SBIR/STTR Research Award

Software Platform for Analyzing Alzheimer s and Parkinson s fMRI Connectomes

Award identifier 8f27231eb9255aab97ff83508f0e6d96ecb7381217981fc964ed3f9b5ef3d7f6Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,253,742

Program and phase

SBIR · Phase II – Direct to Phase II

Award year

2016

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
WILLIAM D SHANNON CONSULTING LLC
Proposal award date
2016-05-15
Contract end date
2018-08-31
UEI
JAGMUBJY1GM5
Solicitation number
PAR15-288
Topic code
NIA

Research abstract

DESCRIPTION provided by applicant It is estimated that the cost in the US for brain disorders per year is $ billion for treatment and long term care with another $ billion in other nonmedical costs As a consequence reducing the burden of human brain disorders is a key focus of the NIH BRAIN Initiative with one strategy being the use of fMRI connectomes to study brain region functioning Current approaches for analyzing connectomes use andapos off the shelfandapos statistical methods not optimized for this type of data In this Direct to Phase II SBIR we propose to further develop and strengthen our graphical object oriented data analysis software to solve data analysis experimental design and hypothesis testing problems in translational neuroscience Product This SBIR will produce analytical software for fMRI data in translational research Users will access the software through a cloud based Software as a Service SaaS contract The technical innovation of this SBIR statistical software designed specifically and optimized for fMRI brain imaging data is to support moving fMRI technology from basic Randamp D to translational clinical science The impact of this technology are tools to improve brain imaging experimental design improve biostatistical analysis of brain imaging data and ultimately improve discovery of biomarkers and identify possible drug targets for clinical treatment Long term goal Extending our cloud based Software as a Service SaaS data analytics platform offers researchers an easy to use web based interface for analyzing new and complex biomedical research data As a platform technology there are many applications in other areas of biomedical research that can be developed Therefore our business strategy is to identify the areas of science that have the greatest potential to make the move from the university research setting into the commercial arena and that produce novel or complex data with no commercial analytics tools for translational clinical trials yet on the market The Specific Aims of this SBIR Direct to Phase II project are Aim Develop statistical algorithms and software Aim Validate the methods Aim Apply the methods to real data Expected outcomes Validated statistical software proven to be more powerful than existing methods for analyzing fMRI connectome data in translational research PUBLIC HEALTH RELEVANCE Brain imaging is seen as a new way to discover andapos biomarkersandapos that might be used in the clinic to diagnose diseases like Alzheimerandapos s or Parkinsonandapos s early and a new way to help develop drugs for these types of diseases This project is creating statistical software that will help researchers find and test these biomarkers and speed up the development of new treatments

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

5 SBIR/STTR records share this UEI (2014–2021). Reported award amounts total $3,955,660. Reported amounts are not federal obligations.

Phases: Phase I, Phase II – Direct to Phase II, Phase II

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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