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Saving lives with data by providing regulatory-grade safety and effectiveness data.

Empowering early cancer detection through a multiomics AI platform and routine blood tests.

Freenome is a pioneering biotechnology company utilizing a multiomics platform integrated with advanced machine learning to detect cancer at its earliest, most treatable stages. By analyzing a combination of tumor-derived signals and the body's holistic immune response from a standard blood draw, Freenome's AI architecture identifies high-dimensional patterns across genomic, proteomic, and epigenetic data layers. As of 2026, Freenome has solidified its market position by expanding from its cornerstone Colorectal Cancer (CRC) screening tool into a comprehensive Multi-Cancer Early Detection (MCED) suite. The technical backbone employs deep learning ensembles trained on massive clinical cohorts, allowing for the differentiation of malignant signals from background biological noise with industry-leading sensitivity and specificity. The platform is designed for seamless clinical integration, providing physicians with actionable insights that bridge the gap between complex molecular biology and routine patient care, effectively shifting the oncology paradigm from reactive treatment to proactive prevention.
Freenome is a pioneering biotechnology company utilizing a multiomics platform integrated with advanced machine learning to detect cancer at its earliest, most treatable stages.
Explore all tools that specialize in biomarker discovery. This domain focus ensures Freenome delivers optimized results for this specific requirement.
Combines cell-free DNA (cfDNA) fragmentomics with proteomic and epigenetic markers to create a unified biological signal.
Uses machine learning to detect systemic immune system changes triggered by the presence of early-stage malignancy.
Analyzes the length and pattern of DNA fragments to identify tissue-of-origin and cancerous signatures.
Highly scalable Next-Generation Sequencing (NGS) workflow with robotic sample handling and real-time QC monitoring.
Statically weights multiple neural network architectures to reach a consensus on the probability of malignancy.
Standardized FHIR-based API for seamless data exchange between the lab and clinical management software.
Algorithmic assessment of longitudinal data to predict future cancer risk beyond immediate detection.
Clinical facility registration and provider credentialing.
Integration of Freenome's ordering system with existing Electronic Health Records (EHR).
Provider identifies eligible patients based on screening guidelines.
Phlebotomy-based blood draw using Freenome-specific collection kits.
Logistics-managed sample transport to Freenome's CLIA-certified laboratory.
High-throughput sequencing and multiomic data extraction.
AI-driven analysis using proprietary deep learning models for signal detection.
Quality control audit of molecular and computational data layers.
Generation of a clinical-grade diagnostic report with actionable results.
Electronic delivery of results to the ordering physician and patient portal.
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Verified feedback from other users.
"Highly praised by clinicians for its ease of use and high sensitivity in detecting early-stage colorectal cancer; patient feedback emphasizes the convenience of blood draws over colonoscopies."
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