The concept of ‘AI scientists’ stretches the role of AI agents beyond simple task execution into the realm of biomedical research. Such agents are capable of skeptical learning and autonomous reasoning, bringing a fresh dimension to the integration of AI in scientific discovery.

• Skeptical learning and reasoning for collaborative biomedical research
• Integrates machine learning tools and experimental platforms
• Facilitates continual learning with structured memory
• Utilizes large language models and generative models for efficient analysis

With the potential to influence diverse areas in biomedicine, such as hybrid cell simulation, programmable control of phenotypes, and new therapy development, these AI agent systems could change the foundational approach to biomedical discovery. This research emphasizes the blending of human insight with AI’s analytical prowess, catalyzing a future where AI agents serve as essential elements in the creative process of scientific discovery and innovation.