EMPOWERING THE ART OF MEDICINE WITH FOCUSED DIGITAL INSIGHTS™
MACHINE LEARNING & AI
USING POPULATION BIG DATA
Virtual Biopsy 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. Virtual biopsies will deliver never-before-seen insights into tiny regions of human tissues to help doctors best care for patients, anticipated to answer questions such as:
Is early cancer growing? What's the genetic subtype of tumor? Is tumor responding to treatment?
Cubismi holds key intellectual property for technology providing highly granular virtual biopsy insights at even the smallest component of an image, a voxel.
3D BODY ADVANCED
THE POTENTIAL SOCIAL IMPACT
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. Revolutionary user experience will create new intuitive order to help doctors focus their time on high value activities, such as expert interpretations and communication.
Patients will have full control of their personal health data. Cubismi's trusted 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.
Cubismi's system will empower the art of medicine and deliver focused digital insights to advance patient care and population health.