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Tempus Lens

De-identified multimodal real-world data and analytics for drug discovery, biomarker identification, and clinical trial design.

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Overview

Tempus Lens is a real-world data (RWD) platform developed by Tempus that provides life sciences companies with access to an extensive library of de-identified, multimodal research records. Designed for pharmaceutical, biotech, and biopharma organizations, Tempus Lens enables researchers to harness clinical and molecular data — including DNA, RNA, whole slide pathology images, and imaging data — to accelerate therapy development, power drug discovery, and improve patient outcomes.

The platform combines the breadth of Tempus' multimodal dataset with conversational AI capabilities through Tempus One, allowing users to analyze over 8.5 million de-identified research records. Trusted by 95% of the top 20 pharmaceutical companies and more than 250 biopharma organizations, Tempus Lens supports key milestones across the full drug development lifecycle — from early discovery through late-stage clinical trial design.

Key Research and Development Capabilities

  • Discover novel biomarkers: Leverage real-world multimodal data and bioinformatics expertise to identify disease subtypes and power discovery approaches that lead to novel therapeutic opportunities.
  • Generate and validate hypotheses: Analyze targets of interest and identify the most appropriate patient populations to evaluate for a given therapy program.
  • Design late-stage clinical trials: Validate biomarker strategies, define optimal study populations, assess execution feasibility, and conduct trial simulation and survival analysis to support trial success.

The Tempus Data Advantage

  • 8.5 million or more de-identified research records available for scientific discovery
  • Over 2 million records with imaging data
  • More than 1.5 million records with matched clinical data linked to genomic information
  • Approximately 350,000 or more records with whole transcriptomic profiles
  • A database approximately 90 times larger than The Cancer Genome Atlas, the largest public genomic database

Partnership and Engagement Models

  • Data collaborations: Work directly with experienced Tempus scientists and biostatisticians to perform scoped analyses based on specific research objectives and criteria, with end-to-end support for designing and executing retrospective data analyses.
  • Advanced analytics via Tempus Lens: Conduct preliminary analyses and identify cohorts of interest within the platform, then migrate records to cloud-based Workspaces for deeper insights. AI agents can be layered on for faster data curation and abstraction.

AI-Powered Data Abstraction

  • Tempus employs an advanced agentic architecture and multi-layered AI system to power its data abstraction engine, transforming unstructured clinical text into analysis-ready real-world data.
  • A human-in-the-loop framework builds on years of expert abstraction to ensure the quality and accuracy of AI-structured data.
  • AI agents enable faster data curation, supporting more efficient cohort identification and downstream analysis.

Supported Research Use Cases

  • Prioritizing disease indications based on target expression and its relationship with clinical outcomes
  • Correlating response to standard therapeutic regimens with target expression to support clinical trial planning
  • Validating novel targets and informing trial design for first-in-class therapeutics
  • Identifying oncology targets and biomarkers through collaborative research partnerships
  • Informing strategic decision-making at the enterprise level using real-world data insights

Tempus Lens is available through direct platform access or via structured data collaboration partnerships. Prospective users can submit preliminary cohort criteria — including indication, biomarkers, line of therapy, and data modality (DNA, RNA, clinical, or imaging) — to receive a tailored feasibility assessment from the Tempus team. The platform is intended for life sciences companies focused on research and development applications.

Meta

Domain
Real-World Data & Market Intelligence
Subdomain
Oncology Real-World Data (RWD) & Trial Intelligence
Software type(s)
Analytical Platform
Deployment type(s)
Cloud / SaaS
Industry vertical(s)
Academic / ResearchBiotechCROPharma
Development stage(s)
ClinicalPreclinical / Pre-MarketResearch & Discovery
Target user(s)
Research ScientistBioinformatician / Computational ScientistClinical / Diagnostic ProfessionalIT / Systems Admin / Data Engineer
Compliance standard(s)
HIPAA
Tag(s)
Uses AI