At the heart of PAIGE are large-scale Machine Learning algorithms that are trained at petabyte-scale from tens of thousands of digital slides. We are developing novel deep learning algorithms based on convolutional and recurrent neural networks as well as generative models that are able to learn efficiently from an unprecedented wealth of visual and clinical data.
Digitized slides paired with clinical notes and machine learning algorithms will enable pathologists to reach diagnoses faster and more accurately.
We are building an Artificial Intelligence to fundamentally change clinical diagnosis and treatment of cancer. We are working on general and organ-specific modules which will allow PAIGE to fulfill a plethora of tasks, ranging from rapid stratification to tumor detection, segmentation, and prediction of treatment response and survival.
In addition, our slide viewer is vendor agnostic, device independent, fully integrated into the laboratory information systems, and can deliver PAIGE's AI modules to the pathologist. It allows for a seamless application in the clinical workflow.