CUBISMI IS

UNIQUE, TRULY UNIQUE.

RE-IMAGINE BIG DATA TO IMAGINE A BETTER FUTURE, DIGITALLY TRANSFORMED.

Cubismi's transformational core technology is designed to allow physician users and other healthcare professionals to ergonomically pull insights from oceans of big data to make better patient care decisions, quickly, in fast paced clinical environments.

THE FIRST AND ONLY CLINICAL CARE PLATFORM WITH
HUMAN-CENTRIC FRONT-END 3D DESIGN
COMBINED WITH A
BACK-END DATA MESH & FABRIC

CLOUD-BASED 3D-TIME VIRTUAL MAP

Cubismi’s core innovation stems from proprietary cloud-based precision biomap ‘digital twin’ technology that structures health data into a holistic 3D-time virtual map for each patient.  All of a patient’s digital data is mapped to anatomy and across time, driving more powerful and reliable predictive analytics. Once mapped, the stitched data can be compared to similar population stitched data to deliver predictions using machine learning and explainable AI, such as - one day - far earlier detection of cancer. This holistic structured 3D-time virtual map in the cloud will someday allow universal credentialed access and will power the development of novel human-information interaction capabilities over time.

VALIDATED
DATA MESH & DATA FABRIC TECHNOLOGY
WILL POWER THE AUTOMATED STRUCTURING OF EACH PATIENT'S HEALTH DATA

DATA MESH & FABRIC STRUCTURING WILL PROVIDE THE CORNERSTONE FOR SUCCESSFUL REAL-TIME PRECISION DIAGNOSTICS IN CLINICAL CARE ENVIRONMENTS THROUGH THREE MAIN BENEFITS:

1
Information overview first and details on demand
3D “smartview” digital twin representations with the most relevant high level metadata information presented first, reducing expert cognitive overload.
Cognitive ergonomics
2
Novel BIOMARKER information
Cancer Biometric "Virtual
Biopsy" granular biomarker predictions
Valuble precison insights from proprietary "hypercube" technology

Cubismi's patent-protected "Hypercube" technology leverages the structured 3D-Time Patient Virtual Maps to stitch diverse types of health data, combined with a "moving windows" (akin to CNN sliding windows) which classifies stitch data in comparison to population data. "Moving windows" can use "AI" neural networks. The results in granular precision predictions, which are critical need for cancer. Cubismi's specific method, and similar methods, have been validation been validation by numerous publications in leading journals. Cubismi's platform will further enable this research and specific use cases for cancer and other diseases.

3
Information triage
Metadata and structuring using the Data Mesh & Data Fabric technology, which will include precision analytics outputs, will allow display of highl evel intuitive order for expert information triage. For example, in the future and given enough data for training, the technology could allow displays of normal versus abnormal voxels in medical images.
This metadata display would allow experts to easily sort data "signal from noise" and avoid today's task-heavy work of sorting through non-relevant "noise" during decision-making.
THE DATA MESH & DATA FABRIC ARE VALIDATED AND SUPPORTED BY WIDELY-ACCESSIBLE CLOUD TECHNOLOGY,
AS SUPPORTED BY LEADING TECHNOLOGY RESEARCH.
LEARN MORE ABOUT OUR TEAM