Explore how proteomics and machine learning are used to identify clinically translatable biomarkers.
Explore how proteomics and machine learning are used to identify clinically translatable biomarkers.
Key highlights of this case study:
- Sparse, reliable biomarkers for improved clinical interpretability
- Cross-platform versatility using datasets generated using the SomaScan Assay and CyTOF technologies
- Biomarkers linked to post-surgical infection risk
Explore how proteomics and machine learning are used to identify clinically translatable biomarkers.
Key highlights of this case study:
- Sparse, reliable biomarkers for improved clinical interpretability
- Cross-platform versatility using datasets generated using the SomaScan Assay and CyTOF technologies
- Biomarkers linked to post-surgical infection risk