Technology - RSP Systems

Introducing RSP’s patented GlucoBeam^™ TGM^™ technology

RSP’s patented technology advances the field by light years

GlucoBeam technology

The world’s best touch glucose monitoring technology

RSP has developed and clinically verified a non-invasive technology by applying new innovation to a well-understood principle

Highlights:

Advanced technology in optics and AI
Broad and comprehensive patent protection
Multi-center clinical testing of technology performance
Comprehensive plans for technology miniaturization to watch size
RSP plans to pursue FDA clearance based on completion of over 25 clinical and usage studies
Defining and planning a go-to-market strategy
Ongoing investor-partner discussions with industry majors

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How GlucoBeam works

This all-in-one technology system combines Raman spectroscopy and RSP-proprietary Critical Depth technologies to create touch glucose monitoring

User touches the screen with base of thumb
and a beam of light shines on the skin

Light scattered from the skin is collected and processed using artificial intelligence (AI)

Glucose measurement is displayed within a minute

Robust intellectual property

Critical Depth

Apparatus patent covering Critical Depth measurements enabling sustainable calibration and thus practical use.

Pre-validation

Method patent claiming the use of primary spectral data for gauging quality of measurement.

Hybrid Detection

Apparatus patent claiming reduced size spectrometer technology. Enabling overall reduced footprint and future lowering of COGS.

Our highly skilled team have advanced the technological application of Raman spectroscopy to be used to non-invasively measure relevant molecules in human tissue.

These advancements are the result of a decade long R&D and pre-clinical study program during which we refined Raman technology, focusing on improving the optical system, electronics, and data analysis algorithms.

Furthermore, we have carefully developed the know-how of in-vivo measurements required to:

Selectively and efficiently collect Raman signal from the interstitial fluid and cells
Analyze spectral data to derive the concentration of a given molecule
Build a calibration model and use it for deriving concentration values from measurements

In the process, we have discovered and patented fundamental aspects of Raman detection of glucose and other substances in human tissue. This removes the dependence of signal calibration on the probe position, allowing for unprecedented performance.

R&D for GlucoBeam technology

RSP’s R&D program is continually optimizing the mathematical algorithms for converting spectral data to sugar concentrations in the skin. Clarke Error grid study suggests positive testing outcome:

“Real world” test parameters show excellent performance under normal home use without supervision. These conditions were used to determine true baseline performance (study not clinically controlled to optimize or boost outcomes)
Avenues for improvements.
RSP’s program is continually optimizing the mathematical algorithms for converting spectral data to sugar concentrations in the skin¹

1 Source: RSP early, indicative internal data from preliminary testing