Briefing
Advancing oncology research with Truveta
Cancer develops over years and continues to evolve through diagnosis, treatment, progression, recurrence, and survivorship.
Generating credible oncology evidence requires complete, representative, and real-time clinical data that capture the full patient journey. Discover how researchers genearte oncology real-world evidence using longitudinal clinical, imaging, claims and outcomes data across the full patient journey.
Download the briefing to explore how:
- Complete longitudinal oncology patient journeys support research from diagnosis through treatment, progression, recurrence, and survivorship.
- AI-extracted variables—including tumor stage, grade, biomarkers, treatment response, progression, and recurrence—enable more precise patient characterization and endpoint definition.
- Linked imaging and clinical outcomes data support biomarker discovery, predictive model development, and multimodal oncology research.
- Daily refreshed oncology data supports timely evaluation of treatment patterns, outcomes, and emerging evidence.
- Large, representative patient populations support cohort identification and real-world outcomes research across common and rare cancers.
