INTELLIGENT BIOMEDICAL ASSISTANT

关于生物学重要性的信息和数据的迅速爆炸 分子需要强大的计算机软件来帮助科学家 整合和理解这些信息。 由于数量、大小和 在线信息和数据库的种类增加，变得不合理 假设工作的科学家们将充分了解 这些信息资源的组织和内容。 的假设 我们在设计和开发智能助手方面的工作， 分子生物学家认为，基于知识的系统技术 足够成熟，有助于发现和解释 与分子生物学研究相关的信息。 我们的长期目标是提高生物医学科学家的生产力 通过设计、实施和提供基于计算机的智能 他们的助手。 有无数这样的助手， 其中一些已经以某种形式存在， 智能地管理日常活动的助理（例如，数据 收集），以协助创造性的任务（如解释 异常和规划实验）。 创建一个统一的，易于使用 为这一广泛的助理收集环境成为必不可少的 这是目标的一部分，因为我们只能节省科学家的时间， 我们提供的软件 因此，我们设想一个生物化学家的工作站， 科学家可以运用各种各样的计算机工具，包括 专门的助手，匹配算法，模拟和数据库。 具体而言，我们建议设计和开发一个工作站， 作为研究人员的智能生物医学助理（IBA）， 分子生物学和遗传学。 这一IBA将是一个高度适应性和 可扩展的系统，将采用人工智能技术， （特别是专家系统和概念学习），这将有助于 研究人员在模型建立，实验规划和假设检验。 国际律师协会将协助解决结构和职能问题 关于蛋白质与DNA的结合。 它将知道一些 目前存在的现有软件和数据库可以帮助研究人员， 并将包括分子生物学的基本知识，其中的问题是 陷害了

The rapid explosion of information and data on biologically important molecules requires powerful computer software to aid scientists with integrating and understanding that information. As the number, size, and types of on-line information and databases increase, it becomes unreasonable to assume that working scientists will have a full understanding of the organization and contents of these information resources. The hypothesis of our work in the design and development of an intelligent assistant for molecular biologists is that the technology of knowledge-based systems is sufficiently mature to assist in the discovery and interpretation of information relevant to molecular biological research. Our long-term goal is to increase the productivity of biomedical scientists by designing, implementing, and providing computer-based intelligent assistants for them. There are limitless numbers of such assistants that can be built, some of which already exist in some form, ranging from assistants that manage routine activities intelligently (e.g., data collection) to those that assist in creative tasks (such as explaining anomalies and planning experiments). Creating a uniform, easy to use environment for this broad collection of assistants becomes an essential part of the goal since we can only save scientists' time if they can use the software we provide. Thus we envision a biochemist's workstation with which scientists can exercise a wide variety of computer-based tools, including specialized assistants, matching algorithms, simulations, and databases. Specifically, we propose to design and develop a workstation which will function as an Intelligent Biomedical Assistant (IBA) for researchers in molecular biology and genetics. This IBA will be a highly adaptive and extensible system which will employ techniques from Artificial Intelligence (particularly expert systems and concept learning) which will assist the researcher in model building, experiment planning and hypothesis testing. The IBA will be assembled to assist with structural and functional questions about proteins that bind to DNA. It will have knowledge of some of the existing software and databases that currently exist to help researchers, and will include basic knowledge of molecular biology in which questions are framed.