Biopharma Cohort Discovery: Pharmaceutical researchers query Tempus's de-identified database to identify patient cohorts with specific genomic profiles for drug development and companion diagnostic validation.
Biomarker Analysis at Scale: Data scientists access structured variant, expression, and clinical outcome data via API to train predictive models for treatment response and disease progression.
FHIR-Based EHR Integration: Health IT teams integrate Tempus genomic reports and clinical trial matches directly into Epic or Cerner workflows using SMART on FHIR applications.
AI Model Benchmarking: Research teams use Tempus's multimodal datasets (genomics + imaging + clinical) to benchmark and fine-tune their own oncology AI models.
Real-World Evidence Generation: Outcomes researchers leverage Tempus's longitudinal real-world data to support regulatory submissions, payer negotiations, and health economics studies.
Automated Lab Ordering & Result Routing: Developers build integrations using Tempus APIs to automate test ordering, status tracking, and result delivery within clinical information systems.

Tempus

Alternatives to Tempus