SBIR/STTR Research Award

Modulated Imaging in Comprehensive Assessment of Diabetic Foot Ulcer Development and Healing

Award identifier fddc81ab65c4d0c8ddd9f9fef519b055b2ef2d5d02805de443454e69dd0f35a7Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,824,517

Program and phase

SBIR · Phase II

Award year

2016

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Modulated Imaging Inc.
Proposal award date
2016-08-01
Contract end date
2019-07-31
UEI
UHKMAAYPA486
Solicitation number
PA15-269
Topic code
200

Research abstract

ABSTRACT Diabetes mellitus affected million adults worldwide in and is expected to increase in prevalence to million people by the year Foot ulceration continues to be a major comorbidity of diabetes and afflicts as many as of subjects with type and diabetes during their lifetime Lower limb amputations due to poor DFU management are a global burden that is associated with a year mortality rate and cumulatively costs the system approximately $ per patient Effective prevention and treatment of foot ulcers can be hindered due to a lack of objective standards to quantitatively track foot health and assess treatment outcomes The broad goal of this research is to develop Modulated Imaging a new clinically viable tool which provides quantitative insight into disease stage progression and therapeutic response into a clinically viable tool for screening and managing diabetic foot ulcers MI is a non contact imaging technology that determines the in vivo concentrations of subsurface chromophores relevant to tissue health i e hemoglobin oxygenation edema and scattering The goal of this proposal is to develop a user friendly dedicated MI platform system for studying the value of MI derived biometrics like hemoglobin oxygenation and scattering in the diabetic foot In this Phase II program we will build a DFU MI device and perform three pilot studies to assess the capability of our technology to impact diabetic foot care First we will characterize vascular reactivity in control and feet considered at risk for ulcer to determine normative MI biometrics Second we will study our ability to predict new wound formation in feet that are considered in remission but with a andgt chance of re ulceration Finally we will study lower limb perfusion changes after vascular intervention for and existing wound to assess efficacy prior to wound closure Our Phase II research will determine the insertion point of MI technology into DFU clinical care and provide insight to future Phase III clinical study hypotheses and designs in order to build a medical imaging device with indications specific to wound prediction and healing NARRATIVE Effective prevention and treatment of foot ulcers can be hindered due to a lack of objective standards to monitor progression The goal of this research is to develop Modulated Imaging a new optical technology which provides quantitative insight into disease status and therapeutic response into a clinically viable tool for screening and managing diabetic foot ulcers

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.

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.