AI Redefines Drug Discovery Leap into Future Cures

Challenges and Considerations

Despite its potential, the adoption of AI in drug discovery is not without challenges. Data quality and availability remain significant hurdles, as AI models require large, high-quality datasets to function effectively. Additionally, regulatory frameworks need to evolve to accommodate AI-driven approaches, ensuring that new drugs are safe and effective. Collaborations between AI companies, pharmaceutical firms, and regulatory bodies are essential to address these challenges and fully realize the benefits of AI in drug discovery.