We envision 'AI scientists' as systems capable of skeptical learning and
reasoning that empower biomedical research through collaborative agents that
integrate machine learning tools with experimental platforms. Rather than
taking humans out of the discovery process, biomedical AI agents combine human
creativity and expertise with AI's ability to analyze large datasets, navigate
hypothesis spaces, and execute repetitive tasks. AI agents are proficient in a
variety of tasks, including self-assessment and planning of discovery
workflows. These agents use large language models and generative models to
feature structured memory for continual learning and use machine learning tools
to incorporate scientific knowledge, biological principles, and theories. AI
agents can impact areas ranging from hybrid cell simulation, programmable
control of phenotypes, and the design of cellular circuits to the development
of new therapies.

AI 科学家可以通过与实验平台相结合的协作代理，将机器学习工具与生物医学研究相结合，从而通过怀疑性学习和推理提升生物医学研究的能力。