MEDICAL TECHNOLOGY IS FALLING SHORT…
WE CAN DO BETTER
Pronounced inefficiencies in medical computational research, coupled with the high cost of advanced medical diagnostic technology, impede the advancement of treatment options. Inefficiencies create unwanted noise and substantial publication delays across research communities. The sheer magnitude of medical studies has created a data deluge. Treatment enhancements lag because even the most advanced AI tools fail to adequately manage the increasing data overload.
Our team has developed a next-generation AI compute model. This innovative platform makes medical imaging faster, more economical, and far more secure.
Globally, researchers can use Optimizr to devise, implement and trial new diagnostic algorithms that speed research and innovation outcomes in a highly secure fashion. The value of shared secure medical research can be multiplied exponentially, and costs to compute these complex data elements drastically reduced. Our approach reuses longitudinal data sets by research projects beyond the original data. This is extremely valuable in cases where data collection runs for decades and reliance on legacy data is critical.