Accelerate AI-powered pathology research with access to high-quality whole slide images (WSI) linked to rich clinical, molecular, and outcomes data. Discovery’s WSI library enables the development of machine learning models for cancer detection, biomarker discovery, patient stratification, and treatment-response prediction.
Discovery’s WSI library is designed for AI and digital pathology applications, each dataset combines high-resolution tissue images with curated metadata to support robust model development and validation.
ArtifactDetect and TumorDetect are research use only products available on PathAI’s AISight® Image Management System, not for use in diagnostic procedures.
| Image Only | Image + FFPE | Total Images | |
|---|---|---|---|
|
Lung Cancer |
43,000 |
7,000 |
50,000 |
|
SpecimenSeqTM FFPE Tissues Targeted NGS Solid Tumor Panel Results |
33,500 |
7,500 |
41,000 |
|
Patient Follow-Up Data Treatment and Outcome Summaries |
1,300 |
300 |
1,600 |
|
Additional Characterizations MSI, MMR, PD-L1, HPV, HLA, and More |
20,000 |
6,000 |
26,000 |
Discovery’s WSI library is continuously updated with new images; therefore, the numbers shown may change. This table reflects only a subset of Discovery’s total biospecimen inventory.
Enhance image-based analysis with molecular and longitudinal clinical data.
Targeted NGS panel results available from:
Available cohorts may include:
Selected cohorts include up to 2 years of follow-up data, with patient treatment and outcome summaries at:
Extend the value of your tissue images with industry-leading digital pathology and AI-powered analysis services.
Leverage PathAI technology to rapidly assess and annotate whole slide images at scale.
Transform your physical tissue slide archives into a searchable, scalable digital asset library.
Unlock deeper biological insights with the full suite of PathAI analytical capabilities.
Access expert pathology support for annotation, validation, and quality assurance needs.
