Cubismi's transformational core Decision 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. It is the first and only Decision Technology to connects intelligence and analytics insights into a synthesized decision-making framework for clinical teams.
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. More, cloud-based digital twin datasets will include, for the first time, integrated patient care outcomes data.
Cubismi’s Decision Flow™-3D foundational 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 ergonomically 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.
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.