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Nodule Science

Nodule Science offers the E‑LENS platform, an AI‑driven radiomics solution that automatically detects pulmonary nodules on CT scans, assigns a quantitative malignancy similarity index, and tracks nodule changes over time. Integrated with existing PACS and radiology systems, it provides consistent risk scores to help hospitals and screening programs prioritize follow‑up and improve early lung cancer diagnosis.

Founded 20242200+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Lung cancer often remains undiagnosed until late stages because incidental pulmonary nodules detected on CT scans are numerous, small, and visually indistinguishable, leading to inconsistent follow‑up and delayed treatment.

Solution

Nodule Science’s E‑LENS platform applies AI‑driven radiomics to automatically detect lung nodules on existing imaging studies and assign a quantitative risk score for each finding. The system integrates the FDA‑cleared RevealDX engine to provide consistent, data‑based assessments that support clinicians in triaging patients and planning follow‑up. Automated nodule tracking monitors changes over time, reducing manual workload and minimizing the “wait and see” uncertainty for small nodules. By embedding these capabilities into current radiology workflows, E‑LENS creates a data‑centric ecosystem that streamlines screening programs and enables earlier, more accurate lung cancer diagnosis.

Target Audience

Primary customers are hospitals, imaging centers, and lung cancer screening programs that need reliable, automated nodule assessment and follow‑up management.

Features

  • AI‑powered nodule detection using the FDA‑cleared RevealDX radiomics platform
  • Automated longitudinal tracking of individual nodules across serial scans
  • Quantitative malignancy similarity index (mSI™) for risk stratification and triage
  • Seamless integration with existing PACS and radiology information systems
  • Multidisciplinary support tools for radiologists, pulmonologists, thoracic surgeons, and oncology teams
  • Secure, cloud‑based data management with encrypted transmission and storage
This profile is AI-generated and may contain inaccuracies.