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AMADEUS: Acute Marijuana Intoxication DetectionUsing Digital Markers

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 271201800018C-0-0-0
Agency Tracking Number: N43DA180018
Amount: $225,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: NIDA
Solicitation Number: N/A
Timeline
Solicitation Year: 2017
Award Year: 2018
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
15400 Calhoun Dr
Rockville, MD 20855
United States
DUNS: 161911532
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Pedram Hovareshti
 (301) 294-5221
 mjames@i-a-i.com
Business Contact
 Pedram Hovareshti
Phone: (301) 294-5221
Email: mjames@i-a-i.com
Research Institution
N/A
Abstract

NIH through NIDA solicits the research and development of digital markers for detection of marijuana intoxication and cognitive impairmentThe goal of this project is to identify the most appropriate among candidate digital markerscognitive and physiologicalto detect driving related impairments due to acute Marijuana use and to develop a system consisting of wearablesa mobile appand accompanying machine learning algorithms that can be used to detect the corresponding impairmentsTo do thisthe ContractorIntelligent Automation IncIAIwill develop a Phase I data acquisition Appwill use it in human studies in collaboration with the SubcontractorOlin Neuropsychiatry Research CenterNRCwill process the collected data and develop a modelThis model will use a subset of the candidate digital markers to detect driving related impairments due to acute Marijuana useThe Contractor will use this model to design a stand alone systemwearablesAppmodelthat can be used for administration of acute Marijuana detection in clinical and law enforcement situationsThe goal in the Phase I study is to develop an initial modeldetermine effect sizes and design a powerful study for Phase II

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

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