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

Cubismi's transformational AI-powered Decision Technology platform is designed to allow physician users to easily pull insights from oceans of big data to make better patient care decisions, quickly, in fast paced clinical environments. It is the first and only AI-powered Decision Technology to connect intelligence and analytics insights into a synthesized decision-making framework for clinical teams.

CLOUD-BASED 3D-TIME VIRTUAL MAP (DIGITAL TWIN)

Cubismi’s Decision Flow™-3D foundational AI-powered cloud technology leverages a cutting-edge “data mesh” informatics technology to anatomically structure data from a potentially unlimited array including medical imaging, genomics and proteomics into holistic AI-enabled 3D-time interactive virtual maps for each patient. Combined with machine learning and AI algorithms, the system is designed for a leap for forward in ergonomic human-information interaction. Machine learning predictions from this structured data design allows for three major leaps forward. First, it will allow a new intuitive order to allow physicians to triage “signal from noise” during decision-making. Second, multi-modal data integrations will provide critically-needed granular biomarkers for cancer and other diseases. Last, this ground-breaking design will, for the first time, allow holistic integration of patient care outcomes metrics and “connected intelligence” across multiple physician decision-makers. This design will allow faster insights and improved recommended actions, and will enable future continuous monitoring and improvement of patient care outcomes.

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.
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