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

Award Information
Agency: National Science Foundation
Branch: N/A
Contract: 1321428
Agency Tracking Number: 1321428
Amount: $224,966.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: EB
Solicitation Number: N/A
Solicitation Year: 2012
Award Year: 2013
Award Start Date (Proposal Award Date): 2013-07-01
Award End Date (Contract End Date): 2014-06-30
Small Business Information
1500 Bull Lea Rd Ste. 213
Lexington, KY 40511-1267
United States
DUNS: 808219047
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Aleksey Vasenkov
 (256) 469-1300
Business Contact
 Aleksey Vasenkov
Phone: (256) 469-1300
Research Institution
 Cornell Unviersity
 Andrew Myers
4133 Upson Hall
Ithaca, NY 14853-
United States

 () -
 Nonprofit College or University

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.

* Information listed above is at the time of submission. *

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