Data
Data
Breadth (orthogonal data, outcomes) and depth (multiple scanners, stains, lab sources) to maximize predictive utility while minimizing bias.
Development & Evaluation
Optimal machine learning architecture (GNNs, Generative, End-to-End) and rigorous testing based on analytical goals and context of use.
Deployment
Integrated into AISight® platforms for translational research and clinical trials, and deployed within laboratories via IMS to support routine digital pathology workflows.
