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RAPID-iNOSE: Real-time Agnostic Patch for Infection Detection using Intelligent Nose

Award Information
Agency: Department of Defense
Branch: Defense Health Agency
Contract: W81XWH-22-P-0132
Agency Tracking Number: H222-002-0012
Amount: $249,977.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: DHA222-002
Solicitation Number: 22.2
Timeline
Solicitation Year: 2022
Award Year: 2022
Award Start Date (Proposal Award Date): 2022-09-13
Award End Date (Contract End Date): 2023-04-15
Small Business Information
4539 Metropolitan Ct
Frederick, MD 21704-9452
United States
DUNS: 004913332
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Xiaonao Liu
 (805) 452-6498
 nanobiofab@gmail.com
Business Contact
 Xiaonao Liu
Phone: (805) 452-6498
Email: nanobiofab@gmail.com
Research Institution
N/A
Abstract

Approximately 40% of combat wounds become infected that can lead to substantial morbidity and mortality. The patient is often given broad-spectrum antimicrobial treatment, prior to identification of the pathogen, or the antimicrobial susceptibility profiles, contributing to antimicrobial resistance. Delivery of a targeted, real-time wearable device to monitor wound infection on the battlefield and beyond would increase the survival rate of the warfighter, reduce suffering, enable effective use of antimicrobials, and treatment costs alike. The turnaround time for gold standard culture-based testing and molecular methods takes several days and is not feasible for routine monitoring of patient progress. There is currently no FDA-approved, deployable device for real-time and early detection of wound infections and pathogen identification suitable for both the field environments and hospital settings that are telemedicine-capable. Nanobiofab proposes a Real-time Agnostic Patch for Infection Detection (RAPID) using a small, lightweight, noninvasive, AI-powered wearable intelligent Nose (called the “RAPID-iNoseTM”). This patch integrates a wireless high-sensitive nanosensor array and artificial intelligence (AI) algorithms for in situ, continuous sensing of complex microbial volatile organic compounds (mVOCs) released by pathogens. The device allows for rapid data collection (within 1 min), and identification and differentiation of wound pathogens (Gram+ or Gram – bacteria and tentatively fungi) for use throughout the continuum of care in the field, home, and clinical settings including transportation. The RAPID-iNose’s small footprint enables integration into wound dressings systems, hypothermia bags, or transport chambers with on-demand wirelessly tracking and monitoring of infection development and progression to optimize resources. Data can be shared with medical professionals in real-time to realize more accurate and appropriate treatment. Importantly, the ability to discern the less common fungal wound infection from those of bacterial infections would enable monitoring of fungal infections and enable correct treatment.  Phase I feasibility studies will empower RAPID-iNose design and development of proof-of-concept prototypes and establish reasonable qualitative infection signal detection of pathogens and identify a pre-clinical animal model for use in Phase II. Phase I-II transition will permit prototype miniaturization. Phase II will allow for the execution of the advanced prototype development of the RAPID-iNose, evaluate the device for pathogen detection in vitro and in vivo, and Q-submission for meeting and feedback from the FDA CDRH-regulated device.

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

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