Flatiron Health

Real answers to guide oncology's highest-stakes decisions with AI-powered real-world evidence

Enterprise·All audiences·Powered by Proprietary (LLM + ML)·API available

Key strengths

High-fidelity oncology real-world data from millions of cancer patientsAI combined with human expertise for clinical and research insightsSupports 2,000+ peer-reviewed publicationsServes both life sciences and point-of-care clinical settingsPurpose-built AI platform (Flatiron Telescope) for rapid oncology insights

Enterprise pricing

New York, USA

Founded 2012

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Real-World Evidence (RWE) Generation: Developers and data scientists access Flatiron's curated oncology datasets to build RWE studies, applying survival analyses, propensity score matching, and time-to-event modeling on millions of patient records.
LLM-Based Clinical Literature Analysis: Applying large language models to analyze landmark clinical trial discussions (e.g., ASCO presentations) and assess factors influencing real-world adoption of therapies.
Predictive ML Model Development: Training and validating ML models to predict clinical outcomes such as rapid disease progression in metastatic breast cancer patients on CDK 4/6 inhibitors.
EHR Data Extraction & Normalization: Integrating Flatiron's NLP pipelines into clinical data infrastructure to extract structured oncology variables (biomarkers, staging, regimens) from unstructured EHR notes.
External Control Arms: Using Flatiron's patient-level data as a synthetic or external comparator arm in single-arm clinical trials to meet regulatory evidence requirements.
Oncology Insight APIs via Flatiron Telescope: Querying the Telescope AI platform programmatically to retrieve on-demand oncology insights, trend analyses, and evidence summaries for medical affairs and R&D teams.