Part 12/13:
Closing Remarks: Balancing Innovation and Caution
While AI holds immense promise for advancing biomedical research, Elare underscores the importance of rigorous validation, cautious deployment, and ethical considerations—especially given the high stakes where inaccuracies could have serious consequences.
Their ongoing experiments demonstrate that prompt engineering and model selection are vital, and that domain-specific training data dramatically enhances model reliability. The company's approach exemplifies a responsible path forward: leveraging AI to complement human expertise, not replace it, ensuring faster, smarter, and safer scientific discoveries.