Putting the power of health big data into the hands of patients and doctors™
A TRUSTED HEALTH DATA EXCHANGE CLOUD FOR DELIVERY OF
3D BODY PRECISION CLINICAL INSIGHTS™
HOW MUCH OF OUR EXPLODING DIGITAL DATA
IS IN MEDICAL IMAGING?
Why is this a huge problem?
CUBISMI'S SOLUTION:
A SIMPLIFIED "ONE FILE"
+ A TRUSTED HEALTH DATA EXCHANGE CLOUD
*Please note that Cubsimi products are in development, have not been reviewed by the FDA, and are not currently for sale.
HUMAN-IN-THE-LOOP
MACHINE LEARNING & AI
USING POPULATION BIG DATA
3D Body Precision
Clinical Insights
NEW VIRTUAL BIOPSIES
Precision imaging of the future will deliver "virtual biopsies," depicted in red, yellow, and blue in the above figure. Scientific proof of concept for virtual biopsies using machine learning and deep learning has been established, and Cubismi holds key intellectual property. Virtual biopsies will deliver never-before-seen insights into tiny regions of human tissues to help doctors best care for patients. Precision "virtual biopsies" of the future are anticipated to answer questions such as:
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Is early cancer growing? What's the genetic subtype of tumor? Is tumor responding to treatment?
3D BODY ADVANCED
HIGH-DIMENSIONALITY
MODELING
THE POTENTIAL IMPACT OF
PRECISION IMAGING
Cubismi's groundbreaking critical-need technology has the potential to solve a multi-billion dollar problem for our healthcare system. Simplification and restructuring of basic data organization around patient anatomy and medical imaging, as well as functions such as automated data integration, will alleviate many pains for doctors and make work their work more efficient.
As a precision imaging system, Cubismi's data exchange cloud will optimize data quality as part of a "human-in-the-loop" data system integrated with core doctor fiduciary responsibilities.
Cubismi's system will add increasing capabilities and "use cases," such as innumerable potential new precision "virtual biopsies." We predict that precision imaging will deliver far earlier detection of cancer and other diseases, leaps for monitoring treatment responses, and the cures for certain diseases.
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