Artificial Intelligence assisted Pathology

Building Digital Models for Analyzing Clinical Images

  • Developing a high throughput scheme for immune cell identification on stained slides
  • Diagnostic segmentation pipelines using deep learning that are translatable across clinics

Spatial Immune Profiling of Cancer

Spatial Distribution and Colocalization Maps of Tumor-Immune-Microenvironment

  • Multispectral imaging of patient samples for molecular characterization of cancer,
    particularly breast cancer.
  • Image Analytics for developing relative abundance and spatial distribution maps of tumor
    and immune interactions.

Personalized Medicine

Predicting Disease Outcomes and Response to Therapy

  • Combining imaging with spatial transcriptomics for identifying key indicators
    of disease progression and variable treatment response.