• AI accelerates drug discovery by predicting molecular properties and optimizing lead compounds, reducing time and cost.
• Integration of AI with high-throughput screening improves target identification and validation.
• Deep learning models enhance predictive toxicology, increasing drug safety and reducing late-stage failures.
• Regulatory frameworks are evolving to accommodate AI-driven drug development, requiring transparent and interpretable models.