by Duxin Sun and Christian Macedonia • 1 month ago
Artificial intelligence (AI) holds promise for drug development, but its effectiveness remains debated. While AI can accelerate certain stages, it faces challenges in improving success rates in clinical trials, where 90% of drugs fail. High-quality datasets are limited, and there's a need for better integration of AI insights with drug development expertise. Researchers propose using AI to predict drug safety and efficacy, potentially enhancing candidate selection and reducing costs in clinical trials.