Our AI models help lab productivity, by reducing the time taken by burdensome and monotonous tasks and bringing focus on Diagnostic Excellence. Annotation tools help with live collaboration between pathologists to enhance learning and training aspects and train the models better. It makes sharing of cases and slide referrals easier.
Human-in-the-loop is a critical component of our digital pathology platform, as AI models can analyse images and identify potential areas of concern to assist , it is not a substitute for the knowledge of an experienced pathologist. With HITL, our AI algorithms ensure maximum model accuracy, thus are validated with minimal manual effort, as specialist pathologists can provide feedback and validate to refine the output .
Powerful tool for assisting in the identification of Onco biomarkers, which are crucial for the accurate diagnosis and treatment of cancer. Our platform utilises cutting-edge image analysis algorithms, which can identify patterns and structures within the tissue samples that may be indicative of specific biomarkers. This analysis can be performed on images of both stained and unstained tissue samples, providing even greater insights into the underlying biology of cancer.
Our product feature roadmap involves building advanced Spatial Biology features in visualizing & quantifying tissue micro-environment using computer vision models & image analysis techniques, which will integrate data from multiple-omics technologies, to provide comprehensive view of disease processes. these features will help researchers develop better understanding of disease pathology and improve patient outcomes.
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