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.

翻译：我们设想"AI科学家"作为能够进行质疑性学习与推理的系统，通过整合机器学习工具与实验平台的协作式智能体来赋能生物医学研究。生物医学AI Agent并非将人类排除在发现过程之外，而是将人类的创造力与专业知识同AI分析大规模数据集、探索假设空间及执行重复性任务的能力相结合。AI Agent擅长多种任务，包括自我评估与发现工作流程的规划。这些智能体利用大语言模型与生成模型构建结构化记忆以实现持续学习，并借助机器学习工具整合科学知识、生物学原理及理论。AI Agent可影响从混合细胞模拟、表型可编程控制、细胞回路设计到新型疗法开发的众多领域。