The Medical Technology Enterprise Consortium awarded Spectral MD Holdings, Ltd. a $4.0 million grant

Spectral MD Holdings


Spectral MD Holdings Inc. Spectral MD or the  startup, an artificial intelligence AI startup focused on medical diagnostics enabling faster and more accurate wound care treatment decisions, announced today that it has received a $4 million award from the Medical Technology Enterprise Consortium MTEC.

The MTEC is a 501c3 biomedical consortium that works with the United States Army Medical Material Development Activity, or USAMMDA. This grant will offer non-dilutive funding for military battlefield burn evaluation using a handheld DeepView®, DeepView SnapShot M.

The money will expand on work done previously under a $1.1 million award from the United States Department of Defense and will help the further development of a fully portable gadget. The handheld DeepView SnapShot M would allow injuries on the battlefield to be triaged quickly and correctly, allowing those with more serious burn injuries to be prioritized for evacuation.

The handheld device’s development is intimately related to MTEC’s purpose of facilitating prototype progress of technologies that protect, treat, and maximize the health and performance of US military service personnel.

Spectral MD is a predictive AI firm focused on medical diagnostics enabling faster and more accurate treatment decisions in burn, DFU, and future clinical applications in wound care. Spectral MD is a determined team of forward-thinkers working to transform wound care treatment by Seeing the Unknown® with our DeepView® Wound Diagnostics System.

DeepView®, the Company’s predictive diagnostic gadget, is the only one that provides clinicians with an objective and instantaneous assessment of a wound’s healing potential prior to therapy or other medical intervention.

Spectral MD’s diagnostic platform is projected to give faster and more accurate therapeutic insight, dramatically enhancing patient care and clinical outcomes, with algorithm-driven results that far exceed the existing standard of care.

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