STTR Phase I: Multi Scale Solution Tool For Solving Complex Life Science Problems

这个小企业技术转让（STTR）第一阶段项目旨在证明软件开发解决复杂生命科学问题的可行性。 生命科学是一个真正的跨学科领域，真实的合作可以大大提高技术和产品开发的水平。 但是，产业界和学术/政府机构之间的合作目前受到以下限制：（a）产业界合作者必须分析大量复杂和专门的信息;（B）保护合作者知识产权的各种不同的保密政策;以及（c）企业对向公众披露其研发问题可能削弱其业务地位的合理担忧。为了解决这些基本限制，软件将开发以下创新组件：（1）用于发现非明显生物关系的文本和数据挖掘模型，以及（2）以新的程序语言实现的用于数据存储和共享的安全工作空间，该程序语言强制执行数据资源的机密性和完整性策略。 第一阶段将制作初步软件和可行性研究的书面结果。将对这些研究的结果进行分析，以评估拟议软件的更广泛影响和商业潜力。更广泛的影响/商业影响将是开发创新的，独特的软件，这将大大改变生命科学和其他跨学科领域目前解决问题的方式。 该软件旨在提高生命科学和其他跨学科行业的产品开发水平，并帮助分析大型文本数据。 目标客户将是生命科学小型企业，因为他们非常需要外部合作，但他们的资源和专业知识有限。 其他潜在客户包括大学教授和在学科领域具有相关专业知识的独立专家。 预计，一旦该工具成熟，大型工业客户也将使用它来解决需要大胆行动和广泛合作的问题。

This Small Business Technology Transfer (STTR) Phase I project proposes to demonstrate the feasibility of software for the development of solutions to complex life science problems. Life science is truly an interdisciplinary field for which real collaborations can substantially advance the level of technology and product development. However, collaboration between industry and academic/government institutions is currently limited by (a) necessity for industrial collaborators to analyze large amount of complex and specialized information, (b) various heterogeneous nondisclosure policies to protect intellectual property rights of collaborators, and (c) legitimate concerns of businesses that disclosures of their R&D problems to the public could weaken their business position. To address these fundamental limitations, software will be developed with the following innovative components: (1) Text and data mining model for finding nonobvious biological relationships, and (2) Secure workspace for data storing and sharing implemented in new program language that enforces confidentiality and integrity policies of data resource. Phase I will produce preliminary software and documented results of feasibility studies. The results of these studies will be analyzed to evaluate broader impacts and commercial potential of proposed software. The broader impact/commercial impact of this will be to develop innovative, unique software that will drastically change the way problems in life science and other interdisciplinary fields are currently solved. The software is intended to advance the level of product development in life science and other interdisciplinary industries, and to aid in analyzing large text data. The targeted customers will be life science small businesses as they have a great need for external collaboration but they have limited resources and expertise. Other potential customers include university professors and independent experts with relevant expertise in subject areas. It is anticipated that, once the proposed tool has matured, it also will be used by large industrial customers for troubleshooting problems that require bold action and broad cooperation.