The Art of Digital Medicine

The Art of Digital Medicine

Today

Current radiology clinical practice is outdated and limited by legacy technology. Today, current practice for detecting and monitoring cancer uses a single type of image, akin to a single old fashioned 1970’s travel map. CT is most commonly used, yet is approximately only 60-70% sensitive for tumors in solid organs, such as a liver. Today, radiologists make crude single diameter measures to assess changes in tumors after treatment. This practice is akin to attempting to measure the diameter of a sprawling city with irregular margins on a 1970’s travel map.

Cubismi’s Learning Data Science Cloud

Our proprietary technology allows doctors to work in partnership with our data science system to add population data over time to generate increasingly powerful precision analytics for each patient. Although our system will use deep learning when safe, it is designed to provide an explainable and trustworthy machine learning pathway. Doctor-computer interfaces assure doctors remain in control of use of AI tools in patient care.

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Internet of Bodies

Cubismi is working with our affiliates to build state-of-the-art open databases for medical imaging that provide people full control of their personal health data. These open databases will be part of modern internet-scale global digital trust systems. Global scale internet systems with real-time data from biosensors and medical imaging has been coined the “Internet of Bodies.”

The 5D Future

We envision a future where our sophisticated data science cloud powered by the “Internet of Bodies” will generate 5D precision “virtual biopsy” classifications for diseases such as cancer, akin to understanding each and every building in a city and how it’s changing over time. Our 5D technology will use many types of images mapped with new data, such as liquid biopsies. These systems will provide far higher temporal and spatial resolution of tissues, and allow us to “see” tumors in a whole new way that is critically needed.

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