMA). In this article, we explore the pivotal role of regulatory bodies in guiding AI integration in the pharmaceutical industry while delving into some AI tools used in drug development and discovery. AI in Drug Discovery: A Regulatory Perspective Data Integrity and Quality Assurance : Regulatory agencies emphasize the importance of accurate, high-quality data in AI-driven drug discovery. AI tools like AtomNet specialize in small molecule drug discovery by utilizing deep learning-driven approaches. Ensuring data integrity is a priority, and FDA and EMA provide guid...